Databricks vs PowerBI

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Databricks

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PowerBI

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Databricks vs PowerBI: What are the differences?

What is Databricks? A unified analytics platform, powered by Apache Spark. Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

What is PowerBI? It is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Databricks and PowerBI belong to "General Analytics" category of the tech stack.

Making Waves, GameDuell, and Cimri are some of the popular companies that use PowerBI, whereas Databricks is used by Auto Trader, Snowplow Analytics, and Fairygodboss. PowerBI has a broader approval, being mentioned in 20 company stacks & 8 developers stacks; compared to Databricks, which is listed in 7 company stacks and 4 developer stacks.

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Pros of Databricks
Pros of PowerBI
  • 1
    Best Performances on large datasets
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    True lakehouse architecture
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    Scalability
  • 1
    Databricks doesn't get access to your data
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    Usage Based Billing
  • 1
    Security
  • 1
    Data stays in your cloud account
  • 1
    Multicloud
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    What is Databricks?

    Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

    What is PowerBI?

    It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Databricks?
    What companies use PowerBI?
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    What tools integrate with Databricks?
    What tools integrate with PowerBI?

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    What are some alternatives to Databricks and PowerBI?
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    Azure Databricks
    Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
    Domino
    Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.
    Confluent
    It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    See all alternatives