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Treasure Data Review
May 17, 2019

Treasure Data Review

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

Overall Satisfaction with Treasure Data

We use Treasure Data (TD) for both data warehousing and data analytics. TD is the central repository for most data due to its scalability. We make use of Treasure Data for a lot of use cases, ranging from creating ML models, BI reports to A/B test tracking.
  • Run big data jobs
  • Storing large amounts of data
  • Some User-Defined functions are extremely helpful
  • Tables only indexed on time
  • No inequality JOINs
  • Positive: Storage is usually not a big concern due to the scalability
  • Positive: Large jobs can be executed in a predictable manner
  • Negative: Ad-hoc data is more time-consuming than other DBs
  • Feature store for ML Models
Different use cases for the other products, but TD handles analytics workloads better than the other products.
TD is well suited for operating on large sets of data. The User-Defined Functions (UDFs) help with log-type tables.

On the other hand, TD does not do well with tables that require row updates. TD is also not ideal for looking at very long time ranges, since you cannot optimize queries other than on the time index.