Free
Free
Apache Spark is Apache-licensed open-source software available from spark.apache.org without a vendor subscription.
- Access
- Apache Spark is Apache-licensed open-source software available from spark.apache.org without a vendor subscription.
Code · Vendor site 2026-10-04
Apache Spark is an open-source unified analytics engine for large-scale data engineering, SQL, streaming, machine learning, and graph processing. The project site documents APIs in Python, Scala, Java, and R plus deployment guidance for clusters you operate.
Data engineers and scientists running batch or streaming analytics on self-managed or cloud-provided Spark clusters.
You provision compute and storage for clusters; the ASF site distributes the engine rather than a fully managed SaaS tier.
Apache Spark packages batch, SQL, streaming, and ML workloads into one open-source runtime teams deploy on their own infrastructure.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Engine scope | Homepage title calls Spark a unified engine for large-scale data analytics. | Facts sourced | 2026-10-04 |
| Meta description | Meta description highlights multi-language execution for data engineering, science, and ML on clusters. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
Apache Spark is Apache-licensed open-source software available from spark.apache.org without a vendor subscription.
Doppio is a managed HTML-to-PDF and screenshot API that renders documents without self-hosting Puppeteer. It offers Chromium-based rendering, direct S3 upload, webhooks, templates, and EU-hosted infrastructure for production PDF and PNG generation at scale.
Explore toolCerebrium is a serverless GPU platform for deploying real-time AI workloads such as voice agents, video models, and LLMs with sub-second cold starts and elastic scaling. Teams run Python apps on managed GPUs across multiple regions and pay for compute by the second rather than reserved capacity.
Explore toolDefang helps engineering teams become AI-native while keeping sovereignty over cloud, models, data, and deployment. Its product line includes Defang Station for running agents, Defang Deploy for shipping to your own cloud accounts, and Defang Forge for building capability, framed around an AI-Native Maturity Model and ROI workflow.
Explore toolThe practical questions
Apache Spark is an open-source unified analytics engine for large-scale data engineering, SQL, streaming, machine learning, and graph processing. The project site documents APIs in Python, Scala, Java, and R plus deployment guidance for clusters you operate.
Apache Spark is Apache-licensed open-source software available from spark.apache.org without a vendor subscription.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Documentation covers Spark SQL, DataFrame, Streaming, MLlib, and GraphX programming APIs.. API access and subscription access may have different terms; consult the linked sources.
You provision compute and storage for clusters; the ASF site distributes the engine rather than a fully managed SaaS tier.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.