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Treasure Data has proven to be a versatile and powerful tool for a wide range of use cases. Customers have found that 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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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…
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Product Details
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- Integrations
- Competitors
- Tech Details
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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 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
Treasure Data Videos
Webinar: What is a Customer Data Platform?
Watch How a Customer Data Platform Achieves Over 800% Marketing ROI
Watch Webinar: Demystifying Customer Data Platforms, with Winterberry Group
Treasure Data Integrations
- Adobe Marketo Engage
- Twilio Segment
- Mixpanel
- Google Analytics
- AppsFlyer
- Adjust by AppLovin
- Amplitude Analytics
- Chartio (discontinued)
- Tableau Desktop
- Tableau Server
- Looker
- Domo
- Adobe Analytics
- Heap
- Apache Hadoop
- Amazon Redshift
- data.ai
- Microsoft Power BI
- Tableau Cloud
- Pentaho
- Metric Insights
- Microsoft Office 2016 (discontinued)
- Microsoft Azure
- Google Cloud Storage
- Google Drive
- Intercom
- Zendesk Suite
- Elasticsearch
- MongoDB
- Google BigQuery
- Microsoft SQL Server
- PostgreSQL
- Snowflake
- MySQL
- MariaDB Platform
- Mirantis Kubernetes Engine
- Heroku Platform
- Stripe Payments
- Mailchimp
- Salesforce Marketing Cloud Email Studio, on marketing cloud
- Salesforce Marketing Cloud
- HubSpot Marketing Hub
- NetSuite ERP
- Meta Business Suite
- Sizmek Ad Suite
- AdRoll
- LiveRamp
- Salesforce Marketing Cloud Intelligence, on Marketing Cloud
- Twitter Ads
- Google Tag Manager
- Branch
- Amazon Kinesis
- Unity
- iOS
- Android
- Unreal Engine
- Oracle Marketing
- TUNE
- Google Marketing Platform
- pandas
- Eyeota
- Oracle Responsys
- part of Oracle CX Marketing
- salesforce sales cloud
- kafka
- hive mall
- jupyter
- R
- mLab
- fluentd
- JDBC
- Luigi
- Python
- Rest API
- informatica
- ruby
- instagram Ads
- xbee
- MQTT
- RaspberryPi
- Serial Devices
- CSV
- FTP
- Webhooks
- mysql workbench
- razorSQL
- SQuirreL SQL
Treasure Data Competitors
Treasure Data Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
| Supported Countries | global |
| Supported Languages | English, Japanese |
Treasure Data Downloadables
Frequently Asked Questions
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
| Consumers | 0% |
|---|---|
| Small Businesses (1-50 employees) | 10% |
| Mid-Size Companies (51-500 employees) | 50% |
| Enterprises (more than 500 employees) | 40% |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
- Recommendations
Treasure Data has proven to be a versatile and powerful tool for a wide range of use cases. Customers have found that Treasure Data addresses the business problem of scattered data sources by providing a single platform for data collection and analysis. It serves as an ETL platform, analytical database, and data warehouse, supporting various business units across organizations. Users rely on Treasure Data as their primary storage and processing facility for large volumes of event data, eliminating the need to worry about storage and processing infrastructure.
Marketing teams utilize Treasure Data to enable a constant flow of data between databases and platforms like Salesforce, supporting email campaigns and providing refreshed data. The software helps clients understand customer behaviors, digitize the consumer base, and gain insights for business decisions, leading to increased revenue. It also serves as a central source of truth for customer data, solving the problem of fragmented information across digital and offline properties. Furthermore, Treasure Data is used for web tracking and analytics, supporting marketing teams in tracking website usage and campaign performance, ultimately improving the user experience. Overall, Treasure Data has helped companies store and secure their data while generating valuable insights to support data-driven decision-making.
Flexibility in Data Management: Many users have highly appreciated the flexibility of Treasure Data in ingesting different data sets and creating a data lake. This feature has been praised by numerous reviewers, allowing them to easily manage their data and streamline the data management process.
Extensive Native Integrations: The extensive native integrations provided by Treasure Data have received high praise from users. They have mentioned that these integrations cover the majority of systems they use, saving them time and effort in connecting different systems. Several reviewers have expressed their satisfaction with this feature.
Reliability and Uptime: Users consistently mention that Treasure Data is highly reliable, boasting a 99.99% uptime rate. This level of reliability has given them confidence in the platform and allowed them to trust that their data and jobs will always be accessible. Numerous reviewers have highlighted this aspect as one of the strengths of Treasure Data.
