Compare AtScale vs. JethroData

AtScale is ranked 1st in BI on Hadoop with 1 review while JethroData is ranked 4th in BI on Hadoop. AtScale is rated 5.0, while JethroData is rated 0. The top reviewer of AtScale writes "The GUI interface is nice and easy to use, but the organization of the icons is not saved across users". On the other hand, AtScale is most compared with JethroData, Datameer and Arcadia Data, whereas JethroData is most compared with AtScale, Apache Spark and Splice Machine.
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AtScale Logo
3,396 views|1,889 comparisons
JethroData Logo
1,590 views|1,302 comparisons
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Ranking
1st
out of 8 in BI on Hadoop
Views
3,396
Comparisons
1,889
Reviews
1
Average Words per Review
166
Avg. Rating
5.0
4th
out of 8 in BI on Hadoop
Views
1,590
Comparisons
1,302
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 44% of the time.
Compared 25% of the time.
Compared 13% of the time.
Compared 80% of the time.
Compared 7% of the time.
Compared 7% of the time.
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AtScale
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JethroData
Overview

With AtScale, you can query data in-place where it lands in your Big Data Lake or Hadoop cluster, without additional data movement, but with OLAP and your BI tool of choice.

Drive Hadoop adoption for your business

With AtScale, I.T. can give business analysts to direct and efficient access the valuable data in your Hadoop or other Data Lake, all while preserving the control, security, and responsiveness of your existing big data platform.

  • Dynamic Cubes ensure consistency and control
  • Support for any Hadoop distribution
  • Smart Aggregations dramatically increase query throughput
  • Support for SQL or MDX over ODBC, JDBC, or OLE DB
  • Zero-footprint install + no data movement = reduced complexity

Simplify Big Data access for BI users

AtScale turns your Big Data Lake or Hadoop cluster into scaled-out analytical server. Now you can use your BI tool of choice – from Tableau to Microstrategy to Microsoft Excel – to connect directly and query data in Hadoop or other Data Lake, with speed, security and simplicity. 

  • Virtual cubes present complex data as simple hierarchies measures and dimensions
  • Works with virtually any BI tool that can talk SQL or MDX
  • Analyze billions of rows of data directly on your Hadoop cluster
  • Eliminate need for costly data marts, extracts, and custom cubes
  • Consistent data definitions across all BI tools mean consistent answers across users
Jethro is a performance acceleration engine that delivers interactive Business Intelligence (BI) on Big Data at Hadoop costs. Jethro accelerates Big Data performance with Tableau, Qlik, MicroStrategy as well as in-house BI applications. - Interactive Performance: Jethro delivers response in seconds on 10s of billions of rows—on any SQL query - High Concurrency: 1,000s of concurrent users can access the same data without impacting performance. - No Data Engineering: Jethro automatically handles all of the costly, ineffective and endless data engineering Jethro is data source agnostic and is compatible with any Hadoop distribution, AWS, EFS, Azure and almost any other data source.
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Sample Customers
Cloudera, Wargaming, eBates, AltiScaleAvis, Tata Communications, Fiat Chrysler, BICS, Symphony Health, iBasis, Data Realty, Fortune 100 Bank, Large Big Box US Retailer
We monitor all BI on Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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