Treasure Data Professional, Scientific, and Technical Services Reviews & Insights

Score9 out of 10

150 Reviews and Ratings

Community insights

TrustRadius Insights for Treasure Data are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

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.

Treasure Data Reviews

16 Reviews

Professional, Scientific, and Technical ServicesInformation Technology & Services7Marketing & Advertising9

Treasure Data is a Powerful Data-Driven, Technical Customer Data Platform

Rating: 9 out of 10

Incentivized

July 14, 2022

Use Cases and Deployment Scope

Treasure Data is used as a powerful data warehouse with an attached Customer Data Platform built on top of it. Treasure Data's data processing capabilities allow it to capture billions of rows of data at scale and process it in an efficient manner, allowing it to be a true source of record for all of your customer data. Treasure Data includes powerful technology to support robust data pipelines for technical teams, and an entire suite of integrations for marketing web personalization and audience communication activations across social advertising and direct marketing platforms.

Pros

Data Processing/Ingestion
Data Integrations
Data Flexibility

Cons

Learning curve with technology
Technical Implementation Process
End- User Friendliness

Likelihood to Recommend

Treasure Data is well suited for an organization looking for a full-featured data warehouse/lake solution with additional functionalities like a Customer Data Platform, Predictive Modeling, Data Integrations, and Reporting. Treasure Data allows organizations with strong technical teams to support the marketing team with an all-inclusive platform. A scenario where this may not be as appropriate would be for organizations without internal technical resources.

Dan Drazba

Director, Strategic Services in Customer Service at Leverage Lab (Marketing & Advertising, 11-50 employees)

Vetted Review

4 years of experience

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Treasure data accelerates Omnichannel Journey

Rating: 9 out of 10

Incentivized

July 13, 2022

Use Cases and Deployment Scope

We have been implementing Treasure data at leading life science customers for more than 2 years. The platform has accelerated the Omnichannel journey and is a strategic lever for the next best action. Treasure data has the flexibility to integrate multiple sources including Web, CRM, email activities, event information, and 3rd party sources. It provides scalability to bring your own models to run on the platform.

Pros

Profile enrichment
Read to use integrators
Ease of use
Scalability

Cons

Reporting

Likelihood to Recommend

Organizations looking to accelerate the journey to Customer C360 and having desperate data sources.

Sachin Hiray

VP - Insights & Data in Information Technology at Capgemini (Information Technology & Services, 10,001+ employees)

Vetted Review

2 years of experience

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Integrated Customer Data for Triggered Target Audiences

Rating: 10 out of 10

Incentivized

October 8, 2021

Use Cases and Deployment Scope

Treasure Data is being used to create a unified customer view across first-party customer data, CRM data, e-commerce orders, web visitors, mobile app users, ad impressions, email activity, SMS activity, and social activity that is the basis for higher-performing targeted audiences and activations.

Pros

Catalog of existing integrations.
End-user friendly segment definitions and queries.
Predictive and cluster models.
High up-time and operations response times.

Cons

Unified customer reporting view.
Log details and operations debugging.

Likelihood to Recommend

Treasure Data is well suited to integrating multiple data sources, including online and digital sources. It is also well suited to trigger audience activations to known customers based on their online activity, integrating 3rd party data, and activating target audiences to ad platforms.

Paul Ernst

SVP, Martech Integration in Professional Services at Allant Group (Marketing & Advertising, 51-200 employees)

Vetted Review

3 years of experience

Great at insight mining, needs work on marketing use cases and reporting interfaces.

Rating: 8 out of 10

Incentivized

March 2, 2021

Use Cases and Deployment Scope

Treasure Data is being used as a secondary analytics solutions, principally driving following:
1. Unified view of audience
2. Segmentation and Marketing
3. Personalisation
4. Driving ML use cases

Pros

Unification.
Segmentation.
Data Manipulation.

Cons

Audience activation on Google platforms.
Audience creation can be made more intuitive in nature.

Likelihood to Recommend

Treasure Data is great for driving use cases that involve web or app personalization and some pilot initiatives
Marketers face a great deal of struggle using the tool for Remarketing since it’s not a real-time solution.

Udit Chitray

Product Manager in Product Management at AdGlobal360 (Marketing & Advertising, 201-500 employees)

Vetted Review

1 year of experience

Good tool, great potential

Rating: 5 out of 10

Incentivized

January 20, 2021

Use Cases and Deployment Scope

[Treasure Data] is a tool we are implementing for several of our big consumer goods clients. The biggest implementation has [Treasure Data] CDP sitting in the middle of the core architecture of the client's digital customer experience. It centralizes customer data and provides a full 360 degree view of all of their customers, enabling near real time segmentation and data access, providing at the same time a single version of the truth. It is a global solution with tailored particularities for local markets (including legal requirements).

Pros

Workflow editor - especially split function
Out of the box connectors
Audience studio - easy of use for non technical people
Nice UI
Integration with advanced features - python, spark

Cons

Documentation accessibility and documentation quality
Testing of new features rollout
Develops integration
Enable a setup for multi location and larger developer team

Likelihood to Recommend

Well suited: Customer 360, easy of access for non technical people (out of the box features), segmentation is quite powerful also, speed to market is impressive

Less appropriate:
For technical advanced features, another is required. Advanced processing like heavy algorithm for deduplication or fraud detection.

