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Apache Ossie (incubating) is an industry-wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data. Ossie was previously known as Open Semantic Interchange (OSI).
Stop redefining "Revenue" in every dashboard. Apache Ossie uses a declarative YAML standard to define metrics, dimensions, and joins — so every tool and agent in your stack works from the same source of truth.
Ensure Marketing, Finance, and Sales all see the same numbers — no more metric drift.
Give LLMs the semantic context they need to answer business questions accurately.
Move your business logic between platforms freely. Your metrics belong to you.
semantic_model: - name: ecommerce_analytics description: Sales and customer analytics ai_context: instructions: "Use for sales analysis" datasets: - name: orders source: sales.public.orders primary_key: [order_id] fields: - name: order_date dimension: is_time: true metrics: - name: total_revenue expression: dialects: - dialect: ANSI_SQL expression: SUM(orders.amount)
Apache Ossie is a collaborative, open-source effort dedicated to standardizing and streamlining semantic model definitions across the data analytics, AI, and BI ecosystem.
Seamlessly exchange semantic models between AI agents, BI platforms, and analytics tools.
Maintain consistent data definitions and values across every platform in your ecosystem.
A common standard that works across all vendors, eliminating tool-specific inconsistencies and lock-in.
Reduce engineering debt and accelerate innovation by using a unified, governed semantic foundation.
The Apache Ossie specification defines these building blocks:
Top-level container representing a complete model with datasets, relationships, and metrics.
Logical business entities — fact and dimension tables with fields and structure.
Row-level attributes for grouping, filtering, and metric expressions.
Aggregate calculations — sums, averages, ratios — spanning multiple datasets.
Categorical attributes: Where, When, Who.
Foreign key constraints connecting datasets, supporting simple and composite keys.
Leading organizations collaborating as part of Ossie to build the future of open semantic interoperability
Alation
Ataccama
Atlan
AtScale
Bigeye
BlackRock
Blue Yonder
CARTO
Cloudera
Coalesce
Collate
Collibra
Coginiti
Count
Credible
Cube
Dataiku
Databricks
DataHub
Denodo
dbt Labs
Dremio
Domo
Elementum AI
Firebolt
Hex
Honeydew
Informatica
Instacart
JetBrains
Lightdash
Metabase
Mistral AI
Omni
Oracle
Preset
Qlik
RelationalAI
Salesforce
Select Star
ServiceNow
Sigma
Snowflake
Starburst Data
Strategy
Sundial
ThoughtSpot
Zeta Global
The initiative is organized into focused groups, each tackling a specific area of the specification.
Complex metric calculations and a portable expression syntax
Enabling semantic models to reference and extend one another
Bridging Apache Ossie models with data catalog and governance platforms
Mapping Apache Ossie concepts to formal ontology standards
Tooling for importing, exporting, and validating Apache Ossie models
News and announcements from the Apache Ossie community
The Open Semantic Interchange project has been accepted into the Apache Incubator under a new name — Apache Ossie (incubating). The spec, the community, and the mission haven't changed, but the name, governance home, and long-term trajectory have.
The Financial Services Semantic Working Group has held its first formal meeting, bringing together practitioners from across banking, insurance, asset management, and market infrastructure to solve the industry's semantic alignment challenge.
The OSI specification is live, working groups are taking shape, and 14 new participants have joined the initiative.
Denodo joins Snowflake and industry leaders to advance data and AI interoperability through the Open Semantic Interchange.
JetBrains' Databao becomes a partner of the OSI initiative, contributing its open-source context engine and data agent to the ecosystem.
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