Arm Treasure Data Reviews

<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener noreferrer'>Customer Verified: Read more.</a>
98 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.3 out of 101

Do you work for this company? Manage this listing

Overall Rating

Reviewer's Company Size

Last Updated

By Topic

Industry

Department

Experience

Job Type

Role

Reviews (1-25 of 55)

Eunice Lau profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source
We utilize Treasure Data as a way to bring in data from SFDC and translate it in a useful way for Tableau. It is a workflow management tool, SQL tool, and exporter. SFDC reporting has limitations especially for cohort analysis, so we need to manipulate the data outside of SFDC. TD provides a great way to import and export data we need into SFDC. The entire company utilizes the data from SFDC. Only select analysts are able to have access to Treasure Data itself. These analysts do not have experience in managing data and data sources, so Treasure Data has been a helpful tool that assists with the gap.
  • Importing data from Salesforce and other sources - with no or little background in data sources, Treasure Data has been useful with assisting the gap.
  • Exporting data into Salesforce and Tableau is very simple to set up and can be easily scheduled.
  • Support from Treasure Data is a live chat and has been VERY helpful with assisting a lot of the little issues that we run into.
  • There are often bugs when they update the source connections. However, they are diligent and have been correcting the issues in a timely matter.
  • There are often slow downs with our workflows and increase in Presto usage hours that aren't explainable. We don't change the queries, but we see slow downs over time.
Treasure Data is great for companies that do not have a data engineer that helps with constant maintenance and updates to the data tables (sources like Salesforce). This tool is very user-friendly and helps with the management of data. However, it cannot handle large amounts of data. There isn't enough memory [unless the company is willing to pay more] to handle complicated and large queries.
Read Eunice Lau's full review
Darrin Lim profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
Arm Treasure Data is used as our production data warehouse. We also use Redshift, but are increasingly moving away from that - our cleansed, production datasets primarily exist within Arm Treasure Data.
Arm Treasure Data provides transparent access to data for auditors, which has been a huge business problem it's addressed. We can present specific schemas to auditors to monitor, and track all of their queries easily.
  • Excellent console interface.
  • Incredibly fast processing, and simple ability to shift between Hive and Spark.
  • Simple workflows - easy to understand and use.
  • Workflows could be more expansive - Python capability, for example.
  • Data visualization would be incredibly powerful.
  • Being able to merge directly to datasets outside of TD would be powerful.
Arm Treasure Data is well suited to providing multiple users with a console interface that abstracts away messy connection details. Not having to worry about how to connect to Treasure Data has been a lifesaver - it's a major point that separates it from Redshift, especially for less technical users. Furthermore, it removes the need to install any excess software. It's a great way to have a data warehouse stood up quickly that's easy to access.
Read Darrin Lim's full review
Rolando Bernabe Tribo profile photo
July 11, 2019

It's OK, I like it

Score 8 out of 10
Vetted Review
Verified User
Review Source
We use Treasure Data as the one of/main data warehouse used by the company. It's mostly used by the analytics team. Raw data is processed/aggregated here to be pushed to other downstream data sources for mainstream use/reporting. One use case is that we use it to analyze events triggered by our products to determine content correctness and trends.
  • JSON data parsing in SQL. Coming from MySQL, I found that being able to parse JSON data is very useful.
  • Product support. Their support team is exceptional.
  • Growing list of data connectors. Treasure Data has data connectors to multiple external systems like Redshift and Tableau.
  • Product not 100% polished. We're still encountering bugs/unexpected behavior.
  • The SQL console, being the main medium I use to interact with the data, can use more dev/query features like saved query templates and ability to search through saved queries.
Treasure Data is good at data ingestion, having built-in data connectors to a growing list of external systems. It also has decent scheduling and workflow capabilities but if your job workflow is complex, it might not be the ideal tool.
Read Rolando Bernabe Tribo's full review
No photo available
Score 9 out of 10
Vetted Review
Verified User
Review Source
We use Arm Treasure Data as our ETL hub. We extract data using its connectors to several sources, such as Salesforce. We transform data using Treasure's query tools and also use it to build scheduled workflows. And we ultimately load ready to use tables into visualization tools such as Tableau.

