Explore the Data Mesh Stack for building scalable, decentralized data architectures using open-source tools. The Data Mesh approach leverages domain-oriented design and data product thinking, transforming how enterprises handle data at scale. This comprehensive guide covers the essential categories and top open source repositories vital for implementing Data Mesh, ensuring your organization stays ahead in the data-driven era.
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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Kong/
kong

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MarquezProject/
marquez

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Netflix/
metacat

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OpenLineage/
OpenLineage

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amundsen-io/
amundsen

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apache/
airflow

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apache/
hudi

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apache/
iceberg

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dagster-io/
dagster

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delta-io/
delta

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grafana/
grafana

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gravitee-io/
gravitee-api-management

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great-expectations/
great_expectations

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linkedin/
datahub

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open-metadata/
OpenMetadata

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prometheus/
prometheus

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treeverse/
lakeFS

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trinodb/
trino

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

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Staying up-to-date with latest features of the
Data Mesh Stack in 2026

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 Mesh Stack (Domain-Oriented Decentralized Data Architecture, Data Product Thinking) represents a new paradigm for scalable, decentralized data architecture. It empowers organizations to treat data as a product, enabling domain teams to own, manage, and serve data autonomously. Key benefits include improved scalability, enhanced agility, faster time-to-insight, and robust data governance, making it ideal for enterprises seeking to democratize analytics and build resilient data infrastructures.

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

Core Data Mesh Frameworks

Core frameworks provide the foundational tooling for implementing Data Mesh principles, such as decentralized governance, interoperability, and domain-driven design.

DataHub

linkedin/datahub
A metadata platform for the modern data stack, supporting metadata management and data product discoverability.
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OpenMetadata

open-metadata/OpenMetadata
Centralized metadata repository for data discoverability, quality, and governance across domains.
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lakeFS

treeverse/lakeFS
Git-like version control for data lakes, enabling reproducible, collaborative data management.
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Data Orchestration & Workflow

Tools that automate, schedule, and orchestrate data pipelines across decentralized domains, ensuring reliable, scalable dataflows.

Apache Airflow

apache/airflow
Platform to programmatically author, schedule, and monitor data workflows.
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Dagster

dagster-io/dagster
Data orchestrator for machine learning, analytics, and ETL that simplifies pipeline management.
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Data Catalog & Discovery

Solutions for cataloging, discovering, and managing data assets and products across domains.

Amundsen

amundsen-io/amundsen
A data discovery and metadata engine for improving productivity and data trust.
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Metacat

Netflix/metacat
A federated metadata management system for distributed data environments.
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Data Governance & Quality

Tools for ensuring data quality, policy enforcement, access control, and compliance within distributed domains.

Great Expectations

great-expectations/great_expectations
Data quality framework that helps teams validate, document, and profile data.
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Marquez

MarquezProject/marquez
Open source metadata service for the collection, aggregation, and visualization of data lineage.
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Data Storage & Lakehouse

Modern, scalable storage solutions optimized for decentralized data management and versioned data products.

Delta Lake

delta-io/delta
Lakehouse storage layer that brings ACID transactions to Apache Spark and big data workloads.
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Apache Iceberg

apache/iceberg
High-performance table format for huge analytic datasets, enabling reliable, large-scale data products.
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Apache Hudi

apache/hudi
Managing storage of large analytical datasets with streaming ingestion and incremental processing.
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Interoperability & Data Sharing

Solutions enabling secure, governed data sharing and interoperability between domains and across platforms.

OpenLineage

OpenLineage/OpenLineage
Standard for metadata and lineage collection, enabling interoperability across diverse data tools.
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Trino

trinodb/trino
Distributed SQL query engine for big data, enabling cross-domain analytics and federated queries.
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Data Product Delivery & API Management

APIs and services for exposing, managing, and consuming data products across domains.

Kong

Kong/kong
Cloud-native API gateway for managing, securing, and consuming data product APIs.
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Gravitee.io API Management

gravitee-io/gravitee-api-management
Open-source API gateway with advanced security and analytics for managing data product APIs.
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Observability & Monitoring

Monitoring and observability tools give visibility into data pipelines, product usage, and system health across domains.

Prometheus

prometheus/prometheus
Open source monitoring and alerting toolkit, providing metrics for data infrastructure.
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Grafana

grafana/grafana
Analytics and monitoring platform for visualizing data from various sources.
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Explore the latest releases and stay at the forefront of Data Mesh innovation by visiting the above repositories. Click on each GitHub URL to access cutting-edge tools and accelerate your journey towards a modern, decentralized data architecture.