Topic
Apache Polaris
32 posts tagged “Apache Polaris”.
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Inside the Iceberg REST Catalog's Multi-Table Commit Endpoint
How POST /v1/{prefix}/transactions/commit works: request shape, requirements, atomicity, error codes, idempotency, and limits.
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What Apache Polaris 1.9.0 Brings to Low-Egress Multi-Cloud Catalogs
What Apache Polaris 1.9.0 adds for multi-cloud lakehouses: Cloudflare R2 credential vending, a DynamoDB persistence backend, and the Iceberg 1.12 client.
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Multi-Tenant Data Agents: Serving Many Customers From One Lakehouse
Serve many customers from one lakehouse without leaking between them: isolation models, Polaris grants, and tenant-scoped agent state.
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How Apache Polaris Plans to Share Iceberg Tables Across Organizations
Apache Polaris's Open Sharing proposal adds first-class shares, external consumers, and listings so any Iceberg REST engine can read shared tables.
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Keeping Lakehouse Traffic Off the Public Internet With Apache Polaris
A private Polaris lakehouse still leaks data if the storage hop goes public. How to bind vended credentials to private networks on AWS, Azure, and GCP.
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Running Apache Polaris in Production
Apache Polaris past the quickstart: persistence backends, realm bootstrap, replica token signing, upgrades, backups, and which failures take the lakehouse offline.
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Running an Iceberg Lakehouse on Kubernetes
Catalog, maintenance, and compaction as Kubernetes workloads: scheduling classes, job structure, credential flow, and the failures that come from the interaction.
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The 2026 Iceberg REST Catalog Compatibility Report
A repeatable test for what an Iceberg REST catalog actually serves, a scoring scheme that separates design from breakage, and the 2026 evidence across seven catalogs.
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How Iceberg Catalogs Hand Engines Storage Access
Credential vending end to end: the wire protocol, scoped access on each cloud, remote signing, credential lifetime on long jobs, and failures that look like bugs.
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The Open Lakehouse Explained, Then Built on Your Laptop with Dremio and RustFS or Ceph
The five layers of the open lakehouse explained, then a lab: Parquet, Iceberg, Polaris, Arrow, and Ossie running in two containers on your own machine.
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Apache Ossie and Apache Polaris: Putting Semantic Models in the Open Catalog
Apache Ossie and Polaris put metric definitions in the open catalog. What the spec covers, what Polaris stores, and what is still unfinished.
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Governance-as-Code for the Lakehouse: Managing REST Catalog RBAC and Masking in Git
Put REST catalog RBAC and masking in Git. How to review grants, apply them safely, and keep lakehouse access from drifting.
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Multi-Cloud REST Catalog Topologies: Running Apache Polaris Across AWS, Azure, and GCP
Polaris can catalog Iceberg tables across AWS, Azure, and GCP. Four topologies, credential vending, and the tradeoffs of each design.
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The Decoupled Data Lakehouse: Multi-Engine Freedom with Open REST Catalogs
The decoupled data lakehouse: multi-engine freedom with open REST catalogs, credential vending, and an estate that outlives its tools.
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The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits
The five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity.
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Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
Why agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable.
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Cross-Cloud Credential Vending in Apache Polaris and the End of Permanent Storage Keys
How Apache Polaris vends short-lived, prefix-scoped storage credentials across AWS, Azure, and GCP, and how to retire permanent storage keys for good.
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How the Iceberg REST Catalog Turned Into the Lakehouse Control Plane
How the Iceberg REST catalog became the lakehouse control plane: multi-table atomic commits, credential vending, capability negotiation, and what still breaks.
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Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy
Apache Polaris 1.7.0 deep dive: idempotent writes, semantic models, stricter credential vending, orphan cleanup, and what the upgrade asks of you.
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Wiring an AI Agent to Apache Polaris with the Model Context Protocol
The catalog is the right attachment point for AI agents working against a lakehouse. Here's how to wire the official Polaris MCP Server and add the read.
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Governing Iceberg Tables Across Regions Without Three Sets of Permissions
Catalog federation gives you one authorization model and one audit point across regions. Here's what it solves, what it doesn't, and how to build.
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The Breakdown of the Open Lakehouse in 2026: Iceberg, Arrow, Polaris, Parquet, and Ossie, and How to Actually Build One
A detailed breakdown of the five Apache projects powering the open lakehouse in 2026, Parquet, Iceberg, Polaris, Arrow, and Ossie, and how to build one.
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Apache Polaris and Multi-Engine Iceberg Catalogs
An in-depth exploration of apache polaris and multi-engine iceberg catalogs
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The State of Apache Polaris in July 2026: From Incubating Catalog to the Governance Layer of the Open Lakehouse
Apache Polaris as a TLP, federation, credential vending, semantic layers, lineage, and how the open catalog became the governance plane.
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Multi-Engine Catalog Federation with Apache Polaris: Syncing Google Cloud, AWS, and Azure Metadata
Open table formats changed the data lakehouse conversation, but they did not finish it. A table can be stored in an open format and still be hard t...
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Unity AI Gateway vs Apache Polaris Control Planes
The right comparison is not vendor scoreboard. It is closed AI governance gateway versus open catalog control plane.
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2025 Year in Review Apache Iceberg, Polaris, Parquet, and Arrow
A look back at key developments in Apache Iceberg, Polaris, Parquet, and Arrow in 2025.
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Comprehensive Hands-on Walk Through of Dremio Cloud Next Gen (Hands-on with Free Trial)
Walkthrough with the new trial of the Dremio Cloud Platform
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2025-2026 Guide to Learning about Apache Iceberg, Data Lakehouse & Agentic AI
A curated guide to mastering Apache Iceberg, data lakehouse architectures, and the emerging field of Agentic AI for data professionals.
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An Exploration of the Commercial Iceberg Catalog Ecosystem
Dive into the world of commercial Iceberg catalogs and discover how they enhance data lakehouse architectures for modern data engineering.
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Building a Universal Lakehouse Catalog - Beyond Iceberg Tables
Exploring paths to a universal lakehouse catalog that supports multiple data formats and engines, building on Apache Iceberg's success.
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Intro to Apache Iceberg with Apache Polaris and Apache Spark
Learn how to leverage Apache Iceberg with Apache Polaris and Apache Spark to build scalable and efficient data lakehouses.