This process allows us to combine and centralize our data into a format to best make use of it to uncover business insights and create reporting for accountability and tracking purposes.
  • Building Workflows is easy using Treasure's interface. You can run many jobs in parallel or in sequence and those jobs can run at scheduled times and create the right tables and data loads you need.
  • Being able to write queries (in Presto or Hive) using the all the data sources you have brought in to either create tables, run a query, or export data to a variety of sources is seamless and intuitive.
  • Extracting data from a variety of sources is fairly easy.
  • Very responsive and helpful customer service who you can reach easily by Chat.
  • Pricing is a bit of a black box. We are currently priced on split hour usage and some spikes come out of nowhere and leave us seeking answers (and sometimes finding unsatisfactory ones).
  • Some jobs will fail, causing workflows to be interrupted due to a product change or a one-time product related issue. We usually contact Support in these cases, and while they are incredibly responsive and helpful, it would be great to have more proactive communication.
  • Treasure's UI leaves us wanting more in terms of organization and controls, especially as we scale and grow the number of data sources, queries, and workflows.
Treasure Data is a great use case for a company who is seeking to use a third-party (and at times, expensive) solution to automate the centralization of their data, even if it comes from a broad array of sources, and who has the resources to then create unified data sources and load them into a variety of options, be it Google Sheets, Tableau, or to even load enriched data into their own CRM to make the best use of it.
Read this authenticated review
No photo available
Score 7 out of 10
Vetted Review
Verified User
Review Source
Arm Treasure Data is used by our marketing department to keep track of key metrics that we value. For example, we monitor the number of monthly active users on our app, number of promotions that are sent out by our merchants, promotion claims, and also performance metrics of emails (so that we can see all of the email metrics in just once place). Treasure Data helps simplify our analytics.
  • Ability to track many different performance metrics that are across multiple campaigns inside of Marketo.
  • Centralizes the performance metrics of our product adoptions in one place so that we can see if product usage increases month over month.
  • Ability to combine multiple different data sources so that we are able to have a full view of our funnel.
  • Arm Treasure Data requests someone to be able to write SQL which isn't applicable for everything.
  • Data visualization could use some work in terms of the number of options for displaying data.
  • We encounter bugs from time to time.
Arm Treasure Data is great for a situation where you have a lot of jobs that you want to run and also the ability to schedule jobs to run at certain times. Also, its ability to extract data from multiple data sources makes it super useful if your data is stored in different areas in the organization.
Read this authenticated review
No photo available
Score 4 out of 10
Vetted Review
Verified User
Review Source
TreasureData is used to ingest analytics from our frontend and backend services, as well as to import production tables. It serves as our Data Warehouse. This allows reporting to stakeholders to be done.
  • Managed service: don't need to scale up the infrastructure by ourselves.
  • Simple to use UI.
  • Good support from TreasureData when we have problems.
  • Presto split hours limitation is a problem for us—we've essentially scaled quite quickly so the current plan is becoming expensive for us.
  • It's quite slow, but that's due to lack of computational resource.
  • When there are a large number of tables to list, the UI becomes slow and unresponsive.
It's quite well suited when you're a smaller company, not so when you have heaps of events coming in like Canva. It's also useful when there is a lack of resources to manage your own infrastructure. The easy to use UI, in general, makes it easy for analysts, and sometimes, stakeholders to write SQL queries and reports.
Read this authenticated review
No photo available
September 11, 2019

Treasure Data Review

Score 10 out of 10
Vetted Review
Verified User
Review Source
Arm Treasure Data is a preferred partner when it comes to implemented CDP solutions for our clients. Arm Treasure Data has a number of tools/technologies making data integration, collection, transformation, unification, enrichment, segmentation, and activation that is scalable and efficient.
  • Data integration and collection.
  • Data transformation.
  • Data activation.
  • CI/CD - However, there seem to be newer integrations improving this.
Treasure Data is well-suited to unify disparate/decoupled data sources into master views allowing for quick activation. It is the ultimate CDP.
Read this authenticated review
No photo available
Score 10 out of 10
Vetted Review
Verified User
Review Source
Treasure Data is used across the whole organization. We use it to create reports to help management making business decisions. We also use its Treasure Workflow feature to schedule tasks and workflows. It allows us to run big computations during the night and create custom denormalized data sets used to feed some of our in house or third party apps.
  • I love Treasure data workflows. Thanks to them I can run all my computations at night and when I arrive in the morning my clean data sets are ready to be analysed.
  • Treasure Data has good customer service. When I ask a question I always get a reply very quickly.
  • The UI is fairly easy to use.
  • The third party connectors to ingest data and the possibility to drop CSVs are great features.
  • My struggle is with the performance. There are some pages on their site that give advice on how to tune the queries.
  • However once you apply those to good practice, it is hard to understand what happens under the hood and to make further improvements.
  • I wish there is a more detailed documentation about this.
If you want to use one platform to manage your whole data pipeline from collecting the data on your app, to importing third party data using using external APIs, to running your queries and scheduling workflows Treasure Data is very good.

