Explore the Data Streaming Stack, featuring Apache Kafka, Apache Flink, and AWS Kinesis—leading open-source and cloud-native solutions for real-time data streaming. This stack enables efficient, scalable, and fault-tolerant stream processing, making it an essential foundation for modern data-driven organizations. Discover the top open-source repositories, libraries, and tools that power the world’s most demanding data pipelines and event-driven applications.
feature.delivery is a free, web-based platform that enables developers to monitor and consolidate software releases from multiple GitHub repositories into a single, streamlined chronological view. By centralizing release information across various tools, libraries, and services, feature.delivery simplifies the process of staying informed about the latest updates in a development stack. Stay ahead of the curve with feature.delivery, the free online tool designed to help developers effortlessly track and consolidate the latest releases from multiple GitHub repositories in one clean, chronological view. Whether you're managing a complex development stack or simply want to stay up to date with your favorite open-source projects, feature.delivery streamlines release tracking so you never miss an important update. By keeping up with the latest changes, developers can quickly adopt new features, enhance performance, and maintain a competitive edge in today's fast-moving tech landscape. Say goodbye to manual tracking and hello to smarter, faster development with feature.delivery.

https://feature.delivery

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apache/
avro

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apache/
flink

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apache/
flink-connector-kafka

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apache/
flink-kubernetes-operator

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apache/
flink-metrics

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apache/
flink

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apache/
kafka

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apache/
kafka

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apache/
kafka

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awslabs/
amazon-kinesis-client

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awslabs/
amazon-kinesis-producer

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confluentinc/
kafka-connect-jdbc

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confluentinc/
schema-registry

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danielqsj/
kafka_exporter

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debezium/
debezium

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localstack/
localstack

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strimzi/
strimzi-kafka-operator

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ververica/
flink-cdc-connectors

Use this link to track latest updates across the 18 repositories in Data Streaming Stack

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Staying up-to-date with latest features of the
Data Streaming Stack in 2025

How does it work?

feature.delivery is a free, web-based platform that helps developers track the latest releases from multiple GitHub repositories — all in one streamlined, chronological view. By centralizing release information across tools, libraries, and frameworks, feature.delivery makes it easier than ever to stay on top of the updates throughout your development stack.

Checkout this 1 minute intro video to see it in action

The Data Streaming Stack (Apache Kafka, Apache Flink, AWS Kinesis) empowers organizations to process and analyze vast streams of data in real time, enabling rapid decision-making, improved scalability, and efficient event-driven architectures. Leveraging these technologies allows businesses to build robust data pipelines, handle high-throughput workloads, and seamlessly integrate with a vibrant open-source ecosystem for transformation, monitoring, and deployment.

Here's a breakdown of the Data Streaming Stack into different categories

Core Streaming Frameworks

The core frameworks constitute the backbone of the Data Streaming Stack, providing the essential components for ingesting, processing, and distributing data streams at scale.

Apache Kafka

apache/kafka
A distributed event streaming platform for high-performance data pipelines, streaming analytics, and real-time event processing.
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Apache Flink

apache/flink
A framework and distributed processing engine for stateful computations over unbounded and bounded data streams.
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LocalStack

localstack/localstack
A fully functional local AWS cloud stack, including a mock implementation of AWS Kinesis for development and testing.
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Stream Processing Libraries

These libraries provide essential tools for processing, transforming, and aggregating streaming data within the stack.

Kafka Streams

apache/kafka/tree/trunk/streams
A client library for building applications and microservices, where the input and output data are stored in Kafka clusters.
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Flink Connectors

apache/flink-connector-kafka
A collection of connectors for Apache Flink to integrate with diverse data sources and sinks, including Kafka and Kinesis.
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Kinesis Data Streams Producer Library

awslabs/amazon-kinesis-producer
A library that simplifies writing data to AWS Kinesis Data Streams, ensuring efficiency and reliability.
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Data Integration & Connectors

Connectors and integration frameworks facilitate data movement between streaming systems and external storage, databases, or other services.

Kafka Connect

apache/kafka/tree/trunk/connect
A framework for connecting Kafka with external systems such as databases, key-value stores, and file systems.
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Debezium

debezium/debezium
An open-source distributed platform for change data capture (CDC) that works with Kafka Connect.
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Flink CDC Connectors

ververica/flink-cdc-connectors
Change data capture connectors for Apache Flink to ingest data changes from various databases.
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Monitoring & Observability

Monitoring tools provide visibility into the health and performance of streaming systems, enabling proactive incident management and performance tuning.

Kafka Exporter

danielqsj/kafka_exporter
Prometheus exporter for Kafka metrics, enabling comprehensive monitoring and alerting.
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Flink Metrics Reporter

apache/flink-metrics
A collection of metric reporters for Apache Flink, integrating with popular monitoring solutions.
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Kinesis Consumer Library (KCL)

awslabs/amazon-kinesis-client
A library that helps developers process data from Kinesis Data Streams with enhanced monitoring capabilities.
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Data Serialization & Schema Management

Serialization and schema management are essential for efficient data exchange and validation in distributed streaming architectures.

Apache Avro

apache/avro
A data serialization system providing rich data structures and a compact, fast, binary data format.
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Confluent Schema Registry

confluentinc/schema-registry
A centralized service for managing and validating schemas for Kafka topics.
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Management & Orchestration

Management and orchestration tools automate deployment, scaling, and maintenance of streaming clusters, ensuring operational efficiency.

Strimzi

strimzi/strimzi-kafka-operator
Kubernetes operator for running Apache Kafka on Kubernetes, automating deployment and operations.
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Flink Kubernetes Operator

apache/flink-kubernetes-operator
Kubernetes operator for deploying and managing Apache Flink jobs and clusters.
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Data Sink & Analytics Integration

Libraries and connectors that enable streaming data to be delivered to analytics platforms, data warehouses, and other sinks.

Kafka Connect JDBC

confluentinc/kafka-connect-jdbc
A Kafka Connect connector for integrating with relational databases using JDBC.
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Flink SQL

apache/flink/tree/master/flink-table
Brings SQL capabilities to Apache Flink, enabling declarative stream analytics and data integration.
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Explore the latest releases and updates from these leading open-source repositories to stay ahead with the Data Streaming Stack. Click on the repository URLs to dive deeper into their features and see how they can elevate your real-time data infrastructure.