Treasure Data is great for budding data teams.
July 15, 2019

Treasure Data is great for budding data teams.

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

Overall Satisfaction with Treasure Data

Treasure Data is used as our production data warehouse. We also use Redshift, but are increasingly moving away from that - our cleansed, production datasets primarily exist within Treasure Data.
Treasure Data provides transparent access to data for auditors, which has been a huge business problem it's addressed. We can present specific schemas to auditors to monitor, and track all of their queries easily.
  • Excellent console interface.
  • Incredibly fast processing, and simple ability to shift between Hive and Spark.
  • Simple workflows - easy to understand and use.
  • Workflows could be more expansive - Python capability, for example.
  • Data visualization would be incredibly powerful.
  • Being able to merge directly to datasets outside of TD would be powerful.
  • Treasure Data has provided the value of a full data engineer for half the cost.
  • Treasure Data has improved our analysts capabilities by a multiple of two.
  • Treasure Data has provided ease of data access.
Internal processes have greatly improved as a result of implementing Treasure Data. We have become more data-driven as a result of the greater data transparency that Treasure Data provides. Specifically, Treasure Data has been invaluable as a tool for providing simple permissions to external auditors who need access to our data.
  • As a tool for providing greater transparency.
  • As a data processing engine - we perform much of our back end processing for data applications in Treasure Data.
  • As an audit tool - TD query logs are very useful for this.
Redshift does not have a simple web console interface for us to use. However, one area where Redshift shines and Treasure Data does not is in its pricing model. Auto-scaling is a great feature in Redshift, whereas the Presto-hours business model can be somewhat limiting at times. On the flip side, auto-scaling can ramp up costs if an unsophisticated user writes a bad query. So there are tradeoffs to both.
Treasure Data is well suited to providing multiple users with a console interface that abstracts away messy connection details. Not having to worry about how to connect to Treasure Data has been a lifesaver - it's a major point that separates it from Redshift, especially for less technical users. Furthermore, it removes the need to install any excess software. It's a great way to have a data warehouse stood up quickly that's easy to access.