Databricks vs Facebook Analytics

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

Databricks

252
415
+ 1
8
Facebook Analytics

89
43
+ 1
0
Add tool

Databricks vs Facebook Analytics: What are the differences?

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; Facebook Analytics: Measure behavior across your owned channels and discover valuable insights. Get a deeper understanding of where and how people interact with your business across your website, app, Facebook Page and more. You can visualise people's progress to conversion through their actions across your Page and website, mobile and desktop, and more.

Databricks and Facebook Analytics can be primarily classified as "General Analytics" tools.

ZabCab, Behind Digital, and myCrew are some of the popular companies that use Facebook Analytics, whereas Databricks is used by Auto Trader, Snowplow Analytics, and Fairygodboss. Facebook Analytics has a broader approval, being mentioned in 8 company stacks & 7 developers stacks; compared to Databricks, which is listed in 7 company stacks and 4 developer stacks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Databricks
Pros of Facebook Analytics
  • 1
    Best Performances on large datasets
  • 1
    True lakehouse architecture
  • 1
    Scalability
  • 1
    Databricks doesn't get access to your data
  • 1
    Usage Based Billing
  • 1
    Security
  • 1
    Data stays in your cloud account
  • 1
    Multicloud
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Sign up to add or upvote consMake informed product decisions

    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 Facebook Analytics?

    Get a deeper understanding of where and how people interact with your business across your website, app, Facebook Page and more. You can visualise people's progress to conversion through their actions across your Page and website, mobile and desktop, and more.

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

    What companies use Databricks?
    What companies use Facebook Analytics?
    See which teams inside your own company are using Databricks or Facebook Analytics.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Databricks?
    What tools integrate with Facebook Analytics?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Databricks and Facebook Analytics?
    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