Verified User

Manager in Information Technology (Information Technology & Services company, 10,001+ employees)

Vetted Review

3 years of experience

Good platform to analyze data

Rating: 8 out of 10

Incentivized

December 25, 2020

Use Cases and Deployment Scope

I am part of a team that has been involved in the development of a customer data platform for an international consumer good producer.
The client has decided to adopt Treasure Data among other technologies. Using Treasure Data we are able to collect datapoints from different sources and rearrange/propagate them according to the datamodel designed by the business team.
The propagation of data is executed by scheduled workflows.
There exists a native segmentation tool, on top of this, it was necessary to develop workflows responsible to do deduplication of customer, housekeeping of datapoints, validation rules, data quality indexes etc.

Pros

Simple to set up and to use
Support is fully available
Cloud technology --> almost nothing is on prem

Cons

Documentation is not always fully update --> better off reaching to support for some topics that are not covered
Small bugs on the graphical user interface
If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one

Likelihood to Recommend

When there are many different data sources and the amount of data is huge and we need to create segments Treasure Data is the right tool as it has a growing list of connectors as well as it supports Hive
May not be the right tool to run simple python code --> not as easy as SQL code (Presto or Hive).

Verified User

Employee in Professional Services (Information Technology & Services company, 1001-5000 employees)

Vetted Review

1 year of experience

Great CDP and great customer support

Rating: 10 out of 10

Incentivized

July 30, 2020

Use Cases and Deployment Scope

We are using this across all of our marketing teams and improving the user experience throughout our domain. We have several domains and we need to integrate the cookies and identify user interest, whether we've had them before on our site, and then provide them with the best content possible.

Pros

Integration with Google
Unified ID for cookies across domain
Great costumer support

Cons

Integration with VMs from cloud services
Tracking without 3rd-party cookie
AppsFlyer integration with postback

Likelihood to Recommend

If you need to better identify your user/client you can definitively use Treasure Data to unify IT behavior and attributes in one canonical ID. Then, share it through your network in order to improve the content given to your user. Also Treasure Data has several native integrations that help build this data unification. This is a very expensive tool, and it would not be recommended for companies that are just starting. But it is a good goal to strive for, to have Treasure Data as your CDP.

Roberto Ribeiro Schor

Data Coordinator in Information Technology at ETUS Media (Marketing & Advertising, 51-200 employees)

Vetted Review

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Treasure Data: One of the Best in Customer Data Platforms

Rating: 9 out of 10

Incentivized

July 16, 2020

Use Cases and Deployment Scope

Treasure Data is being used by our client, which operates worldwide. It is being used by the IT department, the result of which is an increase in revenue for the whole organization. It helps the client in knowing their customer's behaviors and digitizing the consumer base, which they did not have any idea about previously. After integrating data from different systems and structuring them logically we have a 360-degree view of a consumer and her purchase behavior and history of the same. This gives immense insight to the client regarding their business decisions, thus impacting the business enormously.

Pros

Ability to integrate with numerous external systems along with cloud platform as a source or target providing the opportunity to deal with a variety of data.
Comprehensive support, which stands out
Segmentation and Predictive Scoring are unique capabilities of it, which makes it a better choice among similar products.
Customizable dashboard is an added feature.
Profile gives a 360-degree view around a chosen segmentation.

Cons

Enabling workflow name and project name change option on GUI on the existing workflow will make life easier.
Since it's a big data stack tool, better data volume handling and no memory leakage is expected.

Likelihood to Recommend

Treasure Data is well suited for consumer data analysis, which is one of the main objectives of a customer data platform. It's a great application for ETL with numerous options for data transformation. Its wide range of customizing options along with simple easy to navigate features make it a class apart.
Since Treasure Data is meant for CDP mainly, it's not suited for data warehouse build-up. It can store data, but trying to build a data warehouse will fetch a higher cost. It cannot store data in its own database with primary key defined unlike RDBMS.

Susmita Guha

Application Development Senior Analyst in Information Technology at Accenture (Information Technology & Services, 10,001+ employees)

Vetted Review

2 years of experience

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Great software for marketing

Rating: 7 out of 10

Incentivized

November 24, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Verified User

Manager in Marketing (Marketing & Advertising company, 201-500 employees)

Vetted Review

1 year of experience

Pretty good product overall

Rating: 7 out of 10

Incentivized

October 10, 2019

Use Cases and Deployment Scope

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.

Pros

Managed service
Scheduling queries feature is extremely useful
Fast Presto engine

Cons

Visibility and tracking into usage
Scale issue
Editor with multiple SQL tabs rather than having to have multiple chrome tabs open

Likelihood to Recommend

Small to medium sized businesses with lots of data and limited Data Eng capabilities in-house.

Verified User

Analyst in Engineering (Information Technology and Services company, 501-1000 employees)

Vetted Review

1 year of experience

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Treasure Data: One of the Best in Customer Data Platforms

Rating: 9 out of 10

Incentivized

July 16, 2020

Use Cases and Deployment Scope

Pros

Ability to integrate with numerous external systems along with cloud platform as a source or target providing the opportunity to deal with a variety of data.
Comprehensive support, which stands out
Segmentation and Predictive Scoring are unique capabilities of it, which makes it a better choice among similar products.
Customizable dashboard is an added feature.
Profile gives a 360-degree view around a chosen segmentation.

Cons

Enabling workflow name and project name change option on GUI on the existing workflow will make life easier.
Since it's a big data stack tool, better data volume handling and no memory leakage is expected.

Likelihood to Recommend

Susmita Guha

Application Development Senior Analyst in Information Technology at Accenture (Information Technology & Services, 10,001+ employees)

Vetted Review

2 years of experience

View profile