Apache Flink vs RisingWave
type: Article
description: Apache Flink is a mature, battle-tested stream processing framework with broad adoption and complex stateful processing capabilities, while RisingWave is a newer, cloud-native SQL streaming database designed for simpler real-time analytics with PostgreSQL compatibility and lower operational overhead.
language: en-US
date published: 2026-07-09T07:42:26.528Z
date created: 2026-07-09T07:42:26.528Z
date modified: 2026-07-09T07:42:27.009Z
content reference time: 2026-07-09T07:42:27.009Z
author: A Versus B
publisher: A Versus B
about: Apache Flink
about: RisingWave
abstract: Apache Flink is a mature, battle-tested stream processing framework with broad adoption and complex stateful processing capabilities, while RisingWave is a newer, cloud-native SQL streaming database designed for simpler real-time analytics with PostgreSQL compatibility and lower operational overhead.
text: First Release & Maturity. Primary Use Case. Query Language. Deployment Model. State Management. Production Users (2024). Learning Curve
conclusion text: Choose Apache Flink if you need enterprise-grade stream processing with complex stateful transformations, exactly-once semantics, and have teams with Java expertise — it's battle-tested across 10,000+ organizations. Choose RisingWave if you prioritize SQL simplicity, fast time-to-value for real-time analytics, PostgreSQL compatibility, and prefer cloud-managed infrastructure with minimal operational burden.
additional property: Minimum Operational Complexity
  type: PropertyValue
  value: Apache Flink: 5-7 (JobManager, TaskManagers, StateBackend, Checkpoints) | RisingWave: N/A
additional property: Time to First Correct Result (learning curve)
  type: PropertyValue
  value: Apache Flink: 6-10 | RisingWave: N/A
additional property: Available Built-in Connectors
  type: PropertyValue
  value: Apache Flink: 50+ | RisingWave: N/A
additional property: Watermark Support
  type: PropertyValue
  value: Apache Flink: Yes (core feature) | RisingWave: N/A
additional property: Typical Throughput (single node)
  type: PropertyValue
  value: Apache Flink: 250,000 | RisingWave: N/A
additional property: End-to-End Latency (p99)
  type: PropertyValue
  value: Apache Flink: 5-50ms | RisingWave: N/A
additional property: Delivery Semantics
  type: PropertyValue
  value: Apache Flink: Exactly-once (native) | RisingWave: N/A
additional property: State Size Capacity
  type: PropertyValue
  value: Apache Flink: 500+ | RisingWave: N/A
additional property: Throughput (Records/Second)
  type: PropertyValue
  value: Apache Flink: 1M-10M | RisingWave: N/A
additional property: Memory Usage per Node
  type: PropertyValue
  value: Apache Flink: 4-16 GB | RisingWave: N/A
additional property: Minimum Cluster Size
  type: PropertyValue
  value: Apache Flink: 2-3 nodes | RisingWave: N/A
additional property: Supported Languages
  type: PropertyValue
  value: Apache Flink: 4 (Java, Scala, Python, SQL) | RisingWave: N/A
additional property: Fault Tolerance Mechanism
  type: PropertyValue
  value: Apache Flink: Distributed snapshots + checkpointing | RisingWave: N/A
additional property: GitHub Stars (2025)
  type: PropertyValue
  value: Apache Flink: 23.8K | RisingWave: N/A
additional property: Optimal Dataset Size
  type: PropertyValue
  value: Apache Flink: Continuous streams (any size) | RisingWave: N/A
additional property: Processing Latency (end-to-end)
  type: PropertyValue
  value: Apache Flink: 50-100ms | RisingWave: N/A
additional property: Processing Semantics
  type: PropertyValue
  value: Apache Flink: Exactly-once | RisingWave: N/A
additional property: Time Window Support
  type: PropertyValue
  value: Apache Flink: Event-time, processing-time, session windows, custom | RisingWave: N/A
additional property: Setup Complexity (1-10)
  type: PropertyValue
  value: Apache Flink: 7/10 | RisingWave: N/A
additional property: Deployment Complexity
  type: PropertyValue
  value: Apache Flink: Requires cluster with YARN/Kubernetes, moderate DevOps | RisingWave: N/A
additional property: Time to First Production Deployment
  type: PropertyValue
  value: Apache Flink: 8-12 weeks (with Kubernetes ops experience) | RisingWave: 2-3 weeks
  value reference: RisingWave
additional property: Minimum Memory Requirement
  type: PropertyValue
  value: Apache Flink: 1024 MB | RisingWave: 0.5-1 GB
  value reference: RisingWave
additional property: Production Deployments Reported
  type: PropertyValue
  value: Apache Flink: 10,000+ | RisingWave: 500+
  value reference: Apache Flink
additional property: Programming Languages Supported
