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Apache Spark vs. Databricks Data Intelligence Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Spark

    Score9.2 out of 10
    N/AApache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.N/A

    Databricks Data Intelligence Platform

    Score8.4 out of 10
    N/ADatabricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…

    $0.07

    Per DBU

    Pricing
    Apache SparkDatabricks Data Intelligence Platform
    Editions & Modules
    No answers on this topic
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Offerings
    Pricing Offerings
    Apache SparkDatabricks Data Intelligence Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Apache SparkDatabricks Data Intelligence Platform
    Considered Both Products
    Apache
    Chose Apache Spark
    • Apache Spark works in distributed mode using cluster
    • Informatica and Datastage cannot scale horizontally
    • We can write custom code in spark, whereas in Datastage and Informatica we can only choose the different features proivided already.
    Incentivized
    Chose Apache Spark
    Databricks uses Spark as a foundation, and is also a great platform. It does bring several add-ons, which we did not feel needed by the time we evaluated - and haven't needed since then. One interesting plus in our opinion was the engineering support, which is great depending …
    Incentivized
    Databricks
    Chose Databricks Data Intelligence Platform
    The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when …
    Incentivized
    Chose Databricks Data Intelligence Platform
    Databricks was picked among other competitors. Closest competition in our organization was H2O.ai and Databricks came out to be more useful for ROI and time to market in our internal research.
    We could have used AWS products, however Databricks notebooks and ability to launch …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    User Ratings
    Apache SparkDatabricks Data Intelligence Platform
    Likelihood to Recommend
    9.0
    (24 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (4 ratings)
    10.0
    (4 ratings)
    Support Rating
    8.7
    (4 ratings)
    8.7
    (2 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)