Treasure Data

Treasure Data

Top Rated
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Score 8.8 out of 10
Top Rated
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Treasure Data

Overview

What is Treasure Data?

Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data...
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Recent Reviews

Treasure Data for Seniors

9 out of 10
March 23, 2021
Treasure Data is being used by the Marketing Department for the purpose of connecting contacts from all channels. This helps with …
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How Treasure Data Differs From Its Competitors

Process Improvement

Treasure Data allows companies to unlock the hidden relationship in the UI without needing to rely on internal technical resources. It becomes the source of truth for customer data, and a central hub to send this data out to other marketing channels.
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Future Use Cases

Treasure Data is a product that Leverage Lab helps clients realize the power of their customer data. So far, we've helped clients use Customer Journey Orchestration, and Web Personalization for activation on the web and out to other marketing channels (on-page advertising and off-paid social and …
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Process Improvement

Treasure Data is a data-driven option, more so in dealing with a real-time database and events, allowing all the insights to be actionable and accurate. Besides, the aspect of central coordination and connection of the database makes the sharing of content and skills swift. Again, Treasure Data …
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Future Use Cases

One of the efficient features that Treasure Data established is developing a customer journey, based on what they do in the company, the relationship they have, and the products they purchase. Fortunately, the future plans in the company are to profile and map the customer's basics and details for …
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Becoming Data-Driven

We are still working towards being data-driven. Treasure Data has been a significant factor in that transition, for us. We are now able to share reports, do real-time queries and analysis, and showcase the data into a more manageable standpoint, using visualization to executive leadership and …
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Process Improvement

We are definitely on the right path with Treasure Data. Before decisions were made by gut-feeling, we still have a bit of that. However, little by little, we have put real-time reports in place to measure the common KPIs that allow us to track our campaigns' effectiveness. We have been able to …
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Process Improvement

Yes, the most evident result of using Treasure Data is the cleansing, consolidation, and unification of data from many different departments/owners of data. Then, using the unified customer data as the gold standard by activating it back to the channel systems with a more complete view of their …
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Future Use Cases

In the future, there are two primary features that will be integrated with TD. The first is to integrate our R packages into the environment to allow those models to directly access the unified customer data. The second is to detect triggering events that can feed audiences into more sophisticated …
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Becoming Data-Driven

Just during the implementation phase, we discovered multiple data sources that we were not using effectively. That would probably be the case no matter which CDP we implemented, but nevertheless, it opened our eyes. Most importantly, it's helped reinforce that we have so many opportunities when we …
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Becoming Data-Driven

The initial target of the Treasure Data deployment was to end the existence of data silos, creating this central point to collect, store and make consumer data available. For this kind of use case, Treasure Data is perfect.
We now see all local teams using the same product to drive their marketing …
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Process Improvement

One of the main targets of adopting treasure data was to end data silos. At this point, we have zones all around the globe fully using this solution, which means that we are on the right way to reach our objective. We have full support from the Treasure Data team to get there.
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Becoming Data-Driven

Treasure Data is a key product in my technology stack to become a more data-driven company. Assisting in building a real 360 view of our customer and consumer to use in marketing automation and media activation. This has driven a large data-centric transformation at my company and has driven a …
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Becoming Data-Driven

The main impact overall is, there is no one in the company creating digital products, or points of interaction with consumers without integrating it with Treasure Data.
Also, marketing teams are starting to focus more on Consumer Data to pick up insights and details about audiences before launching …
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Becoming Data-Driven

This tool is definitely helping our marketing team become more data-driven. We are still building our data structure and in this process, we are discovering items we see immediate improvements. So we are seeing benefits.
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Becoming Data-Driven

We ourselves are a data-driven company, offering data and insights to our customers. Treasure Data empowers us to be a scalable platform. We have an internal saying that if it moves, graph it. Treasure Data allows us to track and graph every metric we can think of, helping us understand the data …
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Becoming Data-Driven