  type: PropertyValue
  value: Apache Flink: 4 (Java, Python, Scala, SQL) | RisingWave: 1 (SQL primary)
  value reference: Apache Flink
additional property: First Release Year
  type: PropertyValue
  value: Apache Flink: 2011 | RisingWave: 2022
  value reference: Apache Flink
additional property: Latency (p99 for simple aggregations)
  type: PropertyValue
  value: Apache Flink: 100-500 ms (tuning dependent) | RisingWave: 50-200 ms
  value reference: RisingWave
additional property: Maximum Managed State Size
  type: PropertyValue
  value: Apache Flink: Terabyte-scale (tested to 10+ TB) | RisingWave: Hundred-gigabyte-scale (tested to 500 GB)
  value reference: Apache Flink
additional property: GitHub Stars (as of 2026)
  type: PropertyValue
  value: Apache Flink: 29,000+ | RisingWave: 6,500+
  value reference: Apache Flink
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: Apache Flink: 23,800+ | RisingWave: N/A
additional property: Job Market Demand
  type: PropertyValue
  value: Apache Flink: ~1,850 | RisingWave: N/A
additional property: Baseline JVM Memory Overhead
  type: PropertyValue
  value: Apache Flink: 1.5-2.5 GB | RisingWave: N/A
additional property: Event-Time Support
  type: PropertyValue
  value: Apache Flink: Native & first-class (core design) | RisingWave: N/A
additional property: Machine Learning Capabilities
  type: PropertyValue
  value: Apache Flink: Limited (requires external libraries) | RisingWave: N/A
additional property: Top-Level Apache Status
  type: PropertyValue
  value: Apache Flink: 2015 | RisingWave: N/A
additional property: Average Query Execution (1GB dataset)
  type: PropertyValue
  value: Apache Flink: 2-3 seconds (streaming) / 4-6 (batch) | RisingWave: N/A
additional property: Processing Latency
  type: PropertyValue
  value: Apache Flink: 1-100 ms (sub-second typical) | RisingWave: N/A
additional property: Maximum Throughput per Node
  type: PropertyValue
  value: Apache Flink: 100,000-1,000,000 events/sec | RisingWave: N/A
additional property: Python Support Level
  type: PropertyValue
  value: Apache Flink: PyFlink added in v1.11 (2020); improved in v1.14+ | RisingWave: N/A
additional property: State Consistency Guarantee
  type: PropertyValue
  value: Apache Flink: Exactly-once (configurable per checkpoint) | RisingWave: N/A
additional property: Integrated Web UI
  type: PropertyValue
  value: Apache Flink: Basic REST API only (external UI required) | RisingWave: N/A
additional property: Minimum Java Version Required
  type: PropertyValue
  value: Apache Flink: Java 11+ | RisingWave: N/A
additional property: Native Connectors Available
  type: PropertyValue
  value: Apache Flink: ~30 native connectors | RisingWave: N/A
additional property: GitHub Stars
  type: PropertyValue
  value: Apache Flink: 2,500+ | RisingWave: N/A
additional property: Memory Overhead (per task)
  type: PropertyValue
  value: Apache Flink: ~200-400MB (optimized) | RisingWave: N/A
additional property: Supported Event Time Semantics
  type: PropertyValue
  value: Apache Flink: Full with watermarks, out-of-order handling, allowedLateness | RisingWave: N/A
additional property: Throughput (events/sec per node)
  type: PropertyValue
  value: Apache Flink: ~1-2M events/sec | RisingWave: N/A
additional property: Batch+Stream Unified Code
  type: PropertyValue
  value: Apache Flink: Separate APIs (DataStream vs Batch) | RisingWave: N/A
additional property: Initial Release Year
  type: PropertyValue
  value: Apache Flink: 2014 | RisingWave: N/A
additional property: Primary Implementation Language
  type: PropertyValue
  value: Apache Flink: Java | RisingWave: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/apache-flink
significant link: https://www.aversusb.net/alternatives/apache-flink
significant link: https://www.aversusb.net/entity/risingwave
significant link: https://www.aversusb.net/alternatives/risingwave
significant link: https://www.aversusb.net/api/answer/flink-vs-risingwave)
significant link: https://www.aversusb.net/api/v1/schema/flink-vs-risingwave)
related link: https://www.aversusb.net/compare/flink-vs-risingwave
related link: https://www.aversusb.net/compare/flink-vs-kafka
related link: https://www.aversusb.net/compare/hadoop-vs-flink
related link: https://www.aversusb.net/compare/flink-vs-apache-storm
related link: https://www.aversusb.net/compare/airflow-vs-flink
related link: https://www.aversusb.net/compare/flink-vs-materialize
related link: https://www.aversusb.net/compare/flink-vs-apache-spark
related link: https://www.aversusb.net/compare/flink-vs-bytewax
teaches: How to choose between Apache Flink and RisingWave
genre: Software

