Compare Databricks vs. WSO2 Stream Processor

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18,728 views|16,063 comparisons
WSO2 Stream Processor Logo
458 views|411 comparisons
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Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: November 2020.
447,439 professionals have used our research since 2012.
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
"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.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""The pricing depends on the usage itself."

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Questions from the Community
Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
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Ranking
1st
out of 30 in Streaming Analytics
Views
18,728
Comparisons
16,063
Reviews
14
Average Words per Review
587
Avg. Rating
8.1
17th
out of 30 in Streaming Analytics
Views
458
Comparisons
411
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 14% of the time.
Compared 8% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
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Databricks
WSO2
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.

WSO2 Stream Processor is an open source, cloud native and lightweight stream processing platform that understands streaming SQL queries in order to capture, analyze, process and act on events in real time. This facilitates real-time streaming analytics and streaming data integration. With the product’s powerful streaming SQL, simple deployment, and ability to adapt to changes rapidly, enterprises can go to market faster and achieve greater ROI. Unlike other offerings, it provides a simple two-node deployment for high availability and scales beyond with its distributed deployment to cater to extremely high workloads.

Offer
Learn more about Databricks
Learn more about WSO2 Stream Processor
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, YeswareTransport for London
Top Industries
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider12%
Media Company9%
Government5%
No Data Available
Company Size
REVIEWERS
Small Business7%
Midsize Enterprise27%
Large Enterprise67%
No Data Available
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: November 2020.
447,439 professionals have used our research since 2012.
Databricks is ranked 1st in Streaming Analytics with 15 reviews while WSO2 Stream Processor is ranked 17th in Streaming Analytics. Databricks is rated 8.0, while WSO2 Stream Processor is rated 0.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas WSO2 Stream Processor is most compared with Apache Flink and Cloudera DataFlow.

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