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Apache Spark vs Confluent Cloud

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Apache Spark

6.4#11 in streaming analytics softwareFree plan
Free planAPILinuxmacOSSelf-hosted
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What both publish

FactApache SparkConfluent Cloud
Founded20092014
IntegrationsThe listed ecosystem includes pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg.Confluent Cloud offers pre-built and fully managed Kafka connectors for sources and sinks such as databases, data lakes, and data warehouses.
SecuritySecurity features such as authentication are not enabled by default, and the documentation says deployments are not secure by default.The page names RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs among its security features.

Apache Spark plans

  • Apache SparkFree

Confluent Cloud plans

  • BasicFree
  • Standard$385 a month
  • Enterprise$895 a month
  • Confluent CloudFree

Pick Apache Spark if…

Spark suits teams working with large-scale batch or streaming analytics, SQL, or machine-learning workloads. It can fit environments using the listed languages, platforms, and deployment options.

Pick Confluent Cloud if…

Confluent Cloud suits teams building real-time streaming, event-driven, analytics, or AI/ML workflows. Its options include managed connectors, stream processing, and cross-cluster data sharing.

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