Compare Outerthought Lily vs. Spark SQL

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Outerthought Lily Logo
28 views|16 comparisons
Spark SQL Logo
662 views|286 comparisons
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"The solution is open-sourced and free."

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Top Answer: It is a stable solution.
Top Answer: Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't… more »
Top Answer: We use it to gather all the transaction data. We have Hadoop and Spark in our system, and we use some easy process flows for transport.
Ranking
19th
out of 22 in Hadoop
Views
28
Comparisons
16
Reviews
0
Average Words per Review
0
Rating
N/A
4th
out of 22 in Hadoop
Views
662
Comparisons
286
Reviews
5
Average Words per Review
297
Rating
7.0
Comparisons
Also Known As
Lily
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Outerthought
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Overview
Lily Enterprise sits on top of the Cloudera or Hortonworks Hadoop platforms, and considers the entire Hadoop stack and all data streams, including data warehouses, data lakes, CRM systems, mobile/online or social media activities, contact center applications and POS systems. Lily combines them into one cumulative, organized and actionable solution, and delivers real-time execution of predictive analytical models to help create individual customer profiles, Lily Customer DNA, to give organizations the most accurate, atomic-level view of their customers.
Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers can easily switch back and forth between different APIs based on which provides the most natural way to express a given transformation.
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Sample Customers
ING, Orange, France Telecom, Alpha Credit, Turkcell, Eni, Zain Group, AXA, Rogers, Toyota, Belfius
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider25%
Financial Services Firm8%
Healthcare Company6%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
535,544 professionals have used our research since 2012.

Outerthought Lily is ranked 19th in Hadoop while Spark SQL is ranked 4th in Hadoop with 5 reviews. Outerthought Lily is rated 0.0, while Spark SQL is rated 7.0. On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Outerthought Lily is most compared with , whereas Spark SQL is most compared with IBM Db2 Big SQL, Amazon EMR, Apache Spark, Informatica Big Data Parser and Netezza Analytics.

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