If you already have some mature tooling that performs one or several of those tasks it may be less appropriate.
Read this authenticated review
No photo available
Score 7 out of 10
Vetted Review
Verified User
Review Source
It is currently being used as our main Data Warehouse solution. It is a managed solution and helps us centralise, normalise, and model our data from various sources.
  • Managed service
  • Scheduling queries feature is extremely useful
  • Fast Presto engine
  • Visibility and tracking into usage
  • Scale issue
  • Editor with multiple SQL tabs rather than having to have multiple chrome tabs open
Small to medium sized businesses with lots of data and limited Data Eng capabilities in-house.
Read this authenticated review
Mike Pedersen profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
Treasure Data is being used by our R&D department essentially as a data lake. Treasure Data allowed us significantly easier access to large amounts of data, without having a team dedicated directly to its management.
  • Data ingestion
  • Multiple types of query tools
  • Flexible structure
  • Biggest spot of improvement would be the help system
From our experience, Treasure Data is perfect for capturing large amounts of data and allowing smaller teams the ability to access that data like any other database. Larger organizations might have the ability to recreate in-house.
Read Mike Pedersen's full review
Sarah Kavanagh profile photo
January 28, 2019

Arm Treasure Data review

Score 10 out of 10
Vetted Review
Verified User
Review Source
Arm Treasure Data is being used across the data side of the business for data collection, storage and queries. The warehouse structure and tables are easy to use and run queries from. This is used daily by our advertising operations team.
  • Data warehousing
  • Easy querying
  • Simple table structure
  • No room for improvement
Arm Treasure Data is a great data warehousing option for small/medium businesses requireing data collection, storage and/or third-party connections.
Read Sarah Kavanagh's full review
No photo available
Score 8 out of 10
Vetted Review
Verified User
Review Source
We use Treasure Data (TD) for both data warehousing and data analytics. TD is the central repository for most data due to its scalability. We make use of Treasure Data for a lot of use cases, ranging from creating ML models, BI reports to A/B test tracking.
  • Run big data jobs
  • Storing large amounts of data
  • Some User-Defined functions are extremely helpful
  • Tables only indexed on time
  • No inequality JOINs
TD is well suited for operating on large sets of data. The User-Defined Functions (UDFs) help with log-type tables.

On the other hand, TD does not do well with tables that require row updates. TD is also not ideal for looking at very long time ranges, since you cannot optimize queries other than on the time index.
Read this authenticated review
No photo available
February 09, 2019

Arm Treasure Data Review

Score 9 out of 10
Vetted Review
Verified User
Review Source
Arm Treasure Data is being used by specific departments of our organization. Since our organization is very huge, it is not possible for all departments to use the same tools. Arm Treasure Data acts as a single stop to managing all the customer data and making sense out or raw data. It is also extremely useful for targeted marketing. It uses basic and advanced algorithms (including machine learning and AI) to understand customer patterns. It lets us understand customer needs and what to target/focus on each customer.
  • It has the capability to absorb big-data, which is becoming a must with tons of data on hand. Also for a bigger organization, this is a must.
  • It is a cloud-based platform. data can be accessed from anywhere and is also secure at the same time.
  • It has a high level of scalability with fewer overheads. There is great support available from the teams.
  • It makes it possible to integrated data from different data sources.
  • Mobile support for this tool could be improved compared to other tools.
  • Pricing can be made more flexible and customized. This will also make it cheaper for specific users or users who require only certain modules in the tool.
  • The marketing campaigns could have a more in-depth/drill-down analysis of their reports.
Overall the software is excellent and can be used for various purposes and customer data management. It is very well suited when there is big-data involved. I think the leads could be managed slightly better, and the software can have more integration points with other software. Improving mobile support and being able to fetch data real-time will be of great help. This helps in managing an online and non-online campaign at the same time.
Read this authenticated review
No photo available
December 27, 2018

