Apache Spark vs Quix Streams
Apache Spark
spark.apache.orgQuix Streams
quix.ioSide by side
| Figure | Apache Spark | Quix Streams |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Stream Analytics Software | 8.2 (#7) | 7.4 (#20) |
| Spec score · Stream Processing Software | 8.2 (#7) | 7.3 (#21) |
| Integrations | The listed ecosystem includes pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg. | It can connect to Quix Cloud, Redpanda Cloud, other supported Kafka-compatible brokers, or a self-hosted broker. |
| Security | Security features such as authentication are not enabled by default, and the documentation says deployments are not secure by default. | Quix's platform security page says it prefers TLS 1.3, permits TLS 1.2 as fallback, and does not support TLS 1.1 or older. |
| Support | The project directs users to mailing lists and community resources for help. | The quickstart directs users with problems to create an issue or ask in the Quix Community Slack channel `#quix-help`. |
Plans
In their own words
Apache Spark
Apache Spark is a free, open-source engine for large-scale data analytics. It processes batches and real-time streams using Python, SQL, Scala, Java, or R. Spark SQL runs distributed ANSI SQL queries on structured tables and unstructured data such as JSON or images; MLlib provides machine-learning algorithms for local use or cluster scale. The project also describes exploratory analysis on petabyte-scale data without downsampling. Listed ecosystem components include pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg. Deployment options include standalone, Hadoop YARN, and Kubernetes. Spark runs on Windows and UNIX-like systems, including Linux and macOS, when a supported Java version is available. The 4.2.0 documentation lists Java 17, 21, or 25, Scala 2.13, Python 3.10+, and R 4.0+ (deprecated). Spark Connect separates client applications from clusters for remote access. Security is not enabled by default; Spark supports TLS for RPC connections and encryption of temporary local-disk data. The project is licensed under Apache License, Version 2.0.