Compare Confluent vs. Databricks

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Confluent Logo
4,309 views|4,011 comparisons
Databricks Logo
19,582 views|16,754 comparisons
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Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: November 2020.
448,076 professionals have used our research since 2012.
Quotes From Members

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Pricing and Cost Advice
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"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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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.
Ranking
7th
out of 30 in Streaming Analytics
Views
4,309
Comparisons
4,011
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
1st
out of 30 in Streaming Analytics
Views
19,582
Comparisons
16,754
Reviews
15
Average Words per Review
580
Avg. Rating
8.1
Popular Comparisons
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Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
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Confluent
Databricks
Overview

Confluent Platform is the complete streaming platform for large-scale distributed environments. Unlike a traditional messaging system or stream processing API, Confluent Enterprise enables all of your interfaces to the world to be connected to and make decisions with all of your internal systems in real time.

Confluent and partner vendors offer tested and secure connectors for many popular data systems. Connectors make it quick and easy to start setting up reliable data pipelines.

Our connectors are all fully integrated with the platform, namely the schema registry.

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 Confluent
Learn more about Databricks
Sample Customers
ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, ChartboostElsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Media Company15%
Comms Service Provider15%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider12%
Media Company9%
Government5%
Company Size
No Data Available
REVIEWERS
Small Business7%
Midsize Enterprise27%
Large Enterprise67%
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: November 2020.
448,076 professionals have used our research since 2012.

Confluent is ranked 7th in Streaming Analytics while Databricks is ranked 1st in Streaming Analytics with 15 reviews. Confluent is rated 0.0, while Databricks is rated 8.0. 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". Confluent is most compared with Amazon MSK, IBM Streams, PubSub+ Event Broker, Mule Anypoint Platform and Striim, whereas Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.