Apache Spark

Also known as
apache-spark

Available worldwide

What is Apache Spark?

Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing.

Independently observed

Apache Spark pricing

We don't have Apache Spark's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Apache Spark does

The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Core
Tool role
Processing engine
Processing paradigm
Batch + streaming
Connectivity
Connector count
-
CDC / log-based replication
-
Transformation
In-warehouse transformation (push-down)
-
dbt-native orchestration
-
Deployment
Self-hosted / open-source available
Managed cloud available
-
Governance
Data lineage / asset catalog
-
Authoring
Python-first authoring
-
Execution
Incremental / partition-aware runs
-
Quality
Built-in data quality / tests
-
Scale
Horizontal scale (distributed executor)
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
Deployment
  • On-premise
  • Self-hosted

Integrations (5)

Independently observed
  • Hadoop
  • HDFS
  • YARN
  • Kubernetes
  • Docker

Security & compliance

Known vulnerabilities: 9 (1 in the last 12 months), max severity CRITICAL sourcea count reflects scale & disclosure, not quality

Apache Spark FAQ

Common questions about Apache Spark, answered from independent, dated evidence.

What is Apache Spark?

Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing. It is indexed under Data Engineering Tools.

Source: https://spark.apache.org

Is Apache Spark free to use?

Apache Spark is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://spark.apache.org

What platforms does Apache Spark support?

Apache Spark supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://spark.apache.org

Can Apache Spark be self-hosted?

Yes. Apache Spark can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://spark.apache.org

What does Apache Spark integrate with?

We have confirmed 5 integrations for Apache Spark, including Hadoop, HDFS, YARN, Kubernetes and Docker. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://spark.apache.org

Is Apache Spark open source?

Yes. Apache Spark is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/apache/spark

Apache Spark alternatives

Other data engineering tools we track, ranked by the same independent score.

All Apache Spark alternatives, ranked →

Compare Apache Spark

Side by side against other data engineering tools, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Apache Spark, not the verdict.

Balanced composite 52 / 100
low · 35%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity630.095.9
Dependent projects660.064.1
Capabilities460.083.6
Security score560.042.4
Stars880.032.3
Integrations220.071.6
Release cadence00.050.0-
Security posture50.070.0-
Package downloads00.140.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d100mediumsource · 2026-09-10 · 65%

Adoption

AttributeValueEvidence
Github stars43,974highsource · 2026-09-10 · 90%
Dependent repos8,772highsource · 2026-09-10 · 85%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesRole: engine · Paradigm: both · Self hosted oss: Yes · Distributed executor: Yesmediumsource · 2026-08-14 · 60%

Integrations

AttributeValueEvidence
Count5mediumsource · 2026-08-14 · 60%

Language

AttributeValueEvidence
PrimaryScalahighsource · 2026-09-10 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-09-10 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-08-14 · 75%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-14 · 60%
Modelcommerciallowsource · 2026-09-10 · 40%
Price levelfreemediumsource · 2026-08-14 · 60%
TransparentYesmediumsource · 2026-08-05 · 60%

Security

AttributeValueEvidence
Disclosure policyYesmediumsource · 2026-08-14 · 60%
Scorecard5.6highsource · 2026-09-10 · 90%
VulnerabilitiesCount: 9 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=org.apache.spark%3Aspark-core_2.11&per_page=100 · Last 12m: 1 · Max severity: CRITICALhighsource · 2026-09-10 · 90%
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