primaryImage
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width: 1200
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caption: Apache Flink vs RisingWave — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Apache Flink
type: SoftwareApplication
alternate name: AF
language: en-US
description: Distributed stream processing framework with stateful computation and exactly-once guarantees.
image: ImageObject
  caption: Apache Flink
subject of: Apache Flink vs RisingWave
image: ImageObject
  caption: Apache Flink

RisingWave
type: SoftwareApplication
alternate name: Risingwave
language: en-US
description: Cloud-native SQL streaming database with PostgreSQL compatibility for real-time analytics.
subject of: Apache Flink vs RisingWave

Apache Flink vs RisingWave — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Apache Flink vs RisingWave. Contains 95 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
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distribution: Raw comparison JSON
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distribution: Structured FAQ pairs JSON
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distribution: AI Answer API (citation-ready)
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distribution: Related comparisons JSON
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variable measured: Minimum Operational Complexity
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variable measured: Time to First Correct Result (learning curve)
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variable measured: Minimum Cluster Size
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variable measured: Supported Languages
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variable measured: Minimum Java Version Required
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variable measured: Primary Implementation Language
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variable measured: Active Contributors (6-month window)
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variable measured: Community GitHub Stars
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variable measured: Memory Per Node
variable measured: Developer Community Size
variable measured: Available Libraries & Integrations
variable measured: Enterprise Adoption Rate
variable measured: Mean Time to Deploy Production Job
variable measured: Stateful Window Operations Complexity
variable measured: Minimum Achievable Latency (P99)
variable measured: GitHub Stars (Popularity Indicator)
variable measured: Market Adoption Rate
is based on: https://www.aversusb.net/compare/flink-vs-risingwave)

Apache Flink vs RisingWave — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Apache Flink vs RisingWave.
has defined term: Operations
has defined term: Adoption
has defined term: Ecosystem
has defined term: Features
has defined term: Performance
has defined term: Reliability
has defined term: Scalability
has defined term: Resource Efficiency
has defined term: Infrastructure
has defined term: Compatibility
has defined term: Community
has defined term: Use Case
has defined term: Ease of Use
has defined term: Implementation
has defined term: History
has defined term: Employment
has defined term: Feature Completeness
has defined term: Analytics
has defined term: Project Maturity
has defined term: Language Support
has defined term: Data Reliability
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has defined term: Requirements
has defined term: Community Adoption
has defined term: Maturity
has defined term: Architecture
has defined term: Developer Experience
has defined term: Cost
has defined term: Community & Adoption
has defined term: Industry Adoption
has defined term: Development Velocity
has defined term: Functionality
has defined term: SQL Support
has defined term: Trend
has defined term: Integrations
has defined term: Resource Requirements
has defined term: Market Share
has defined term: Capability
has defined term: Time to Production
has defined term: Resources
has defined term: Operability
has defined term: Deployment
has defined term: Correctness
has defined term: Integration