The intelligent CDP

Score 8 out of 10
Vetted Review
Reseller
Review Source
We are using Treasure Data as a CDP to centralize all data about final customers in one place. The data is getting imported easily then cleaned and unified. We use it to create segmentation to improve our marketing strategy and save media waste. It also empowers us with some predictive segment for churn and potentially new customers.
  • Many connectors.
  • Handle huge amount of data.
  • Easy of use.
  • No Krux integration yet.
  • Not easy to measure the return of campaigns.
Arm Treasure Data can be used if your customer data divided into several silos, from several sources.
Read this authenticated review
No photo available
Score 8 out of 10
Vetted Review
Verified User
Review Source
Treasure Data (TD) was used as a Customer Data platform in order to improve the quality of marketing having a single view of the customers. It was used across all the world units but mostly by marketing areas. It was used in order to unify the data about the customers that are stored across several (too many) databases.
  • The first and most important feature is that it is completely out of the box. You contract Arm Treasure Data and the day after you are able to ingest data, manage it, segment the audiences and then export it.
  • The power of calculation. Even having billions of records across hundreds of databases, we never wonder about the power of Arm Treasure Data to ingest and manage it.
  • The customization of scripts. It is really easy and intuitive to write script inside the platform and even workflows (series of customizable on the fly queries).
  • The chat support, available 24/7, is a really nice option for a global company!
  • Some features, important for our business use cases, were in development such as writing scripts (other than presto/hive).
  • There was no SFTP for data ingestion provided out of the box, this could be nice-to-have.
Arm Treasure Data is really well designed for data management. It is a high-quality data lake, but even more than that there are many features developed specifically for real-life issues that most data engineers are used to encountering and can be hard to solve. For instance, the management of the jobs is really easy to handle and understand at first sight. Also, the parametrization in workflows made the deployment of the tool in all zones of the world as easy as a copy/paste. It would have taken weeks to adapt the workflow to the specificity of each country otherwise (zip code, phone numbers, SSN equivalent, etc.)
On the other hand, the creation of not-available connectors (not that many, but existing) inside the platform may be improved. It is now configurable only in CLI.
Read this authenticated review
Mark Chiles profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
Treasure Data is being used across the entire organization. We are using it to define churn probability of subscribers, behavioral analysis of our online readers, event attendees that have attended multiple events, digital advertising reports, multiple integrations with our CRM and email automation systems. We have connected it to Tableau to give us a strong data visualization element of our raw data. The biggest business problem that Treasure Data addresses is that it gives us a single platform for data collection and analysis.
  • Treasure Data is very flexible for ingesting different data sets.
  • The native integrations that they have built are among the majority of the systems that we have, therefore creating a data lake was relatively simple.
  • The product team at Treasure Data was able to build a new connector, as a partner to us as a client, for managing our event attendees and revenue impact.
  • One of the issues that we faced, when onboarding, was the lack of understanding around what we were trying to accomplish as a company, and not being made aware of some of the functionality in Treasure Data.
  • The documentation doesn't always have all of the steps, from a layman's perspective, to be able to set up more intricate custom connections.
  • We had an issue, specific to our needs, where the Doubleclick For Publishers (DFP) API connection wouldn't use a dynamic date range for data ingestion, therefore we have to change the date query each month, on the last day of the month, to pull in the latest digital advertiser information.
Treasure Data is well suited for pulling in multiple data sets, to help define and understand your audience, business, predictive scoring and having a central platform for doing data analysis and data science.

