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Confluent

199
181
+ 1
13
Databricks

349
563
+ 1
8
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Pros of Confluent
Pros of Databricks
  • 3
    No hypercloud lock-in
  • 3
    Dashboard for kafka insight
  • 3
    Free for casual use
  • 2
    Easily scalable
  • 2
    Zero devops
  • 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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Cons of Confluent
Cons of Databricks
  • 1
    Proprietary
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    What is 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

    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.

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    Jobs that mention Confluent and Databricks as a desired skillset
    Pinterest
    Palo Alto, CA, US; San Francisco, CA, US; Seattle, WA, US
    CBRE
    Australia New South Wales Sydney
    CBRE
    Malaysia Wilayah Persekutuan Kuala Lumpur Kuala Lumpur
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Feltham
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Minnesota Minneapolis
    CBRE
    United States of America Texas Richardson
    What companies use Confluent?
    What companies use Databricks?
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    What tools integrate with Confluent?
    What tools integrate with Databricks?

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    What are some alternatives to Confluent and Databricks?
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Amazon SQS
    Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
    Celery
    Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
    ActiveMQ
    Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
    See all alternatives