Operations
type: DefinedTerm
term code: operations
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Use Case
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term code: use-case
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

History
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term code: history
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Employment
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term code: employment
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Feature Completeness
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term code: feature-completeness
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Analytics
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term code: analytics
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Project Maturity
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term code: project-maturity
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Language Support
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term code: language-support
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Data Reliability
type: DefinedTerm
term code: data-reliability
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Monitoring
type: DefinedTerm
term code: monitoring
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Requirements
type: DefinedTerm
term code: requirements
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Community Adoption
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term code: community-adoption
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Maturity
type: DefinedTerm
term code: maturity
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Community & Adoption
type: DefinedTerm
term code: community-&-adoption
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Industry Adoption
type: DefinedTerm
term code: industry-adoption
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Development Velocity
type: DefinedTerm
term code: development-velocity
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

SQL Support
type: DefinedTerm
term code: sql-support
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Trend
type: DefinedTerm
term code: trend
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Resource Requirements
type: DefinedTerm
term code: resource-requirements
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Market Share
type: DefinedTerm
term code: market-share
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Time to Production
type: DefinedTerm
term code: time-to-production
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Resources
type: DefinedTerm
term code: resources
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Operability
type: DefinedTerm
term code: operability
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Correctness
type: DefinedTerm
term code: correctness
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Apache Flink vs RisingWave — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T07:42:27.009Z
author: A Versus B
publisher: A Versus B
is part of: flink-vs-risingwave)
main entity: When should I choose Flink over RisingWave?
  type: Question
  accepted answer: Answer
    text: Choose Flink if you need exactly-once semantics (critical for financial/payment systems), complex event processing with custom stateful logic, or have existing Java/Scala codebases. Flink's distributed snapshot mechanism guarantees no duplicate or lost events, making it essential for fraud detection, transaction processing, and CEP patterns that RisingWave cannot match.
    language: en-US
main entity: Is RisingWave enterprise-ready in 2024?
  type: Question
  accepted answer: Answer
    text: RisingWave is production-ready for real-time analytics and materialized views (500+ organizations deployed as of 2024), but has a smaller reference customer base than Flink's 10,000+ deployments. For mission-critical financial systems requiring exactly-once guarantees, Flink remains the safer choice. RisingWave excels for analytics, dashboards, and streaming SQL where at-least-once semantics are acceptable.
    language: en-US
main entity: Can I migrate from Flink to RisingWave or vice versa?
  type: Question
  accepted answer: Answer
    text: Limited direct migration exists. Flink uses Java/Scala DataStream APIs or SQL, while RisingWave uses PostgreSQL-compatible SQL. For simple SQL-based jobs, you can rewrite Flink SQL to RisingWave SQL (10-20% effort). For complex Flink DataStream programs with custom operators and CEP logic, a full rewrite would be required. The reverse (RisingWave to Flink) is easier due to Flink's broader feature set.
    language: en-US
main entity: What is the cost difference between Flink and RisingWave?
  type: Question
  accepted answer: Answer
    text: RisingWave cloud-managed is SaaS pricing (~$0.50-$1.50/hour for standard clusters in 2024). Self-hosted Flink requires infrastructure costs (Kubernetes, compute, storage) typically $5,000-$50,000/month depending on scale. RisingWave's managed model is cheaper for small-to-medium workloads; Flink's self-hosted can be cheaper at massive scale (10M+ events/sec) with optimization.
    language: en-US
main entity: How do latencies compare for real-time dashboards?
  type: Question
  accepted answer: Answer
    text: RisingWave achieves 50-200ms P99 latency for materialized view queries by default due to in-memory indexes. Flink achieves 100-500ms P99 depending on checkpointing intervals and operator logic. For sub-100ms dashboard refresh needs, RisingWave's incremental materialized views are better optimized. For complex CEP requiring Flink's stateful operators, expect higher latency due to tuning requirements.
    language: en-US

