Compare Databricks vs. WPS Analytics

Databricks is ranked 5th in Data Science Platforms with 6 reviews while WPS Analytics is ranked 26th in Data Science Platforms. Databricks is rated 8.6, while WPS Analytics is rated 0. The top reviewer of Databricks writes "Good build-in optimization, easy to use with a good user interface". On the other hand, Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and Cloudera Data Science Workbench, whereas WPS Analytics is most compared with Analance, Alteryx and Databricks.
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Databricks Logo
8,640 views|7,868 comparisons
WPS Analytics Logo
161 views|118 comparisons
Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.

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390,510 professionals have used our research since 2012.
Ranking
5th
Views
8,640
Comparisons
7,868
Reviews
5
Average Words per Review
567
Avg. Rating
8.6
26th
Views
161
Comparisons
118
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 19% of the time.
Compared 51% of the time.
Compared 31% of the time.
Compared 18% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics PlatformWorld Programming System, WPS
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Databricks
World Programming
Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.

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Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
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Top Industries
VISITORS READING REVIEWS
Software R&D Company40%
Media Company9%
Comms Service Provider7%
Government7%
No Data Available
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
390,510 professionals have used our research since 2012.
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