What it's not well suited for, however, is heavy charting and data visualization. We've had limitations using Treasure Reporting.
Read Mark Chiles's full review
Nicolas Nadeau profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
At Exostatic, we help companies run their data pipelines and successfully implemented Treasure Data in some of them. Treasure Data is a solid partner with a truly effective ETL platform.
  • Flexibility
  • Power
  • Ability to connect to multiple data sources
  • Nothing I think of at the moment, Treasure Data is always responsive when an improvement is needed
Treasure Data is particularly useful when companies have numerous data sources to connect in order to be able to make strategic decisions.
Read Nicolas Nadeau's full review
Scott Arbeitman profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
We use Treasure Data to collect and transform data from multiple sources for the purpose of product analytics.
  • Great library of connectors
  • Workflow engine is simple, but in a good way
  • Presto query performance is very good
  • Support is very good, especially with live chat
  • Presto support is missing key types making it surprisingly verbose to do this as you need to cast things back and forth
  • Lack of support for deploying our own connectors
  • Cannot write Ruby or Python code in workflows
If you are a mid-size company with disparate data sources and you want to build a data lake and/or data warehouse, Treasure Data may be a good fit. If you want to syndicate data to other data sources, when supported by Treasure Data, beyond a data warehouse, such as to Salesforce or Amplitude, Treasure Data is also a great fit.

For most of your data collection and analytical needs, Treasure Data is a great stack.

If you have very complex privacy requirements, esoteric data stores or have a capable and unconstrained infrastructure team, a better path may be to build instead of buy in this space.
Read Scott Arbeitman's full review
Zankhana Shah profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source
It is used by BI department to fill the gap between transactional database and data warehouse.
  • API connection for multi sources are made very user friendly
  • Workflow option makes it easy to manage day to day manual activities
  • Easy to join multiple datasources in one code
  • User access can be more layered
  • Some of the programming language functionality are not available which makes it hard for developers to find work arounds.
Bringing Google Analytics data via API into the environment was very helpful as we were able to utilized GA attributes with our internal KPIs.
Read Zankhana Shah's full review
No photo available
Score 10 out of 10
Vetted Review
Verified User
Review Source
Treasure Data is used by the Data and Analytics team to act as the basis for our entire data infrastructure.

Treasure Data makes the process of ingesting, organising, processing and then outputting data extremely easy, centralised and reliable. It allows our small data team to focus on the outcomes that the data supports, the use-cases, instead of dev-ops.

As such, the data inside of TD is used by everyone in the organisation in some form or another, from making data available to Looker, our BI tool, to pushing audiences out to Advertising Platforms, to generating complicated reporting for specific management stakeholders. The easy of not having to build connectors into services, or a workflow management system is a major benefit to us.
  • Workflow Management -> Easy to integrate saved queries, centralised, good debugging, powerful Directed Acyclic Graph functionality
  • Support -> Absolutely outstanding support, I have never had an issue which has been put in the "too hard, cannot fix, work around" pile.
  • Effective Management of Hadoop Clusters -> Interactive querying of our Hadoop clusters, never having to think about the dev-ops, availability or CPU load of our queries is an incredible force multiplier for us
  • The breadth of connectors to APIs is good, but some of the connectors are at best confusing, and at worst outright hostile to users. Some of the errors and connection settings are incomprehensible.
  • I would like to be able to run simple arbitrary scripts in the workflows, though I understand why this is hard.
  • I would like a breakdown of utilisation by query, to allow me to understand which elements of my workflows are potentially so inefficient as to be causing problems. While TD's compute power is (to me) effectively infinite this isn't a blocking problem. However on the understanding that it actually is finite, this is important. This will get more important the more we set up.
The only scenario where I would not suggest Treasure Data, is either in organisations which are too small to pay the fee and must resort to open source solutions, or organisations so large and sophisticated that limitations around workflows and connectors are more critical than the overwhelming efficiency saving.

