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.
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.
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
- Implemented in-house
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
- Self-taught
Documentation is excellent, so learning without training is not a problem.
Treasure Data Support
Pros | Cons |
---|---|
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
Pros | Cons |
---|---|
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.