Cons:
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Frequent Request Failed Errors: Many users have experienced frequent "Request failed with status code 429" errors while using Treasure Data. These errors can be frustrating and disrupt the workflow, leading to delays in completing tasks.
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Lack of Error Resolution Guidance: Some reviewers have mentioned that they faced difficulties in resolving the "Request failed with status code 429" errors. They felt that there was a lack of clear guidance or documentation on how to troubleshoot and fix these issues, which made it challenging for them to resolve the errors independently.
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Impact on Productivity: The recurring "Request failed with status code 429" errors negatively impact productivity for some customers. Users expressed frustration at having to constantly deal with these errors, as it interrupts their work and requires them to spend additional time trying to resolve the issue or contacting support for assistance.
Users commonly recommend several actions for optimal use of Treasure Data. First, they suggest thoroughly testing the software before making a purchase decision. This allows customers to assess if the platform meets their specific needs and requirements. Second, users recommend having a skilled technical team in place to make the most of Treasure Data's capabilities. This ensures proper configuration and utilization of the platform's features. Lastly, users suggest engaging key personnel within the organization to maximize the benefits of using Treasure Data. This collaboration helps leverage the platform's flexibility and robustness for effective data management and analysis.
Additionally, users highly recommend Treasure Data for its comprehensive toolset, data connectors, analytical database, and excellent support. They emphasize that it is well-suited for managing massive amounts of data and allows analysts to work independently without relying heavily on engineers. With its powerful big data and business intelligence capabilities, Treasure Data can serve as an efficient ETL pipeline and facilitate seamless exporting of results to a warehousing database for scheduled queries. It is advised to ensure a comprehensive list of data sources and validate aggregation levels for accurate analysis. Reading through documentation and relying on customer success representatives are also recommended for efficient support.
Overall, users find Treasure Data to be a flexible and robust Customer Data Platform (CDP) with a powerful set of features and excellent support, making it a valuable asset for businesses dealing with large datasets.
Attribute Ratings
Reviews
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There is a limited amount of human resource in the market who has knowledge in CDP. Treasure Data is simple and easy to navigate so that a newbie might find it easy to grasp its working concepts and initiate performing on the same. Whereas Tealium is more suited for a person who has basic knowledge in CDP and not a cakewalk for beginners, which might cause some delay in finding the proper resource to work on. Treasure Data provides the performance and quality a business needs along with the advantage of reducing the time lag to understand the system as it's easy to handle and very much user friendly. These were the reasons we chose Treasure Data.
November 24, 2019
Great software for marketing
Treasure Data was also chosen before I arrived at the organization. Also, I'm not person who's in charge or writing the queries which means that I let someone know what I need to use the software for and they let me know if Treasure Data is best suited. However, that being said, we also use Tableau to view the data because writing queries is not required.
October 15, 2019
Grateful for this software!
We used to use a company called Textur, but they went out of business. We feel like we have more control using Treasure and although it is more expensive, it has allowed us to better scale and given us more options both in terms of which sources we can connect to and also which sources we can export to.
October 14, 2019
Great Start but Not at Scale
In terms of query speed and performance, Google BigQuery and Snowflake offer better performance at a lower cost. BigQuery's pricing on just the data scanned rather than cost of computation is far more attractive than Treasure Data's current model. We've selected Treasure Data initially as these services were still in their infancy. Also, we didn't have a mature data engineering team at that point in time.
October 10, 2019
Pretty good product overall
- Treasure Data can handle much bigger dataset than Redshift
- Bigquery provides a much better experience and scales much better
- Bigquery provides a much better experience and scales much better
September 11, 2019
Treasure Data Review
While Google BigQuery is an excellent data warehouse, it does not have all of the functionality of Treasure Data. Treasure Data's components make unifying and activating segments much easier.
August 22, 2019
Treasure Data works for small companies!
Treasure Data won out because they have the ability to load in data from multiple places such as Redshift and Salesforce, then export into a BI tool (which could have a better UI such as Treasure Data). Pricing was also in a reasonable range that worked for the company. We already knew that we wanted to continue using Tableau, so we needed a tool that would export data into Tableau Online.
July 15, 2019
Treasure Data is great for budding data teams.
