Polaris Catalog from Snowflake: Everything We Know So Far
Share this article
Polaris Catalog is Snowflake’s open-source catalog for Apache Iceberg. Currently, it’s interoperable with Amazon Web Services (AWS), Confluent, Dremio, Google Cloud, Microsoft Azure, and Salesforce.
This article will look at the core capabilities of Polaris Catalog from Snowflake and address some of the most commonly asked questions.
Table of contents #
- What is Polaris Catalog?
- Polaris Catalog: Core capabilities
- What’s next?
- Polaris catalog: Frequently Asked Questions
- Polaris Catalog: Related Reads
What is Polaris Catalog? #
On June 3, 2024, Snowflake announced Polaris Catalog, a vendor-neutral, open data catalog for Apache Iceberg — which is an open-source table format for large analytic workloads.
Polaris Catalog builds on the open standard of a REST protocol created by the Iceberg community. The goal is to support interoperability across engines, without any vendor lock-in.
“Polaris Catalog provides an open standard for users to access and retrieve data using any engine of choice that supports the Iceberg Rest API, including Apache Flink, Apache Spark, Dremio, Python, Trino and others.”
You can host Polaris Catalog in Snowflake managed infrastructure or your infrastructure of choice. The catalog will also adopt Snowflake Horizon’s security and governance capabilities to provide enterprise-grade security for your data.
Snowflake states that Polaris Catalog will be “both open-sourced in the next 90 days and available to run in public preview in Snowflake infrastructure soon.”
Polaris Catalog: Core capabilities #
Since Snowflake announced the catalog recently, its capabilities and features will keep evolving.
An essential development to note is that Polaris intends to make the existing REST protocol for Apache Iceberg suitable for enterprise use cases. IDC’s research vice president, Stewart Bond, observes that:
As of now, Polaris Catalog is geared to offer the following:
- Cross-engine read and write interoperability
- Centralized access across engines
- Vendor-agnostic flexibility (run anywhere, no lock-in)
- Extend Snowflake Horizon’s governance features via Polaris Catalog Integration
Let’s get into the specifics.
Cross-engine read and write interoperability #
Multi-engine interoperability is one of the key tenets of Polaris Catalog. So, you can read and write from any REST-compatible engine — Apache Doris, Apache Flink, Apache Spark, PyIceberg, StarRocks, Trino and more. This eliminates the need to move or copy data for different engines and catalogs, which leads to siloed data.
Centralized access across engines #
Polaris Catalog enables you to manage Iceberg tables for all users and engines from one location. Regardless of the engines, all Iceberg read and write operations will get routed through Polaris Catalog.
So, diverse data teams can modify tables concurrently, generate and run queries to analyze the data in those tables, and more. This streamlines data management for Apache Iceberg tables, while centralizing access.
Vendor-agnostic flexibility #
Snowflake heavily emphasizes the ‘no vendor lock-in’ capability of Polaris Catalog. So, you can run Polaris Catalog in your infrastructure of choice — either Snowflake’s AI Data Cloud infrastructure (public preview soon), or self-hosting with containers such as Docker or Kubernetes (coming soon).
Extend Snowflake Horizon’s governance features #
You can integrate Polaris Catalog with Snowflake Horizon. This allows you to leverage Horizon’s governance capabilities — column masking policies, object tagging and sharing — for Polaris Catalog.
What’s next? #
Snowflake’s Polaris Catalog acts as a single location to access and retrieve Apache Iceberg data and metadata from numerous engines, thereby supporting storage interoperability. Its integration with Snowflake Horizon ensures enterprise-grade governance, data security, and privacy capabilities for your Iceberg data, regardless of the underlying hosting infrastructure.
As of now, Snowflake is still working on releasing Polaris to its enterprise customers (public preview) and we’re excited to see how this solution will shape up in the future to enable interoperability for open table formats.
Polaris catalog: Frequently Asked Questions (FAQs) #
1. What is Polaris Catalog? #
As mentioned earlier, Polaris Catalog is an open-source catalog for Apache Iceberg from Snowflake. The Apache Iceberg community laid the groundwork, and Snowflake built on those standards to improve Polaris Catalog — with full enterprise security, interoperability, and vendor neutral storage.
2. Is Polaris Catalog available for general use? #
Not yet. It will be in public preview in the next 90 days.
3. How much will Polaris Catalog cost? #
As of June 3, 2024, Polaris Catalog is open-source.
Polaris Catalog: Related Reads #
- Snowflake Horizon for Data Governance
- Snowflake Cortex for AI & ML Analytics: Here’s Everything We Know So Far
- Snowflake Copilot: Here’s Everything We Know So Far About This AI-Powered Assistant
- Snowflake Data Governance — Features & Frameworks
- Snowflake Data Cloud Summit 2024: Get Ready and Fit for AI
- How to Set Up Data Governance for Snowflake: A Step-by-Step Guide
- Snowflake Data Lineage: A Step-by-Step How to Guide
- How to Set Up a Data Catalog for Snowflake: A Step-by-Step Guide
- Snowflake Data Catalog: What, Why & How to Evaluate
- Snowflake Data Mesh: Step-by-Step Setup Guide
- Databricks Unity Catalog: A Comprehensive Guide to Features, Capabilities, Architecture
- Data Catalog for Databricks: How To Setup Guide
Share this article