Apache Spark
6.4#11 in streaming analytics softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitApache Spark vs Timeplus
What both publish
| Fact | Apache Spark | Timeplus |
|---|---|---|
| Deployment | Spark documents standalone, Hadoop YARN, and Kubernetes deployment options. | Timeplus Enterprise can run at the edge, in the cloud, in a BYOC environment, or in hybrid environments, on bare metal or Kubernetes. |
| Integrations | The listed ecosystem includes pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg. | Native connections include Apache Kafka, Apache Pulsar, Redpanda, ClickHouse, Splunk, Elastic, MongoDB, S3, and Apache Iceberg. |
| Purpose | Apache Spark is a unified engine for large-scale data analytics. | Timeplus is a vectorized streaming SQL platform for real-time data pipelines used in analytics, telemetry, and AI/ML. |
| Support | The project directs users to mailing lists and community resources for help. | The pricing page lists enterprise support within one business day for Cloud and within four hours for self-hosted or BYOC. |
Apache Spark plans
- Apache SparkFree
Timeplus plans
- Timeplus ProtonFree
- Cloud$199 a month
- Self-Hosted or Full-Managed BYOC—
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 Timeplus if…
Timeplus is aimed at data engineers and platform teams working with both streaming and historical data through SQL. It offers cloud, self-hosted, BYOC, edge, and hybrid deployment options.