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Treasure Data

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

TrustRadius Insights

Treasure Data has proven to be a versatile and powerful tool for a wide range of use cases. Customers have found that Treasure Data …
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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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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 optional
    Optional
For the latest information on pricing, visithttps://www.treasuredata.com/pricinghtt…

Offerings

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

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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 and Ratings

(149)

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!

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:

  1. 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.

  2. 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.

  3. 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

(51-75 of 90)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Scott Arbeitman | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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".
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Cody Jannetti | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Treasure Data is well suited if your company wants to move fast (is data-oriented), without having to worry about data infrastructure. How much time and cost would be needed for planning, development, tweaking, and maintenance if you consider implementing it by yourself? Consider the opportunity costs as well.

However, Treasure Data is not really suitable if you do need to build a complex data infrastructure. If your company is familiar - and willing to set up Kafka, Spark, Hadoop, Apache Beam, HBase, Presto, etc., Treasure Data is not suitable for you.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Treasure Data is very well suited for a high demand data driven market like mobile applications; where trends and markets change constantly. With the data your team would be able to have a great snapshot of where and when people are doing what in your application. The amount of data that can come back can be very overwhelming and too much to sift through, but with fairly easy changes you can remove columns of data and reduce the time it takes to get the data back and read it.
October 24, 2017

Treasure Data works well

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Great for storage of large amounts of data, web traffic etc to be manipulated later - fire and forget scenarios Good for slicing and dicing data, analysis of potential usage of data. Not for fast, dynamic retrieval of information or backing source for an application
Igor Pernek | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is very well suited for use cases where the main requirement is to process store data in a scalable warehouse as a service and do batch processing of the data. It is less appropriate if the main business requirement is to be able to process streaming data in real time.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is well suited as a place to store really important production log data. It is easy to query. It will make your life easier if you need to debug some production issue. It is well suited as a place to store production business data. It is not wise to rely on a production database to do this. It is easy to store those data into Treasure Data and share with other teams.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
When working in a diverse data ecosystem where multiple data sources and outputs coexist, Treasure Data is a very good option. If the data pipeline is mainly powered by Python TD can be easily leveraged to move quickly data from one source to another. The web UI can be easily used by SQL newbies but also by experienced Analyst with the workflow and Python options.
Mike Galvin | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is very well suited when you have a need for a simple way to integrate both cloud and on premise software into a central data repository. Do not try to use this as a data warehouse replacement However, it could work nicely as a compliment to any data warehouse considering it's built in snapshot capabilities of all data by default. I was impressed with its "schema-less" design in which changes in upstream systems of source data don't break downstream integrations like many other platforms.
Michael Yang Chen | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Good if you want to run big hive queries on gigabytes to terabytes of data. Good in conjunction with other data stores and data warehouses.

Not as good when you want your database to be easily accessible to your business analysts.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It's appropriate when processing very large data sets. More than an order of tens of millions of records. Especially complicated operations with many different joins and conditions. It's not appropriate if you want to do table exploration. With small data sets and simple queries, traditional SQL workbench would do the job faster.
Jean-Michel Cabrera | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Treasure Data is well suited for analytics of large amounts of data. Ingesting the data using their workflows is made easy.
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