Apache Flink

An open-source distributed engine for processing data streams and batch workloads

Vendor
The Apache Software Foundation
Also known as
apache-flink

What is Apache Flink?

A streaming-first runtime that processes high-volume data with low latency, supporting both streaming and batch programs. It offers Java and Scala APIs, flexible windowing, exactly-once processing guarantees, and integrates with components of the Hadoop ecosystem.

Independently observed

Apache Flink pricing

We don't have Apache Flink'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 Flink 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
17+
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
  • macOS
  • Linux
  • Windows
Deployment
  • Self-hosted

Integrations (25)

Independently observed
  • Kafka
  • Cassandra
  • Elasticsearch
  • MongoDB
  • OpenSearch
  • RabbitMQ
  • Google Cloud Pub/Sub
  • Apache Pulsar
  • JDBC
  • Apache HBase
  • Apache Hive
  • Amazon Kinesis
  • Amazon Firehose
  • Amazon DynamoDB
  • Apache Kudu
  • Prometheus
  • HTTP
  • AWS
  • Google Cloud PubSub
  • HBase
  • Hive
  • Kudu
  • Pulsar
  • YARN
  • HDFS

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Apache Flink FAQ

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

What is Apache Flink?

A framework that processes real-time streams and batch data at scale, enabling stateful computations with low latency and high throughput across distributed clusters. It is indexed under Data Engineering Tools.

Source: https://flink.apache.org

Is Apache Flink free to use?

Apache Flink 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://flink.apache.org

What platforms does Apache Flink support?

Apache Flink supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://flink.apache.org

Can Apache Flink be self-hosted?

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

Source: https://flink.apache.org

What does Apache Flink integrate with?

We have confirmed 17 integrations for Apache Flink, including Kafka, Cassandra, Elasticsearch, MongoDB, OpenSearch, RabbitMQ, Google Cloud Pub/Sub and Apache Pulsar, plus 9 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://flink.apache.org

Is Apache Flink open source?

Yes. Apache Flink 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/flink

Apache Flink alternatives

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

All Apache Flink alternatives, ranked →

Compare Apache Flink

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 Flink, not the verdict.

Balanced composite 56 / 100
medium · 56%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Package downloads610.148.3
Development activity630.095.9
Capabilities580.084.5
Dependent projects520.063.3
Security score620.042.6
Integrations360.072.5
Stars830.032.2
Release cadence00.050.0-
Security posture50.070.0-
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 stars26,328highsource · 2026-09-10 · 90%
Package downloads weekly50,231highsource · 2026-08-26 · 85%
Dependent repos1,372highsource · 2026-08-26 · 85%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 67%

Features

AttributeValueEvidence
CapabilitiesRole: engine · Paradigm: both · Connector count: 17+ · Self hosted oss: Yes · Incremental runs: Yes · Distributed executor: Yesmediumsource · 2026-09-14 · 60%

Integrations

AttributeValueEvidence
Count17mediumsource · 2026-09-14 · 60%

Language

AttributeValueEvidence
PrimaryJavahighsource · 2026-09-10 · 90%

License

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

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-14 · 60%
Price levelfreemediumsource · 2026-09-14 · 60%
Modelopen_sourcemediumsource · 2026-09-14 · 60%
TransparentYesmediumsource · 2026-08-14 · 60%

Security

AttributeValueEvidence
Disclosure policyYesmediumsource · 2026-08-14 · 60%
Scorecard6.2highsource · 2026-09-10 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=org.apache.flink%3Aflink-clients_2.11&per_page=100 · Last 12m: 0highsource · 2026-08-26 · 90%
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