Databricks vs Snowflake

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Databricks

252
415
+ 1
8
Snowflake

561
684
+ 1
15
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Databricks vs Snowflake: What are the differences?

Developers describe Databricks as "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. On the other hand, Snowflake is detailed as "The data warehouse built for the cloud". 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.

Databricks and Snowflake are primarily classified as "General Analytics" and "Big Data as a Service" tools respectively.

Instacart, Auto Trader, and SoFi are some of the popular companies that use Snowflake, whereas Databricks is used by Auto Trader, Snowplow Analytics, and Fairygodboss. Snowflake has a broader approval, being mentioned in 40 company stacks & 45 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 Snowflake
  • 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
  • 3
    Good Performance
  • 2
    Multicloud
  • 2
    Serverless
  • 2
    Great Documentation
  • 2
    Public and Private Data Sharing
  • 1
    Economical
  • 1
    User Friendly
  • 1
    Innovative
  • 1
    Usage based billing

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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 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.

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What companies use Databricks?
What companies use Snowflake?
See which teams inside your own company are using Databricks or Snowflake.
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What tools integrate with Databricks?
What tools integrate with Snowflake?

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Blog Posts

Jul 2 2019 at 9:34PM

Segment

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What are some alternatives to Databricks and Snowflake?
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.
Azure HDInsight
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
See all alternatives