Treasure Data Enables Your Data Driven Org
September 28, 2017

Treasure Data Enables Your Data Driven Org

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Treasure Data

Treasure Data is being used across the organization by analytics, engineering, and product management, with Analytics being the main user group. We use Treasure Data to query large data sets and complicated queries. Because Treasure Data can handle these much better than our current solution via parallel processing and table chunking.
  • Very fast querying engine
  • Easy for analysts to create their own customized tables with auto updates
  • Can easily integrate with our BI tools
  • Easier to access and start working on data
  • Web based application so any device can access with credentials
  • Keeping records of all queries ran
  • Great customer support
  • Presto syntax takes a little to get used to
  • Some UDF takes time to get used to
  • Smaller queries takes slightly longer than traditional SQL
  • UIUX could improve. Make it easier for users to start new query, find jobs ran, etc.
  • More efficient analytical work so we can get more done with less time
  • Initially there was a few months of ramping up time. So took longer to perform each task. But was worth it looking at the positives now.
  • Using window functions to do serial and indexing analysis
  • Create custom cron jobs for commonly used data operations
  • Using Treasure Data to update and run current cron jobs to ease up internal server load
It's appropriate when processing very large data sets. More than an order of tens of millions of records. Especially complicated operations with many different joins and conditions.

It's not appropriate if you want to do table exploration. With small data sets and simple queries, traditional SQL workbench would do the job faster.