Treasure Data might be the right choice for the right environment.
Updated July 10, 2018

Treasure Data might be the right choice for the right environment.

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Treasure Data

Treasure Data 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 Treasure Data in the first place.
  • Treasure Data is excellent in integration with various software and services.
  • Implementation of the their SDK is also very easy.
  • Treasure Data SDK works well in our applications and does not crush.
  • Data management is very challenging with Treasure Data (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.
  • Treasure Data allowed us to start measuring metrics in our apps which we never been able to before.
  • I would say that at this point Treasure Data is most likely ROI positive, although we haven't done extensive analysis.
  • We schedule a lot of our data aggregation in Treasure Data and push the data to MS SQL for faster analysis and visualizations.
  • We are looking into utilizing Treasure Data's API to do two-way communication and data passing.
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.
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.

Using Treasure Data

5 - Three DA's, one BI Engineering, and a Director - All Data Analytics.
1 - BI Engineering (DBA)
  • Ad Hoc Queries
  • Aggregation of Daily KPIs
  • Integration with various other tools
  • Two-way communication with Treasure Data's API

Evaluating Treasure Data and Competitors

Yes - Replaced Flurry Analytics
  • Price
  • Product Features
  • Product Usability
No, I think Treasure Data is what we need.

Treasure Data Implementation

Implementation was quick and our developers had very few issues with the SDK.
Change management was a small part of the implementation and was well-handled
  • Naming conventions in the mobile SDK were not followed, so column names in the tables can be different across games.

Treasure Data Training

Documentation is excellent, so learning without training is not a problem.

Treasure Data Support

Support is very fast via live chat and email.
ProsCons
Quick Resolution
Good followup
Knowledgeable team
Problems get solved
Kept well informed
No escalation required
Support cares about my success
Quick Initial Response
Need to explain problems multiple times
My queries ran out of memory, support helped me optimize my Presto SQL to run my queries.

Using Treasure Data

I like Treasure Data's UI, it's clean and very useable.
ProsCons
Like to use
Relatively simple
Easy to use
Well integrated
Quick to learn
Feel confident using
Requires technical support
Lots to learn
  • Running AdHoc Presto queries on relatively small data sets.
  • Scheduling queries and workflows are very easy.
  • Running Hive queries on very large data sets.