TD is good for any team which does not wish to invest significant resources in developing and maintaining their data infrastructure. Even teams with dedicated Data Engineers should benefit from those engineers working on more interesting issues than "keeping the lights on".
Read this authenticated review
No photo available
Score 8 out of 10
Vetted Review
Verified User
Review Source
TreasureData 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 TreasureData in the first place.
  • TreasureData is excellent in integration with various software and services.
  • Implementation of the their SDK is also very easy.
  • TreasureData SDK works well in our applications and does not crush.
  • Data management is very challenging with TreasureData (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.
TreasureData 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.
Read this authenticated review
Cody Jannetti profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use Treasure Data within our mobile games to track in-app events. The entire company uses the data however the major use is within monetization. Treasure Data’s platform is very much misunderstood. TD is not just a cloud storage or hosted middleware solution, it is an entire information management platform which offers cradle to grave data services from ETL to Stats. TD SDK + Digdag + TD workflow + TD storage + TD Connections + TD machine learning = IT/BI/DA off the shelf
  • It is reliable- uptime is 99.99%
  • Job processing is easy
  • The new workflow tool is outstanding. It allows various data processing options with extensive metadata surrounding the success of the workflow. 100% dynamic including options for parallel processing jobs. One of the best features in my option. And with digdag
  • Easy integration
  • Td needs to focus on increased processing speed. Not by adding more resources but rather indexing partitioning or allowing primary keys outside of time
  • WhatTreasure Data offers requires a change of mindset with a focus on the big picture. I believe it is largely misunderstood. More education and really- you need a solution architect to ask how the technology is used and not why
  • Data mapping from their sdk to Treasure Data should be more flexible
Treasure Data is meant to be used for large data. If your collecting over 100gb of data daily Treasure Data is your plan form to support. The best scenario is to connect Treasure Data directly to the source of data. Relaying data from source to internal then to Treasure Data is not recommended.
Read Cody Jannetti's full review
Chikashi Kato profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
We are using Treasure Data as our main data analysis platform and its main users are Analytics team and Engineering team. We are actively using it for large data analysis such as traffic log analysis of our web site. It helps us to understand customers' needs based on the data in order to provide a better user experience.
  • Treasure Data provides a comprehensive tool set necessary for the big data analysis such as a bulk data loader, data import/export connectors and a workflow engine along with powerful SQL based query engine (Presto).
  • Treasure Data's support is amazing. They provided us the initial setup support as well as conducted the user training sessions. Also, their support engineers are almost always online and super responsive for any type of questions.
  • Since Treasure Data is a managed service, we don't have to worry about the maintenance much. They keep their system up-to-date and make it accessible 24/7 for you. So we can focus on the analysis.
  • Since Treasure Data's product is mainly open source based, it's updated very frequently. So, Treasure Data's documentation was outdated from time to time. It would be great if they can keep their documentation fresh and accurate.
  • This is also related to Treasure Data's frequent update, but they are not providing a release note for each new release. They only provide a release note about the high-level updates happened in the past month. Most of the time, it's not a big issue. But when their update breaks our existing functionalities, it's pretty annoying to find out the root cause of the issue because we cannot know which modules are updated.
  • Treasure Data has a bunch of functionalities, but not all of them have many users. So, when you use their unpopular functionalities, you might face some weird bugs or performance issues and need to work with their support engineers to find out solutions. Basically, they are addressing the issues very quickly, though.
Since Treasure Data is designed to process a large amount of the time series data, it works very well for analyzing system logs such as web servers' access log. But if the data is very sparse or not the time series data, Treasure Data cannot fully provide an expected performance.

Treasure Data allows us to import the data from multiple sources very easily through their variety of data connectors. This is very helpful for analyzing the correlation between the data of isolated systems (e.g. connecting Amplitude's data to Zendesk's data). However, if the data source provides denormalized data (e.g Array of the data or JSON string), you need to spend extra effort to parse it.

Read Chikashi Kato's full review
Drew Johnson profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
Treasure Data is being used as an ETL platform and analytical database across the organization at Silvercar. Treasure Data supports three different business units within the company (our B2C airport car rental business, our B2B dealership hardware/software business and our B2B2C corporate product). At Silvercar we use Treasure Data to ingest data directly from our business systems (GA, AppAnnie, Salesforce, Netsuite, JIRA, etc.) and internal databases (mySQL) to create a data lake and run all our data transformation jobs accordingly. We also use Treasure Data as an analytical database to process our largest jobs.

We choose to use Treasure Data for this process because we can create, manage and schedule these jobs without the need for a data engineer or developer to create these custom scripts for us.
  • API/Connectors to a number of different business systems
  • Easy to use analytical database
  • Great customer support (direct chat, etc.)
  • Does not integrate directly with our BI system (Looker) yet, although we can push data to Looker indirectly.
Treasure Data offered us a simple solution to our biggest data challenges which were creating API/connectors to our business systems and standing up an analytical database without the need for hiring a data engineer or involving our development team. The platform is also SQL based which is aligned with the skillsets of our BI/Analytics team.
Read Drew Johnson's full review
Johnny Kamel profile photo
October 30, 2017

TD Revew

Score 9 out of 10
Vetted Review
Verified User
Review Source
Treasure data is used by a select analysts and data engineers as the main ETL platform for event based data.

