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A Great Way to Kickstart Data Engineering and Analytics
July 13, 2018

A Great Way to Kickstart Data Engineering and Analytics

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

Overall Satisfaction with Treasure Data

We use Treasure Data to collect and transform data from multiple sources for the purpose of product analytics.
  • Great library of connectors
  • Workflow engine is simple, but in a good way
  • Presto query performance is very good
  • Support is very good, especially with live chat
  • Presto support is missing key types making it surprisingly verbose to do this as you need to cast things back and forth
  • Lack of support for deploying our own connectors
  • Cannot write Ruby or Python code in workflows
  • We were able to create a true product analytics capability in record time
  • We we able to democratise product analytics by exposing it in our BI tools and in Salesforce thanks to Treasure Data
  • Send product metrics to Salesforce
  • Centralised digital analytics using Treasure Data Javascript SDK, then syndicate to other tools like Amplitude
  • As a data warehouse using Presto
Best balance of price, data collection, query engine, workflow engine and especially data output to targets other than data warehouses.

Sisense is a great BI tool, and is not truly a replacement for a tool like Treasure Data, but if you want to do ETL in your BI tool and your needs are basic, Sisense could theoretically replace Treasure Data.

When we were evaluating, Astronomer was promising, but too early in its lifecycle. If you like Airflow, it could be a good fit, but Treasure Data's Digdag workflow engine is a great starting point for DAG based ETL.


If you are a mid-size company with disparate data sources and you want to build a data lake and/or data warehouse, Treasure Data may be a good fit. If you want to syndicate data to other data sources, when supported by Treasure Data, beyond a data warehouse, such as to Salesforce or Amplitude, Treasure Data is also a great fit.

For most of your data collection and analytical needs, Treasure Data is a great stack.

If you have very complex privacy requirements, esoteric data stores or have a capable and unconstrained infrastructure team, a better path may be to build instead of buy in this space.