Redshift does not have a simple web console interface for us to use. However, one area where Redshift shines and Treasure Data does not is in its pricing model. Auto-scaling is a great feature in Redshift, whereas the Presto-hours business model can be somewhat limiting at times. On the flip side, auto-scaling can ramp up costs if an unsophisticated user writes a bad query. So there are tradeoffs to both.
May 17, 2019
Treasure Data Review
- Amazon Redshift and Amazon S3 (Simple Storage Service)
Different use cases for the other products, but TD handles analytics workloads better than the other products.
May 16, 2019
Data Lake for Startups
We did not go real far down the path of evaluation of BigQuery.
February 10, 2019
Treasure Data Review
- Amazon Redshift, amazon elastic mapreduce, Snowflake, Stitch, Alooma, Cloudera Enterprise, Qubole and Altiscale
Treasure Data stacks up very well against its competitors. It is a highly scalable tool with great support. The reason we went ahead with Treasure Data is that it has good customizations and AI capabilities. With machine learning and AI becoming more and more important every day, it is important to have this feature. It has some advanced features, but obviously all tools have their own pros and cons. This tool had features that suited our business and our requirements. Although there are arguably other features that are available in other software, this suited our business.
December 24, 2018
A great all-in-one tool for data management and unsiloe-ing
Without citing competitors, I would recommend TD as a Swiss Knife in data management and unsiloe-ing. Indeed, each step of the process may be done better by other competitors but we found no other that was able to do a bit of all the steps we required (ingestion, unification, standardization, enrichment, segmentation, exportation). Choosing another platform would have led us to buy several tools instead of just one. This is something to consider if the price is not an important feature.
August 04, 2018
Good product but can improve some functionality
TD can definitely use some one of functionality like adding incremental data feature or creating store procedures
July 29, 2018
Make sure you give Treasure Data a try
Best balance of price, data collection, query engine, workflow engine and especially data output to targets other than data warehouses.
Sisense is a great BI tool, and is not truly a replacement for a tool like Treasure Data, but if you want to do ETL in your BI tool and your needs are basic, Sisense could theoretically replace Treasure Data.
When we were evaluating, Astronomer was promising, but too early in its lifecycle. If you like Airflow, it could be a good fit, but Treasure Data's Digdag workflow engine is a great starting point for DAG based ETL.
Sisense is a great BI tool, and is not truly a replacement for a tool like Treasure Data, but if you want to do ETL in your BI tool and your needs are basic, Sisense could theoretically replace Treasure Data.
When we were evaluating, Astronomer was promising, but too early in its lifecycle. If you like Airflow, it could be a good fit, but Treasure Data's Digdag workflow engine is a great starting point for DAG based ETL.
Treasure Data provides a combination of out of the box connectors, end to end functionality (Ingestion, Storage, Interactive Querying, Workflows and outputs all in one place) that no other solution we've found seems to do well. The fully managed nature of Workflow, combined with robust connectors allow us to spend the minimum time possible ensuring data pipeline integrity and the most time actually creating value as a Data Team.
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.
- Snowflake, AWS Elastic Beanstalk, Amazon S3 (Simple Storage Service), Treasure Data and Activ8 Intelligence
This is where everything gets lost in translation. There is not a competitor that offers an end to end data services solution capable of managing etl , end-user adhoc usage, data delivery, warehousing, app sdk, WORKFLOW with digdag and so much more. Let’s not forget that all this sits on Hadoop storage designed to easily manage terabytes of data. On Treasure Data’s platform. We have close to 100tb in use daily.
November 01, 2017
Treasure Data: Data infrastructure as a Service
- Google Big Query and Amazon Athena
In Treasure Data, everything is managed. While in the other products, we need to set up and maintain it ourselves. None of them provide an all-in-one data platform like Treasure Data.
October 31, 2017
How much data can you handle?
N/A - As a QA Analyst I have not been tasked with using another product like Treasure Data, nor do I know if our company has tried other products similar to Treasure Data.
October 30, 2017
TD Revew
I have not used strong products in the in past to compare TD to but I have heard from my peers that TD is a very solid product compared to the competition
October 24, 2017
Treasure Data works well
- Home made
Much better to not have to manage our own request processing
October 09, 2017
Treasure Data is a great product!
We need to download a special client for Teradata. I really like Treasure Data's web UI, it is easy to use and I don't need to download and install a client.
October 06, 2017
Treasure Data will Increase your productivity!
October 06, 2017