Our company includes two main sets of data, app analytics events logged when users interact with our apps and static data that is more business/inventory/finance focused.

Treasure data deals with the former (in correlation with the rest of the datasets that we house at our company) to aggregate and transform raw data into actionable usable tables
  • Connecting with other platforms. Love the connectors that TD offers and how easy they are to use
  • Scheduled queries are also very easy to manage and incorporate in workflos
  • TD UDFs are particularly handy and a great way to simplify code
  • Searching for past older jobs can be tedious sometimes. wish there was a more robust ability to search oder queries
Well suited for:
- workflow management
- aggregation an transformation layer

Not well suited for:
- Quick check queries
Read Johnny Kamel's full review

About Arm Treasure Data

Arm Treasure Data’s enterprise Customer Data Platform helps businesses simplify the complexity of managing customer data across millions of touchpoints. It is designed to enable marketers and customer experience professionals to efficiently collect and analyze customer data throughout the customer lifecycle, all within a single platform. As a result, marketers gain greater customer insights, better decisions for personalized messages, improved campaign conversion, and opportunities to increase the lifetime value of every customer. With built in enterprise-grade security and scale, Arm Treasure Data's customers include 100 of the Forbes Global 2000, with 370+ customers over 10 industries, and data centers spanning all continents.
Categories:  Data Warehouse,  Customer Data

Arm Treasure Data Features

Arm Treasure Data Screenshots

Arm Treasure Data Videos (4)

Why Arm Treasure Data Enterprise CDP

Watch Become a Data Pioneer with Arm Treasure Data

Watch How a Customer Data Platform Achieves Over 800% Marketing ROI

Watch The Truth About Personalization: Using a CDP to Personalize Marketing

Arm Treasure Data Downloadables

Arm Treasure Data Integrations

Marketo, Segment, Mixpanel, Google Analytics, AppsFlyer, Adjust Attribution, Amplitude Analytics, Chartio, Tableau Desktop, Tableau Server, Looker, Domo, Adobe Analytics, Heap, Hadoop, Amazon Redshift, App Annie, Microsoft Power BI, Tableau Online, Pentaho, Metric Insights, Microsoft Office 2016, Microsoft Azure, Google Cloud Storage, Google Drive, Intercom, Zendesk, Elasticsearch, MongoDB, Google BigQuery, Microsoft SQL Server, PostgreSQL, Snowflake, MySQL, MariaDB, Docker, Heroku Platform, Stripe, Mailchimp, Salesforce Marketing Cloud Email Studio, Oracle Eloqua, Pardot, HubSpot, Oracle Responsys, NetSuite, Facebook for Business, Sizmek, AdRoll, LiveRamp IdentityLink, Datorama, Twitter Ads, Google Tag Manager, Branch, Amazon Kinesis, Unity, iOS, Android, TUNE (formerly HasOffers), Google Marketing Platform (formerly DoubleClick), salesforce sales cloud, kafka, hive mall, jupyter, pandas, R, mLab, fluentd, JDBC, Luigi, Python, Rest API, informatica, ruby, eyeota, instagram Ads, xbee, MQTT, RaspberryPi, Serial Devices, CSV, FTP, Webhooks, mysql workbench, razorSQL, SQuirreL SQL, Unreal Engine

Arm Treasure Data Competitors

Pricing

Does not have featureFree Trial Available?No
Does not have featureFree or Freemium Version Available?No
Has featurePremium Consulting/Integration Services Available?Yes
Entry-level set up fee?No

Arm Treasure Data Customer Size Distribution

Consumers
0%
Small Businesses (1-50 employees)
0%
Mid-Size Companies (51-500 employees)
40%
Enterprises (> 500 employees)
60%

Arm Treasure Data Support Options

 Free VersionPaid Version
Forum/Community
FAQ/Knowledgebase
Social Media
Video Tutorials / Webinar
Phone
Live Chat
Email

Arm Treasure Data Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No
Supported Languages: English, Japanese