Compare Apache Spark Streaming vs. Databricks

Apache Spark Streaming is ranked 10th in Streaming Analytics while Databricks is ranked 1st in Streaming Analytics with 9 reviews. Apache Spark Streaming is rated 0, while Databricks is rated 8.2. On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics and Spring Cloud Data Flow, whereas Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and Cloudera Data Science Workbench.
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Apache Spark Streaming Logo
1,192 views|1,147 comparisons
Databricks Logo
11,475 views|10,245 comparisons
Most Helpful Review
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Quotes From Members

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Pricing and Cost Advice
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Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.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.

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Ranking
10th
out of 28 in Streaming Analytics
Views
1,192
Comparisons
1,147
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
1st
out of 28 in Streaming Analytics
Views
11,475
Comparisons
10,245
Reviews
9
Average Words per Review
648
Avg. Rating
8.2
Top Comparisons
Compared 18% of the time.
Also Known As
Spark StreamingDatabricks Unified Analytics, Databricks Unified Analytics Platform
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Apache
Databricks
Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

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.

Offer
Learn more about Apache Spark Streaming
Learn more about Databricks
Sample Customers
Information Not Available
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Software R&D Company48%
Media Company13%
Retailer11%
Comms Service Provider6%
VISITORS READING REVIEWS
Software R&D Company44%
Media Company10%
Comms Service Provider5%
Government5%
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