Apache Flink

Apache Flink

Verified

Stream Processing

Distributed stream processing framework for stateful computations over data streams.

Open Source employees
Open Source Project
Founded 2014
Visit Website

Work at Apache Flink?

Claim this profile to update your company information and connect with buyers

0

Product Overview

Apache Flink

Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications. It provides stateful computations over data streams and supports both batch and stream processing with exactly-once processing guarantees.

Unique Value Proposition

Apache Flink offers true stream processing with event-time processing and exactly-once consistency guarantees, achieving millisecond latencies at scale. Unlike micro-batch systems, Flink processes each event individually, enabling genuine real-time analytics and complex event processing for mission-critical applications.

Categories

Stream Processing
Big Data Integration Platforms
Real-Time Analytics

Target Market

Industries

Financial Services
E-commerce
Telecommunications
Gaming
IoT
Advertising Technology

Company Size

100 - 50000 employees

Reviews (0)

No reviews yet. Be the first to review!

Pricing Information

Pricing Model

open_source

0

Key Features

True Stream Processing
Event Time Processing
Exactly-Once Guarantees
Stateful Computations
Windowing Operations
Complex Event Processing
Savepoints and Checkpoints
Back Pressure Handling
Watermark Support
Fault Tolerance
Dynamic Scaling
SQL Support
Table API
DataStream API
Async I/O
Side Outputs
Broadcast State
Incremental Checkpointing

Integrations

Apache Kafka
Apache Pulsar
Amazon Kinesis
Apache Cassandra
Elasticsearch
Apache HBase
JDBC Databases
Apache Hadoop
Amazon S3
HDFS
Redis
RabbitMQ
Apache Hive
Apache Iceberg
Delta Lake
Kubernetes
YARN
Mesos
Docker
Prometheus
API Available
View Docs

Security Features

Kerberos Authentication
SSL/TLS Encryption
Network Security
Access Control
Secure Communication
Authentication Protocols
Encrypted State
Audit Logging

Implementation & Support

Implementation Time

5 weeks (30 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Community Support