How to Choose Between Apache Flink and RisingWave
type: HowTo
description: Apache Flink is a mature, battle-tested stream processing framework with broad adoption and complex stateful processing capabilities, while RisingWave is a newer, cloud-native SQL streaming database designed for simpler real-time analytics with PostgreSQL compatibility and lower operational overhead.
language: en-US
total time: PT3M
step: Consider: First Release & Maturity
step: Consider: Primary Use Case
step: Consider: Query Language
step: Consider: Deployment Model
step: Consider: State Management
step: Consider: Production Users (2024)
step: Consider: Learning Curve
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Apache Flink if you need enterprise-grade stream processing with complex stateful transformations, exactly-once semantics, and have teams with Java expertise — it's battle-tested across 10,000+ organizations. Choose RisingWave if you prioritize SQL simplicity, fast time-to-value for real-time analytics, PostgreSQL compatibility, and prefer cloud-managed infrastructure with minimal operational burden.

Consider: First Release & Maturity
type: HowToStep
position: 1
text: First Release & Maturity: Apache Flink has 2011 (Apache since 2014), while RisingWave has 2021 (private beta), 2022 (public).

Consider: Primary Use Case
type: HowToStep
position: 2
text: Primary Use Case: Apache Flink has Complex event processing, stateful transformations, CEP, while RisingWave has Real-time SQL analytics, incremental materialized views.

Consider: Query Language
type: HowToStep
position: 3
text: Query Language: Apache Flink has DataStream API (Java/Scala), SQL with limited UDF support, while RisingWave has PostgreSQL-compatible SQL (full standard support).

Consider: Deployment Model
type: HowToStep
position: 4
text: Deployment Model: Apache Flink has On-premise, self-managed, Kubernetes, cloud VMs, while RisingWave has Cloud-native first (cloud-managed SaaS), self-hosted beta.

Consider: State Management
type: HowToStep
position: 5
text: State Management: Apache Flink has RocksDB, incremental checkpointing, exactly-once semantics, while RisingWave has In-memory + persistent storage, MVCC, eventual consistency.

Consider: Production Users (2024)
type: HowToStep
position: 6
text: Production Users (2024): Apache Flink has 10,000+ enterprises (Alibaba, Netflix, Uber, AWS), while RisingWave has 500+ organizations (growing adoption).

Consider: Learning Curve
type: HowToStep
position: 7
text: Learning Curve: Apache Flink has Steep (requires Java/Scala or SQL expertise, CEP concepts), while RisingWave has Gentle (PostgreSQL/SQL knowledge sufficient).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Apache Flink vs RisingWave
review body: Apache Flink is a mature, battle-tested stream processing framework with broad adoption and complex stateful processing capabilities, while RisingWave is a newer, cloud-native SQL streaming database designed for simpler real-time analytics with PostgreSQL compatibility and lower operational overhead.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Apache Flink vs RisingWave

Memory Overhead (idle cluster)
type: PropertyValue
value: Apache Flink: 2-4 GB | RisingWave: N/A

Time to Build First Pipeline
type: PropertyValue
value: Apache Flink: 72 | RisingWave: N/A

Active Contributors (6-month window)
type: PropertyValue
value: Apache Flink: 180+ | RisingWave: N/A

Built-in State Backends
type: PropertyValue
value: Apache Flink: Memory, RocksDB, External (3 options) | RisingWave: N/A

Price (Self-Hosted)
type: PropertyValue
value: Apache Flink: 0 (Open source) | RisingWave: N/A

Community GitHub Stars
type: PropertyValue
value: Apache Flink: 10,400 | RisingWave: N/A

Years in Production
type: PropertyValue
value: Apache Flink: 12 (since 2014) | RisingWave: N/A

Built-in Connectors
type: PropertyValue
value: Apache Flink: 15+ | RisingWave: N/A