Treasure Data has helped us be more data-driven for sure on the marketing side of the organization. The intuitive and user-friendly UI provide a great picture and view of our clients.
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Becoming Data-Driven

In the past, organizations didn't know how to view data at all, but there was a perception that if they did business while looking at the data, they could perform better, and that data could be used to determine how to proceed even if the performance was not successful. However, since …
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Becoming Data-Driven

Treasure Data has allowed us to become more data-driven. We have aggregated all of our data into Treasure and we are visualizing the growth and engagement of our audience within Tableau. We are now able to prove the effectiveness of our marketing efforts using the Treasure Data platform, which …
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Becoming Data-Driven

MSIL has always been a data driven player, but with TD coming in the MSIL ecosystem it has definitely added value & useful insights to drive business. More or less all the business teams are aligned towards using CDP powered by TD in order to improve performance & also it has changed the …
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Becoming Data-Driven

Yes, Treasure Data has the ability to ingest information, and unifying it with behavior data at user level allows organisation to articulated the user actions and interest level at a very great detail and use this information to structure outreach programs, marketing initiatives and strategic …
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Becoming Data-Driven

Within the 1st year of Treasure Data implementation, we are already seeing not just the Marketing but CX and Lead nurturing decisions made through it. Most teams have now subscribed to the dashboards running on top of Treasure Data for their insights mining.
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Becoming Data-Driven

Treasure Data is helping our company to be more data driven by creating a culture where data needs to be always part of the strategy of any marketing campaign, as we need more quality data to ensure good activation results. Now, even business teams are hiring technical people to ensure this happens.
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Becoming Data-Driven

I believe it has for the client we have implemented. Data is available and easy to explore and sits on 1 single place instead of many tools
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Becoming Data-Driven

By creating a customer data platform on Treasure Data, the client wants to better understand customers needs and offer better services/products.
All this is achieved using native segmentation tool and computation of metrics which are heavily relying on data availability.
The rules to compute the …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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What is Treasure Data?

Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements that…

Entry-level set up fee?

  • Setup fee optionalOptional
For the latest information on pricing, visithttps://www.treasuredata.com/pricinghtt…

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Demos

What is a Customer Data Platform (CDP)? [The Ultimate Guide]
23:34
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Product Details

What is Treasure Data?

Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements that drive value and protect privacy for every customer, every time.

According to the vendor, Treasure Data serves customers globally across a broad base of industries that utilize it for personalization at scale:
• 170+ Pre-built connectors to collect data and activate profiles
• 2M+ Events collected every second
• 10B+M Profiles activated every month
• 130T Records managed
• 1M Presto queries run daily
• 30T+ Rows of data processed daily
• 99.99% Uptime

Treasure Data Screenshots

Screenshot of Out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.Screenshot of Powerful query toolsScreenshot of Fast and easy audience builder

Treasure Data Videos

Treasure Data Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
Supported Countriesglobal
Supported LanguagesEnglish, Japanese

Frequently Asked Questions

Twilio Segment, BlueConic, and Lytics are common alternatives for Treasure Data.

Reviewers rate Support Rating highest, with a score of 8.2.

The most common users of Treasure Data are from Mid-sized Companies (51-1,000 employees).

Treasure Data Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)10%
Mid-Size Companies (51-500 employees)50%
Enterprises (more than 500 employees)40%
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Comparisons

