TrustRadius
Treasure your data
https://www.trustradius.com/customer-data-platform-cdpArm Treasure DataUnspecified8.397101
Vinaybabu Raghunandha Naidu profile photo
September 11, 2017

Treasure your data

Score 8 out of 101
Vetted Review
Verified User
Review Source

Overall Satisfaction with Treasure Data

Treasure Data solves the most challenging connectivity problems between data acquisition and data formatting to relational databases. It is not just limited to cloud analytics but even more. Some of the best features that are really helpful for a data engineer like me is to reuse the results rather than re-execute. Treasure Data provides an option of a persist job_id for each query and retrieve the results within the 90 days using a unique job_id. It is used all over the organization including the developers, analysts and business users. Storage of data in Treasure Data is flexible which has a metadata to define. This helps to scale and accommodate the changing needs.
  • Unique Job_id to persist results for a duration of 90 days.
  • Metadata driven data structure to store importing data.
  • Multiple Analytical engines to process the query based on the performance and need.
  • Automated deletion of unwanted data by using an expiration configuration. This reduces the maintenance and monitoring of tables.
  • Persist required job_id for more than 90 days
  • More client APIs to ease the developers
  • Good in computing but lot of scope for improvements in performance tuning
  • Treasure Data works 24/7 which is most reliable
  • Console to execute the queries
  • Edit the queries when running
  • Wish being a data driven company - relies on Treasure data to a greater extent.
  • Used in all the analytics, report creations and to power dashboards.
  • Rolling window option to maintain 150 days worth of data in most of the tables
  • Power dashboards like Looker and generate daily and monthly reports
  • Can be triggered and retrieved from anywhere.
Wish heavily depends on Treasure data to store the data. All the critical tables are stored in Treasure Data and reports are generated on top of it.
Apart from that machine learning data generation is done in Treasure Data.
Best suited: Get historical computed results to the code using job_id.
Less suited: Real time computation and processing

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