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No more data silos!
September 01, 2017

No more data silos!

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

Overall Satisfaction with Treasure Data

Treasure Data is used mainly by Data Team, which is under Engineering Department. However, analysts from other team could get access to Treasure Data too, in case their use cases require data ingestion, data integration, etc. Treasure Data helps us a lot on data integration tasks, which includes data warehouse and data mart creations, also other ad-hoc analysis.
  • Lots of third party connectors
  • No need to configure the machine
  • Responsive supports
  • R connector
  • More customizable Treasure Workflow configuration
  • No versioning on query changes, it's hard to identify who changes it, and which lines are changed
  • It helps us enabling some key metrics of our business
  • It enables us to decrease data silos between each department
  • Our team create internal control center with GUI, in order to ease the analysts on configuring data connectors to Treasure Data
I am not the one who evaluated each product candidates, but these are the reasons I know:
- Treasure Data has more third party data connectors
- it can be connected to some BI Tools (e.g. Redash, Domo)
- its starting capacity is 1 billion events
Currently I think Treasure Data is good at providing analysis of historical datasets. We rely on Presto and Hive jobs on daily data processing, which enables us giving insight to the business users on daily basis. Our team haven't really assessed its capability for real time scenario, but it doesn't seem possible since the time lag for ingestion time shouldn't be too frequent - it will burden the workers.