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Reviews

(1-5 of 5)
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Anderson Pelegrini | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Treasure Data is being used for data capture for almost every country in the world. It helps in data capture and availability.
  • It helps a lot on data capture and availability.
  • Helps on data visualization for all the marketers in the world.
  • It is pretty fast working with big data.
  • I think maybe the structure, like its not possible to create tables with specific fields.
I do not see where it is less appropriate to use it, anyone that needs to store data, Treasure Data seems like a gold choice.
  • Positive on storing and showing data insights for the marketers.
I think it does, I know that a lot of marketers use our data in Treasure Data to make decisions.
  • Creating dashboards, in treasure insights.
I haven't used other products, just a few features from Treasure Data, like treasure insights.
Treasure data is used to load and treat it to disponibilize to the final user
5
To work with treasure data at maximum potential, you need sql skills.
  • Data availability
  • God support, answers pretty quickly
  • Scalable platform, supports well new amount of data
  • Maybe for big python implementations
  • Use it to run complex machine learning projects
Because treasure data is a great platform with a great support team behind, it's a scalable solution that deals well with huge amounts of data every day and has a huge catalog of integrations that can be easily use to download data from several platforms, like aws s3, redshift, google bigquery.
Yes
Yes, but I was not here at the time so I do not have any information.
  • Product Features
  • Product Usability
  • Prior Experience with the Product
I am not sure about the pricing itself, but I think treasure data still is a crucial project that we ave going on in the entire word for ab inbev, and as the platform offers a lot of options to use it, as it's own dashboard BI platform to have a better visualization.
I was not envolved in treasure data decision, but for what i hear the platform was a huge upgrade considering the funcionalities and availability.
  • Don't know
  • I guess find good ways to work the data inside the platform
  • Zones adoption
I do not as I was not here when the platform were integrated
  • in-person training
I was not here when treasure data was implemented to our company.
I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.
I think treasure data is a platform that can be adaptable to your needs, so when abi needs some new implementation, or maybe a new functionality, treasure data delivery it.
Actually I think depends in what you are working and what you need from treasure data, so you need to choose the best tool for that. For example treasure insights, it's a great platform, but the model building were not made to be a real time dashboard if you have more then 50 milion records.
No - we have not done any customization to the interface
No - we have not done any custom code
Not really, the one big change that I am aware was about a storage issue when exporting data, and treasure data worked and gave us a new feature to fix the issue.
yes, Abi does have the premium suport, as we do deal with a lot of final users that requires a quick response.
Because most of the time, treasure data answers all my requests at a maximum one day timeline.
Yes
Yeah, i reported a storage bug and treasure data developed an improvement for us to be able to export a huge amount of data.
Just yesterday I need help with creating secrets workflows using an api rest, and Ivan presented to me a perfect and functional example how to do so, and that saved a couple hours of reading the documentation.
  • Master segment, where you can easily filter data
  • A huge catalog of integrations
  • Easy way to export data
  • using python in treasure data could be a challenge
  • Create tables with different columns formats
  • Export more than 2 Billion records
It's a easy platform to use and give the user detailed logs about what is going on in the workflows, so someone that do not have a lot of experience can start to work with it.
And also the master segment usability is awesome, as we can filter a lot of data the way we want.
In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.
As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability
Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.
  • Amazon redshift
  • Google sheet
  • Google bigquery
  • Amazon s3
For these integrations, we were downloading data into cdp, and it was really easy to do so, as the configuration and setup for the connector it's really fast to be completed
  • Not really, all the integrations that I need to develop, treasure data already had the connector
N/A
  • File import/export
  • Single Signon
  • API (e.g. SOAP or REST)
  • ETL tools
I think most of the integrations we have is about export and import data.
The integrations facility that treasure data supports, in my opinion is the strongest part of the platform, since you have a huge catalog of possibilities, and tis helps a lot the zones to organize their data.
Just keep doing the great integration work!
I do not participate in any sales project with CDP or ABI.
I do not participate in any sales project with CDP or ABI.
I do not participate in any sales project with CDP or ABI.
I do not participate in any sales project with CDP or ABI.
Yes
Yes, they worked very nice to delivery a god transition
  • I am not aware of the new upgrade, only by the contract upgrade
  • I would like if the workflows could load the logs faster
  • And sometimes the loading from the workflows could take a while, so it would be nice to fix that as well
No
No
Score 10 out of 10
Vetted Review
Verified User
