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9.4

Spot Score

Arm Treasure Data - Customer Data Platform (CDP)

Arm Treasure Data Reviews in June 2026: User Ratings, Pros & Cons

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4.4

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Arm Treasure Data offers custom pricing plan

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Arm Treasure Data Reviews & Ratings

4.4

Very Good

Based on 208 ratings & 39 reviews

Rating Distribution

Excellent

(27)

Very Good

(10)

Good

(1)

Poor

(1)

Terible

(0)

Spotsaas Editor’s POV

Arm Treasure Data provides a powerful platform for turning raw customer data into actionable insights. Its automated data extraction capabilities make it a strong choice for businesses looking to streamline their analytics.Read more

Arm Treasure Data pros and cons

  • Automated data extraction

  • Prebuilt analytical models

  • User-friendly interface

  • Scalable solution

  • Requires technical expertise

  • Limited customization

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Showing 31-39 out of 39

AI

Administrator in Venture Capital & Private Equity

09/07/17

4.5 out of 5

CTO/CIO Private Equity

What do you like best? The main reason we looked into Treasure Data was it's ability to handle extremely large amounts of data well. After speaking with their head of engineering and architecture, I was amazing as to how much knowledge they had regarding the technical capabilities of the TD system. What do you dislike? At this time, the only thing that we wish we could have with TD is more flexibility with AWS. What problems are you solving with the product? What benefits have you ...

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UI

User in Computer Games

09/07/17

2.5 out of 5

Decent out of the box solution, but benefits degrade as table size grows

What do you like best? The ease of set-up and how the data flows in almost live. What do you dislike? Querying data on large table takes forever, plus everything flows into one table, which expands indefinitely and data cannot be archived or table shrunk in any way. Recommendations to others considering the product: Decent for companies with small to medium data tables. What problems are you solving with the product? What benefits have you realized? Getting event level ...

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MH

Max H

09/07/17

5 out of 5

Awesome querying tool for tecg

What do you like best? Very fast querying large datasets. TD utilizes their unique time parsing of tables to achieve this. What do you dislike? Some of the user defined functions are fairly different, especially the date parsing and date operation functions. These might take a little effort to get used to. What problems are you solving with the product? What benefits have you realized? We have done a lot of user path analysis and event sequence analysis that we're impossible to ...

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AI

Administrator in Internet

09/07/17

4.5 out of 5

Great technology to get an ETL pipeline up and running quickly

What do you like best? The flexibility and power of the platform What do you dislike? Ease of misuse if used improperly. Its easy to clog your job queue if you are using up your workers on calculation queries rather than exporting the raw to your warehouse and querying it there. Still trying to retrain team-members on this concept >.< Recommendations to others considering the product: TD is best used an ETL pipeline not a scheduled query interface. Export results to a ...

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UI

User in Computer Software

09/07/17

4.5 out of 5

Great Service

What do you like best? Abstracts out all the complexities of maintaining a data warehouse and makes it easy for any developer to conduct data analysis. What do you dislike? Queries can sometimes be too slow, and sometimes there is lack of transparency about issues going on that may result in slow performance. What problems are you solving with the product? What benefits have you realized? We use it as a data warehouse for all of our data needs such as product feature analysis. ...

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MG

Mike G

09/07/17

4 out of 5

Implemented A Data Lake Repository On The Treasure Data Platform

What do you like best? Very easy to get up to speed on the platform, the web interface was simple and easy to use and we were quickly able to leverage our teams existing SQL based skill set without having to know a ton about the underlying HDFS based platform Treasure Data sits on top of. Speed of development was great and built-in connectors for various cloud data sources and destinations were excellent. The ability to write directly to data sets for Tableau Online was a nice feature. ...

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MT

Michael T. S

09/07/17

4 out of 5

Treasure Data provides a great service for startups with lots of data and analytical needs.

What do you like best? Having a SaaS distributed analytic engine like Presto available for an affordable price. What do you dislike? Sometimes the interface can be a bit confusing. The user roles system is a bit messy. Recommendations to others considering the product: Ensure you understand how their data structures work and that they align with your needs. What problems are you solving with the product? What benefits have you realized? We have many disparate data sources ...

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AI

Administrator in Hospitality

08/29/17

4 out of 5

Treasuring your data without much hassle

What do you like best? Data ingestion setup can be done by the analysts themselves without troubling the engineers too much. It forms independent data analysts and fasten our project timeline. Having knowledge on SQL query is sufficient to create ETL job, and it doesn't require steep learning curve. What do you dislike? We still find inconvenience on implementing Treasure Workflow, since at the time we assessed it, we could not define the session schedule time parameter on the ...

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MP

Michael P

08/29/17

5 out of 5

Easy access to cloud data

What do you like best? Simple, easy to ingest, access, and distribute data. Tasks that would take multiple engineers have been condensed into one, easy to use service. On top of that, support has been amazing in the 2 years we've been using Treasure Data. What do you dislike? Not all third parties are supported, for both ingestion and output. Not a deal-breaker and the TD has been receptive to feedback. What problems are you solving with the product? What benefits have you ...

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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].