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Databricks

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TileDB vs Databricks: What are the differences?

What is TileDB? The serverless universal data engine for any data, any tool. TileDB offers a data engine that makes data management and compute fast, easy and universal. Manage, store, share and analyze any kind of data (not just tables) with any computational tool (not just SQL) at extreme scale.

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.

TileDB belongs to "Databases" category of the tech stack, while Databricks can be primarily classified under "General Analytics".

Some of the features offered by TileDB are:

  • An open-source, open-spec cloud-native storage engine and universal format based on multi-dimensional arrays
  • Support for multiple backends
  • Data versioning and updates built-in

On the other hand, Databricks provides the following key features:

  • Built on Apache Spark and optimized for performance
  • Reliable and Performant Data Lakes
  • Interactive Data Science and Collaboration
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Pros of Databricks
Pros of TileDB
  • 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
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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 TileDB?

    TileDB offers a data engine that makes data management and compute fast, easy and universal. Manage, store, share and analyze any kind of data (not just tables) with any computational tool (not just SQL) at extreme scale.

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

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

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    What are some alternatives to Databricks and TileDB?
    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