It is being rolled out in phases but will be used across the whole organization. Currently within sales and marketing, primarily. With the ultimate goal of complete customer-centricity, the main problem we are addressing with the CDP is creating better experiences for our customers. Additionally, we have so much data that we need to unify and bring into one place.
  • Knowledgeable team
  • Helpful in setting up platform
  • Insightful tools, platform, and people
  • Great at strategic planning in our use cases
  • Training has been great. We've had many training sessions across the org that were held by the ATD team.
  • Hard to use if you're not heavily involved in data and analytics. We are hoping for an easier way for the marketing teams to utilize.
  • Dashboards aren't super intuitive, but just require some additional walk-throughs.
  • Need more resources
  • We've run into some memory issues on the platform, but the ATD team is making improvements to fix these.
Utilizing Treasure Data will definitely help in creating better customer experience or centricity within your organization. It's very important to build a team that has many members all throughout your organization, purely focused on the customer data platform as this platform and the use cases that go along with it are a beast. But, definitely, it has been paying off.
  • We've been driving incremental revenue within our current use cases.
  • Allows us to bring many 3rd-party tools in-house, which is a cost-saver and allows the platform to pay for itself.
  • Brings our data together in a way we didn't realize was possible.
  • A better understanding of our customer
Yes, the Treasure Data platform is definitely driving organizational change and making us much more data-driven. We are really finding that we have so much data, internally, that no one has the full breadth of it until we started this project. Internal processes and work change management are slowly changing as well. It has been a bit tough on that front, getting everyone on board to think of the CDP as the new way "of life."
  • Increased personalization via various marketing campaigns, in new ways
  • A holistic look at our customers and engagement with the company and our brands
  • Scoring of our customers, active and inactive
I did/do think that Adobe Analytics is a good tool that helps bring in all data. I really think the big point with the tool is for metrics and de-duping across media campaigns. Treasure Data is definitely much more than that. You do get to see how all of your campaigns 'play' together but it's more of a customer-focused tool that makes sure you're not overly communicating with anyone.
Adobe Analytics, Adobe Audience Manager, Adobe Dynamic Tag Management (DTM)
We have users and people who are involved with the use of the Treasure Data CDP, from nearly all functions of our organization. Primarily the main "users" are on the IT and data analytics side. But, our marketing side on both pre- and post-sales depends on this tool. Also, our media agencies and partners use the data from this tool as well.
11
We have 11 people in total that are 100% committed to supporting Treasure Data. The positions include program managers, project managers, IT (several areas), data scientists, and data engineers. Outside of the core group, we have representatives from each main stakeholder from pre and post-sales, marketing, media, customer relations management, etc.
  • Increase personalization within our current campaigns
  • Bringing in tools that are sourced from outside vendors, in-house by utilizing the data we store within Treasure Data
  • Customer and engagement scoring
  • Bringing in potentially more vendor products in-house to reduce costs and make them more personalized
  • Additional audience building within media campaigns
  • Tapping into our dealer's internal systems to gather more information
I do think that we definitely will be renewing. We are putting major resources, time, and effort into Treasure Data becoming an extension of our organization, in many ways. We are working toward complete synergies with this product and leadership is very excited about the direction we are heading to be completely customer-centric.
Yes
We are replacing our email deployment tools, some of our 3rd-party vendor products, and some aspects of our campaign management system. Having all of the tools in 1 location, which enriched data and customer profiles is the smart way to go. We will have additional information and data and easier to have everything in one place. Additionally, it's a cost savings.
The technical abilities made us choose Treasure Data over other products that we looked at. The fact that the tool can bring many things in-house vs being single-threaded like we noticed some of the other vendors were. The price is pretty comparable across the board, so that wasn't a huge driver for us. Additionally, the profile unification features were a big win.
I do know that this was a very strenuous and time-consuming project to undertake. I do believe that all of the time and effort put into it was worth it. Perhaps if we would have dug in a bit more on the technical and usability side, that could have been beneficial to us.
Not Sure
The team is very supportive. I do feel like we are in need of added resources though. The main issue we are having is with our reporting dashboards. Getting them up and running has not been the easiest task for us. Also, unification has been harder than we anticipated, but the team is very much all hands on deck trying to get us through this.
No
The team, as I mentioned, are very much all hands on deck. We see that they are working all hours of the night to ensure that we are on a good path and our issues are resolved. We literally see that they are working until 5 AM our time and will be present in a meeting the next morning without any concern. They definitely care about our well-being and success.
  • Query finding and loading
  • Reading the data
  • Interface is intuitive to use
  • The dashboards aren't very intuitive (for reporting)