Max Throughput (Typical Setup)
type: PropertyValue
value: Apache Flink: Millions (1M+) | RisingWave: N/A

Event Latency (Processing End-to-End)
type: PropertyValue
value: Apache Flink: 1-10ms (true event streaming) | RisingWave: N/A

Throughput Capacity
type: PropertyValue
value: Apache Flink: 1,000,000 - 5,000,000 (streaming-optimized) | RisingWave: N/A

Memory Per Node
type: PropertyValue
value: Apache Flink: 6-8GB (efficient state management) | RisingWave: N/A

Developer Community Size
type: PropertyValue
value: Apache Flink: 1,800,000 (StackOverflow, job postings 2024) | RisingWave: N/A

Available Libraries & Integrations
type: PropertyValue
value: Apache Flink: 2,000+ (Flink SQL, state backends, CEP library) | RisingWave: N/A

Enterprise Adoption Rate
type: PropertyValue
value: Apache Flink: 18% (Alibaba, Netflix, Uber, Lyft use cases) | RisingWave: N/A

Mean Time to Deploy Production Job
type: PropertyValue
value: Apache Flink: 6-10 weeks (steeper learning curve, less documentation) | RisingWave: N/A

Stateful Window Operations Complexity
type: PropertyValue
value: Apache Flink: 15-30 lines (native session window API) | RisingWave: N/A

Minimum Achievable Latency (P99)
type: PropertyValue
value: Apache Flink: 100-500ms | RisingWave: N/A

GitHub Stars (Popularity Indicator)
type: PropertyValue
value: Apache Flink: 2,500 | RisingWave: N/A

Market Adoption Rate
type: PropertyValue
value: Apache Flink: 15-20% | RisingWave: N/A

Memory Overhead per Task
type: PropertyValue
value: Apache Flink: 256-512MB | RisingWave: N/A

ANSI SQL Compliance
type: PropertyValue
value: Apache Flink: 95% | RisingWave: N/A

State Management Capabilities
type: PropertyValue
value: Apache Flink: 5 types (keyed, operator, broadcast, queryable, custom) | RisingWave: N/A

Production Deployments (2026)
type: PropertyValue
value: Apache Flink: 8,000-12,000 | RisingWave: N/A

Year-over-Year Growth Rate
type: PropertyValue
value: Apache Flink: 25% | RisingWave: N/A

Minimum Processing Latency
type: PropertyValue
value: Apache Flink: 1-10ms (streaming native) | RisingWave: N/A

Available Integrations
type: PropertyValue
value: Apache Flink: 200+ | RisingWave: N/A

Typical Cluster Setup Complexity
type: PropertyValue
value: Apache Flink: 7-9 (complex) | RisingWave: N/A

Memory Per Task (Typical)
type: PropertyValue
value: Apache Flink: 2048-8192 | RisingWave: N/A

Enterprise Adoption (2024)
type: PropertyValue
value: Apache Flink: 32% | RisingWave: N/A

State Backend Storage Limit
type: PropertyValue
value: Apache Flink: Terabytes of distributed state native | RisingWave: N/A

Time to Deploy Pipeline
type: PropertyValue
value: Apache Flink: 20-40 hours (learning + development) | RisingWave: N/A

Minimum End-to-End Latency
type: PropertyValue
value: Apache Flink: 500 ms | RisingWave: N/A

Maximum Throughput
type: PropertyValue
value: Apache Flink: Millions (100M+ with tuning) | RisingWave: N/A

Minimum Memory Footprint
type: PropertyValue
value: Apache Flink: 2 GB (standalone single node) | RisingWave: N/A

Learning Curve (1-10 scale)
type: PropertyValue
value: Apache Flink: 8 | RisingWave: N/A

Open Source Contributors
type: PropertyValue
value: Apache Flink: 1,000+ | RisingWave: N/A

Production Deployments
type: PropertyValue
value: Apache Flink: 15,000+ | RisingWave: N/A

Time-to-Production (Simple Real-time Dashboard)
type: PropertyValue
value: Apache Flink: 3-4 weeks | RisingWave: 1-2 weeks
value reference: RisingWave

