Datastrato Iceberg Lakehouse Platform

6.3easy start · #15of 24
in Data Lakehouse Platforms

Well documentedyes
Runs where you workno

Runs on api, Linux, self-hosted.

Datastrato Iceberg Lakehouse Platform is ranked #15 of 24 in data lakehouse platforms on The Geeks Club. It runs on API, Linux, Self-hosted.

Datastrato Iceberg Lakehouse Platform plans and pricing

All plans

Datastrato Enterprise Commercial distribution; deployed with a license key; pricing not stated datastrato.ai · 5 Oct 2026

Compared on data lakehouse platforms

Storage model: external
SQL analytics: Yes
ACID transactions: Yes
Table format support: open
Streaming ingestion: Yes
Governance catalog: Yes

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The record

Purpose: Datastrato is a federated metadata catalog built on Apache Gravitino and Iceberg REST Catalog for connecting data sources and governing access across clients.
Iceberg platform: Its Iceberg Lakehouse Platform provides a standards-compliant Iceberg REST Catalog with metadata caching and table maintenance for production lakehouses.
Federation: It can register Iceberg, Hive, Glue, relational databases, Kafka, filesets, and models in place without copying metadata.
Integrations: The product page names Spark, Flink, Trino, and Dremio as Iceberg catalog clients, and says the same namespace also resolves across BigQuery.
Governance: It provides catalog-level role based access, row filtering, column masking, tag-based policies, and audit across engines and agents.
Cloud storage: The platform supports S3, GCS, and ADLS with short-lived scoped credentials vended per principal.
AI access: Agents can use an MCP metadata interface and GVFS for files under the same RBAC, FGAC, and audit controls as other clients.
Operations: The product page describes per-table compaction, snapshot expiry, and orphan cleanup jobs dispatchable to Airflow, Kubernetes, EMR, or Databricks.
Deployment: Datastrato Enterprise is installed from a Helm chart into a Kubernetes cluster and activated with a license key; local evaluation uses local Kubernetes.
Enterprise support: Datastrato Enterprise includes support with a defined response commitment and a maintained release line.
Security and compliance: Datastrato's homepage states SOC 2 Type II, ISO 27001 readiness, HIPAA BAA, and GDPR alignment; audit reports and control documentation require NDA-gated access.
Audience: Datastrato says its platform is for enterprise teams and developers working with metadata management, governance, and AI-ready infrastructure.

Where it ranks on The Geeks Club

Best Data Lakehouse Platforms in 2026#15 of 24

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Sources

datastrato.ai/product/· checked 5 Oct 2026
datastrato.ai/docs/1.3.0/· checked 5 Oct 2026
datastrato.ai· checked 5 Oct 2026
datastrato.ai/about-us/· checked 5 Oct 2026