  • Building actual queries
  • Audience segmentation in a way that makes sense to marketers
If you are a data person, you will likely understand the product and how to use it well. We did find that some of our queries run into memory issues though. If you are a marketer and want to build easy audience segments, I am not sure how easy it will be for you. We are still working through this.
The Treasure Data team is great. They are very easy and pleasant to work with. It's very obvious that they care about our business and organization. They feel like an extension of our company and we are grateful for all of their support in this process. Nothing negative to say on that.
All of the same comments. We are still seeing the same level of support and are working toward additional support from them. They have gone above and beyond, especially during negotiations and contract signing due to COVID-related issues. But, never skipped a beat with us and worked diligently on good faith.
All of the same comments as the other questions. They have gone above and beyond, especially during negotiations and contract signing due to COVID-related issues. But, never skipped a beat with us and worked diligently on good faith. We did negotiate some additional assistance in shadowing and transitions from Treasure Data 100% supporting us to our team taking over, which has been very helpful
I do not think that they were difficult to negotiate with at all. I don't think I have any advice in that sense. They are offering and providing everything that we had asked for, so no change in that sense. In fact, they went above and beyond what was expected of them.
Score 10 out of 10
Vetted Review
Verified User
The marketing team at National Debt Relief is leveraging Treasure Data in many ways to expand and grow our audiences for acquisition purposes. We leverage our first-party data to create more audiences for paid social, display, and email. And that is just the tip of the iceberg. We are able to realize a slew of insights and act on them swiftly and proficiently. Out of all of the products we use (CDP, DMP, DSP) we believe that the CDP provides us the most insight and return on revenue.
  • Customer Service
  • Integration
  • Insights
  • Realizing return on investment quickly
  • Robust capabilities (younger company)
I would recommend considering Treasure Data if you believe you are able to take your first-party data and leverage it in multiple use cases and scenarios to widen your reach and scale as a company.
  • We have seen significant return on investment
Treasure Data is able to take your first-party data to the next level. The solutions we have found using Treasure Data have allowed us to grow and expand our team. The possibilities and integrations are endless and they're a team that can make it happen for you!
  • Expanding into 3P audiences and leveraging the CDP to retarget them
  • Integrate into multiple walled gardens to activate 1P LAL and overlap interest audiences
  • Stand up an integration with SalesForce marketing cloud to set up 'nudge' emails to push people down the funnel
Unfortunately, I was not apart of the decision to onboard Treasure Data. I was very new to this space when I inherited this tool and initiative on my team.
Amobee Marketing Platform (formerly Turn), Facebook for Business, Criteo Dynamic Retargeting
2
Treasure Data is used by the marketing team for customer acquisition purposes. The CDP serves us with multi-function purposes on the acquisition front. Using insights from the CDP we are able to curate lower and mid-funnel avenues so we can digitally target the potential client in the most cost-effective way.
2
For the most part, Treasure Data does the heavy lifting from the software side. However, it does help to have a team or product knowledge to make sure the data is funneled, captured, and used properly. Otherwise, the intended audiences you create in the CDP may now be accurate. From a marketing side, it's good to have someone on your team that is well equipped to understand audience and buyer personas to be able to use the CDP to the fullest extent.
  • Acquisition
  • Nurturing
  • Post-sales enrollment communications
  • Email - client newsletters
  • Email - automated reviews
No
  • Product Features
  • Product Usability
At the end of the day, we want to make sure the products we purchase continue to produce an ROI. After 1 year of use, I am happy to say that we made the right decision and we are excited by the growth we are seeing from this product.
I would not do anything differently, I am very happy with the results.
Not Sure
I think for the most part, Treasure Data supports in almost every way imaginable. We have standing calls to go over hot items as well as make sure some items are not forgotten. The only thing that happens from time to time is the prioritization of projects need to be moved to accommodate other work loads. However, they are transparent on timelines and deadlines.
No
We wanted to set up an integration with Salesforce Marketing Cloud, which was not set up internally and our product team was spread to thin to make it a priority. Treasure Data reached out to internal teams to set up API connections so we could feed in audiences, essentially creating a workaround for something we couldn't do in the past. This meant we could streamline email campaigns and processes because of the help of Treasure Data.
Score 9 out of 10
Vetted Review
Verified User
Treasure Data is used as the CDP for one of the regions (APEC) primarily for creating master customer profiles. Currently, we are using it for various use cases like Abandoned Cart/Abandoned Browse, Social Media campaigns, RFM segments, Cross-sell, etc. Additionally, the master segment and reporting/dashboarding functionalities are being used to track the growth of the number of customer profiles, attribution by various email sign-up sources, other reporting uses cases.

