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Databricks vs Spring Cloud Data Flow comparison

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30,779 views|25,469 comparisons
Spring Cloud Data Flow Logo
7,279 views|5,737 comparisons
Featured Review
Find out what your peers are saying about Databricks vs. Spring Cloud Data Flow and other solutions. Updated: January 2022.
563,327 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:
Pros
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows.""The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.""It's great technology.""I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job.""It can send out large data amounts.""Ability to work collaboratively without having to worry about the infrastructure.""Databricks is a scalable solution. It is the largest advantage of the solution.""Databricks gives you the flexibility of using several programming languages independently or in combination to build models."

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"The most valuable feature is real-time streaming.""There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

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Cons
"There are no direct connectors — they are very limited.""The integration of data could be a bit better.""Would be helpful to have additional licensing options.""Implementation of Databricks is still very code heavy.""There should be better integration with other platforms.""Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively.""Pricing is one of the things that could be improved.""The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."

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"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation.""Some of the features, like the monitoring tools, are not very mature and are still evolving."

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Pricing and Cost Advice
  • "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."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • "There are different versions."
  • "The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
  • More Databricks Pricing and Cost Advice →

  • "This is an open-source product that can be used free of charge."
  • More Spring Cloud Data Flow Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer: 
    We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer: 
    Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer: 
    Hi @Mohammad Masudu Rahaman, @Saket Puranik, @MahmoudAbu-Ghali and @Fabio Ferri, Can you chime in here to share your experience and expertise?​
    Ranking
    1st
    out of 38 in Streaming Analytics
    Views
    30,779
    Comparisons
    25,469
    Reviews
    22
    Average Words per Review
    531
    Rating
    7.9
    7th
    out of 38 in Streaming Analytics
    Views
    7,279
    Comparisons
    5,737
    Reviews
    2
    Average Words per Review
    1,101
    Rating
    8.0
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    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.

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Offer
    Learn more about Databricks
    Learn more about Spring Cloud Data Flow
    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Information Not Available
    Top Industries
    REVIEWERS
    Financial Services Firm15%
    Computer Software Company15%
    Mining And Metals Company15%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm8%
    Government5%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider14%
    Financial Services Firm14%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business11%
    Midsize Enterprise18%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise19%
    Large Enterprise56%
    No Data Available
    Find out what your peers are saying about Databricks vs. Spring Cloud Data Flow and other solutions. Updated: January 2022.
    563,327 professionals have used our research since 2012.

    Databricks is ranked 1st in Streaming Analytics with 22 reviews while Spring Cloud Data Flow is ranked 7th in Streaming Analytics with 2 reviews. Databricks is rated 7.8, while Spring Cloud Data Flow is rated 8.0. 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, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Mule Anypoint Platform and Cloudera DataFlow. See our Databricks vs. Spring Cloud Data Flow report.

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    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.