Apache Spark vs Timeplus
Apache Spark
spark.apache.orgTimeplus
timeplus.comSide by side
| Figure | Apache Spark | Timeplus |
|---|---|---|
| Price from | Free | $199/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Streaming Analytics Software | 8.1 (#5) | 7.8 (#13) |
| Spec score · Stream Analytics Software | 8.2 (#7) | 7.8 (#16) |
| Spec score · Stream Processing Software | 8.2 (#7) | 7.7 (#16) |
| 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. |
Plans
Timeplus
- Timeplus ProtonFree
- Cloud$199 a month
- Self-Hosted or Full-Managed BYOCPrice not published
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.
Timeplus
Timeplus is a vectorized streaming SQL platform for real-time data pipelines in analytics, telemetry and AI/ML. Its unified engine processes streaming and historical data, using an internal write-ahead log and historical store. Streaming SQL supports streams, views, incremental materialized views, joins, aggregations, enrichment and downsampling. SQL criteria can route data to different sinks, while the console displays lineage for derived streams. Teams can build push-based, low-latency dashboards and set SQL alerts for services such as PagerDuty and Slack. Native connections include Apache Kafka, Apache Pulsar, Redpanda, ClickHouse, Splunk, Elastic, MongoDB, S3 and Apache Iceberg. Other access includes Redpanda Connect, Java, Go and Python SDKs, JDBC/ODBC, WebSockets and REST APIs. Enterprise deployments can run at the edge, in the cloud, BYOC or hybrid environments, on bare metal or Kubernetes. Proton, the open-source core, is available under Apache 2.0. Proton is free; Cloud is $199 a month and has a 14-day trial. Enterprise support is listed within one business day for Cloud and four hours for self-hosted or BYOC.