I have found the step-by-step workflow in building multiple segments very useful, which can be either run on-demand or scheduled for automated execution and campaign activations. The next steps are to leverage machine learning models for additional use cases like predictive scoring, etc.
  • Providing omni-channel view of customer behavior
  • Data ingestion including batch and near real-time data
  • Campaign activation including email and social media
  • Great UI, Flexible Data Model to work with given enterprise data
  • Documentation could be better for the workflows & any custom logic implemented. Seems to be improving with the new approach using Markdown.
  • API key management can be improved further
Treasure Data can work really well as a customer data platform for use cases like segmentation, campaign activation, RFM analysis, and ML models. It can handle big data well and has good reporting and dashboarding capabilities. They have a wide spectrum of connectors for various sources and targets that makes it easier to build integrations like FBM, Google 360, PySpark, etc. The dashboards are quite helpful to track the historical growth of customer population over a period of time in the form of a time-series representation of customer counts. Data is currently shared with the sensitive columns encrypted/hashed and Treasure Data has worked for the uses cases mentioned above. While it has good reporting and dashboarding capabilities, it can complement your existing Business Intelligence platforms but may not be a replacement for your enterprise reporting/BI applications.
  • Better customer engagement levels
  • Reducing churn and increasing customer LTV
  • Campaigns are now more effective resulting in higher RPU (revenue per user), better CTO rates, etc.
Prior to Treasure Data, the campaigns were mostly generic without being tailored to guest preferences. With the CDP on Treasure Data implemented, it has helped our organization to better target the customers based on their master/unique profile as well as better manage the customer lifecycle journey especially engaging with the lapsing or lapsed customers. Overall the CDP has helped in a deeper understanding of customer behavior.
  • Calculating the inferred product gender
  • Leveraging the PySpark API to get the curated/profiled data back from Treasure Data for the purpose of integrating with the data lake
  • Agilone and Acquia Platform
Based on my experience, the most striking difference between the two platforms are the way their data models are organized.
Agilone (now part of Acquia) has a very hard/strict requirement for integration with the source systems as we need to conform/adhere to their canonical/existing data model while Treasure data is quite flexible in being able to work with the respective source data as long as the relevant data was present. Overall, this has translated into a faster time to market in the case of Treasure Data and flexibility in incorporating changes/enhancements.
12
Treasure Data is mostly used within our eCommerce and Digital Marketing, Data Science and Data Analytics, and CRM (Customer Relationship Management) functions.
6
To support Treasure Data integrations, the team has skills related to Data Engineering (Azure Data Factory, Databricks, Apache Spark, ADLS, etc.) and Data Science (Python, ML, etc.)
  • Customer Data Platform for maintaining the 360-degree view of the customer
  • Activating email and social media campaigns
  • Tracking RFM scores & increasing Customer LTVs
  • Enhanced reporting and dashboarding
  • Building propensity models
  • Better retention of lapsing guests and win back of churned guests
The Treasure Data platform has significantly helped in the CDP-driven initiatives. The support from the platform and technical team have been excellent. Their online support has been very responsive.
Yes
We require the support as we are still in the process of enhancing and building new uses for the business functions like building propensity models based on various criteria like propensity to buy on markdowns/discounts, propensity to buy certain product categories, etc. There is a backlog of features like the above as well as integration of new geographies that are planned in the near future that requires further support.
