Compare Apache Spark vs. JethroData

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Apache Spark Logo
11,164 views|9,340 comparisons
JethroData Logo
842 views|702 comparisons
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431,670 professionals have used our research since 2012.
out of 26 in Hadoop
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out of 8 in BI on Hadoop
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Compared 35% of the time.
Compared 7% of the time.
Compared 6% of the time.
Compared 6% of the time.
Compared 10% of the time.

Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

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
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab,, Baidu, Alibaba Taobao, EURECOM, Hitachi SolutionsAvis, Tata Communications, Fiat Chrysler, BICS, Symphony Health, iBasis, Data Realty, Fortune 100 Bank, Large Big Box US Retailer
Top Industries
Financial Services Firm29%
Computer Software Company29%
Healthcare Company14%
Marketing Services Firm14%
Computer Software Company37%
Media Company14%
Comms Service Provider11%
Financial Services Firm5%
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Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: July 2020.
431,670 professionals have used our research since 2012.
Apache Spark is ranked 1st in Hadoop with 11 reviews while JethroData is ranked 4th in BI on Hadoop. Apache Spark is rated 8.2, while JethroData is rated 0. The top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". On the other hand, Apache Spark is most compared with Spring Boot, Azure Stream Analytics, SAP HANA, AWS Lambda and AWS Batch, whereas JethroData is most compared with AtScale Adaptive Analytics (A3) and Datameer.

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