Alibaba Cloud Realtime Compute for Apache Flink vs Apache Spark

Alibaba Cloud Realtime Compute for Apache Flink9.2Visit Apache Spark8.7Visit

Higher score Alibaba Cloud Realtime Compute for Apache Flink #3 in Streaming Analytics Software 9.2/10 Paid ✓ 5 of 5 features Visit Alibaba Cloud

vs

Apache Spark #8 in Streaming Analytics Software 8.7/10 Free plan Free plan✓ 0 of 5 features Visit Apache Spark

• Alibaba Cloud Realtime Compute for Apache Flink fits best

  Managed Flink analytics with enterprise controls

• Apache Spark fits best

  Teams combining streaming with broad data processing

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Side by side

Feature	Alibaba Cloud Realtime Compute for Apache Flink 9.2/10 Visit ↗	Apache Spark 8.7/10 Visit ↗
At a glance
Editor score	9.2	8.7
Ranking	#3 in Streaming Analytics Software	#8 in Streaming Analytics Software
Best for	Managed Flink analytics with enterprise controls	Teams combining streaming with broad data processing
Pricing model	Paid	Free
Starting price	—	Free plan
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Windows, macOS, Linux
Support	Tickets, Docs · 24/7	Community, Docs
Integrations	30+ integrations	20 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Alibaba Cloud Realtime Compute for Apache Flink 5/5 · Apache Spark 0/5
SQL interface	✓ (best)	Not checked yet
Event-time processing	✓ (best)	Not checked yet
Stateful processing	✓ (best)	Not checked yet
Exactly-once processing	✓ (best)	Not checked yet
Watermarks	✓ (best)	Not checked yet
Specs
Deployment	Cloud	Self_hosted
Supported languages	SQL, Java, Python, Scala	Not checked yet
Our review
Pros	Supports SQL, Java, Python, and Scala workflows Includes stateful processing, event time, and exactly-once semantics Offers isolation, recovery, high availability, and broad connectors	Free open-source engine with batch and streaming workloads Python, SQL, Scala, Java, and R interfaces Connects to major data formats, databases, and cluster platforms
Cons	No free plan for evaluation or smaller workloads Cloud deployment limits it to managed infrastructure environments Advanced Flink capabilities may require specialist engineering skills	Self-hosted deployment requires cluster infrastructure Streaming is less specialized than dedicated streaming tools No subscription tiers or finite vendor-defined connector catalog
Our verdict	Alibaba Cloud Realtime Compute for Apache Flink is a managed, cloud-based service for real-time data processing and batch workloads. It is designed for teams building streaming ETL, metric computation, database synchronization, and… Read the review →	Apache Spark is an open-source distributed computing engine for large-scale data processing and analytics. It supports distributed batch processing, Structured Streaming for incremental stream processing, SQL queries, DataFrames and… Read the review →

Strengths and trade-offs

• Alibaba Cloud Realtime Compute for Apache Flink — where it wins

  • Supports SQL, Java, Python, and Scala workflows
  • Includes stateful processing, event time, and exactly-once semantics
  • Offers isolation, recovery, high availability, and broad connectors

  Where it doesn't

  • No free plan for evaluation or smaller workloads
  • Cloud deployment limits it to managed infrastructure environments
  • Advanced Flink capabilities may require specialist engineering skills

• Apache Spark — where it wins

  • Free open-source engine with batch and streaming workloads
  • Python, SQL, Scala, Java, and R interfaces
  • Connects to major data formats, databases, and cluster platforms

  Where it doesn't

  • Self-hosted deployment requires cluster infrastructure
  • Streaming is less specialized than dedicated streaming tools
  • No subscription tiers or finite vendor-defined connector catalog

• Alibaba Cloud Realtime Compute for Apache Flink9.2/10 · Paid

  A managed Flink service for teams needing streaming depth and enterprise controls.

  Visit Alibaba CloudFull verdict →
• Apache Spark8.7/10 · Free plan

  A broad, free engine for teams that need streaming alongside batch processing.

  Visit Apache SparkFull verdict →