The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.
Yes
The Pyspark API was not working with datasets that have array columns/datatypes. This was promptly resolved upon reporting to their technical team who in turn raised it with their product team.
When we were faced with a couple of issues in being able to integrate the curated data from Arm Treasure Data platform back to our Azure DataLake, we reached out to Arm Treasure Data's support team. They provided the much-needed support on the changes to be made in the scripts and the right way to apply the API keys to successfully establish the connection and resolve the issue.
Score 8 out of 10
Vetted Review
Verified User
Treasure Data is being used across about half of the organization. It gives us the ability to ingest, store and analyze a very large volume of gaming events. It also helps us to get near instantaneous data events from our games. Ability to handle large volume of events is why we went with Treasure Data in the first place.
  • Treasure Data is excellent in integration with various software and services.
  • Implementation of the their SDK is also very easy.
  • Treasure Data SDK works well in our applications and does not crush.
  • Data management is very challenging with Treasure Data (can't delete records, update tables, create indexes, etc.).
  • Analyzing and queries tables with very large number of records is near impossible or takes a very long time.
  • To effectively visualize data we need to first export it to SQL and the run our viz tools due to the reason above.
Treasure Data is well suited for small to medium companies who don't have a very large data sets, and need to be able to integrate with a variety of various software or services. For very big companies with large amounts of data and a decent Data Engineering team, Treasure Data might not the right fit.
  • Treasure Data allowed us to start measuring metrics in our apps which we never been able to before.
  • I would say that at this point Treasure Data is most likely ROI positive, although we haven't done extensive analysis.
We definitely have access to detailed data we did not have before with Treasure Data. This allows us to make data-driven business decisions on how to operate our mobile applications better. Our monetization strategies in our applications have improved as a result of us examining the detailed application events by a good margin.
  • We schedule a lot of our data aggregation in Treasure Data and push the data to MS SQL for faster analysis and visualizations.
  • We are looking into utilizing Treasure Data's API to do two-way communication and data passing.
Treasure Data is more cost effective than Leanplum, has more functionality then Mode or App Annie, although not as user-friendly or provides as many tools for analysis. As a data ingestion tool, Treasure Data we believe gave us the best bang for our buck. Our development team also liked Treasure Data's SDK implementation better than Leanplum's.
5
Three DA's, one BI Engineering, and a Director - All Data Analytics.
1
BI Engineering (DBA)
  • Ad Hoc Queries
  • Aggregation of Daily KPIs
  • Integration with various other tools
  • Two-way communication with Treasure Data's API
Yes
Replaced Flurry Analytics
  • Price
  • Product Features
  • Product Usability
No, I think Treasure Data is what we need.
  • Implemented in-house
No
Change management was a small part of the implementation and was well-handled
  • Naming conventions in the mobile SDK were not followed, so column names in the tables can be different across games.
Implementation was quick and our developers had very few issues with the SDK.
  • Self-taught
Documentation is excellent, so learning without training is not a problem.
No
Support is very fast via live chat and email.
No
My queries ran out of memory, support helped me optimize my Presto SQL to run my queries.
  • Running AdHoc Presto queries on relatively small data sets.
  • Scheduling queries and workflows are very easy.
  • Running Hive queries on very large data sets.
I like Treasure Data's UI, it's clean and very useable.
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