Minimum Latency (P99)
type: PropertyValue
value: Apache Flink: 100-500ms | RisingWave: 50-200ms
value reference: RisingWave

State Backend Memory Efficiency
type: PropertyValue
value: Apache Flink: 2-3 GB | RisingWave: 4-6 GB
value reference: Apache Flink

Exactly-Once Semantics
type: PropertyValue
value: Apache Flink: Yes (distributed snapshots) | RisingWave: No (at-least-once only)

SQL Standard Compliance
type: PropertyValue
value: Apache Flink: 70% (subset with UDF limitations) | RisingWave: 95% (PostgreSQL compatible)
value reference: RisingWave

Production Deployments (2024)
type: PropertyValue
value: Apache Flink: 10,000+ | RisingWave: 500+
value reference: Apache Flink

Community Contributors (GitHub)
type: PropertyValue
value: Apache Flink: 120-150 | RisingWave: 40-60
value reference: Apache Flink

Supported Source/Sink Connectors
type: PropertyValue
value: Apache Flink: 80+ | RisingWave: 30+
value reference: Apache Flink

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Apache Flink — Wikipedia
type: CreativeWork

RisingWave — Wikipedia
type: CreativeWork

Compare Apache Flink vs RisingWave
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additional type: CompareAction
target: https://www.aversusb.net/compare/flink-vs-risingwave)
object: Apache Flink
object: RisingWave

Memory Per Node
type: PropertyValue
value reference: Resource Efficiency

Developer Community Size
type: PropertyValue
value reference: Ecosystem

Available Libraries & Integrations
type: PropertyValue
value reference: Ecosystem

Enterprise Adoption Rate
type: PropertyValue
value reference: Industry Adoption

Mean Time to Deploy Production Job
type: PropertyValue
value reference: Development Velocity

Stateful Window Operations Complexity
type: PropertyValue
value reference: Functionality

Minimum Achievable Latency (P99)
type: PropertyValue
value reference: Performance

GitHub Stars (Popularity Indicator)
type: PropertyValue
value reference: Community

Market Adoption Rate
type: PropertyValue
value reference: Adoption

Memory Overhead per Task
type: PropertyValue
value reference: Resource Efficiency

ANSI SQL Compliance
type: PropertyValue
value reference: SQL Support

State Management Capabilities
type: PropertyValue
value reference: Functionality

Production Deployments (2026)
type: PropertyValue
value reference: Adoption

Year-over-Year Growth Rate
type: PropertyValue
value reference: Trend

Minimum Processing Latency
type: PropertyValue
value reference: Performance

Available Integrations
type: PropertyValue
value reference: Integrations

Typical Cluster Setup Complexity
type: PropertyValue
value reference: Operations

Memory Per Task (Typical)
type: PropertyValue
value reference: Resource Requirements

Enterprise Adoption (2024)
type: PropertyValue
value reference: Market Share

State Backend Storage Limit
type: PropertyValue
value reference: Capability

Time to Deploy Pipeline
type: PropertyValue
value reference: Time to Production

Minimum End-to-End Latency
type: PropertyValue
value reference: Performance

Maximum Throughput
type: PropertyValue
value reference: Performance

Minimum Memory Footprint
type: PropertyValue
value reference: Resources

Learning Curve (1-10 scale)
type: PropertyValue
value reference: Operability

Open Source Contributors
type: PropertyValue
value reference: Community

Production Deployments
type: PropertyValue
value reference: Adoption

Time-to-Production (Simple Real-time Dashboard)
type: PropertyValue
value reference: Deployment

Minimum Latency (P99)
type: PropertyValue
value reference: Performance

State Backend Memory Efficiency
type: PropertyValue
value reference: Performance

Exactly-Once Semantics
type: PropertyValue
value reference: Correctness

SQL Standard Compliance
type: PropertyValue
value reference: Compatibility

Production Deployments (2024)
type: PropertyValue
value reference: Adoption

Community Contributors (GitHub)
type: PropertyValue
value reference: Community

Supported Source/Sink Connectors
type: PropertyValue
value reference: Integration