> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/delta-io/delta-sharing/llms.txt
> Use this file to discover all available pages before exploring further.

# Community Connectors

> Comprehensive list of community-built Delta Sharing connectors across programming languages and platforms

The Delta Sharing community has built connectors for numerous programming languages, data tools, and platforms. These connectors implement the [Delta Sharing Protocol](/protocol/overview) to enable data consumption from your preferred environment.

## Available Connectors

The following connectors are actively maintained by the community:

### Programming Languages

<CardGroup cols={2}>
  <Card title="Clojure" icon="code" href="https://github.com/amperity/delta-sharing-client-clj">
    Full-featured Clojure client with CDF, time travel, and predicate pushdown support
  </Card>

  <Card title="Node.js" icon="js" href="https://github.com/goodwillpunning/nodejs-sharing-client">
    JavaScript/TypeScript connector for Node.js applications
  </Card>

  <Card title="Java" icon="java" href="https://github.com/databrickslabs/delta-sharing-java-connector">
    Pure Java implementation for JVM applications
  </Card>

  <Card title="Rust" icon="rust" href="https://github.com/r3stl355/delta-sharing-rust-client">
    High-performance Rust client for systems programming
  </Card>

  <Card title="Go" icon="golang" href="https://github.com/magpierre/delta-sharing/tree/golangdev/golang/delta_sharing_go">
    Go implementation for cloud-native applications
  </Card>

  <Card title="C++" icon="c" href="https://github.com/magpierre/delta-sharing/tree/cppdev/cpp/DeltaSharingClient">
    Native C++ client for performance-critical applications
  </Card>

  <Card title="R" icon="r-project" href="https://github.com/zacdav-db/delta-sharing-r">
    R package for statistical computing and data science
  </Card>
</CardGroup>

### Data Tools & Platforms

<CardGroup cols={2}>
  <Card title="Power BI" icon="chart-line">
    Official Databricks-owned connector for Microsoft Power BI
  </Card>

  <Card title="Arcuate" icon="database" href="https://github.com/databrickslabs/arcuate">
    Data integration framework with Delta Sharing support
  </Card>

  <Card title="Google Sheets" icon="table" href="https://github.com/delta-incubator/delta-sharing-connectors/tree/main/google_workspace_add_on">
    Add-on for importing shared data into Google Spreadsheets (Beta)
  </Card>

  <Card title="Excel Connector" icon="file-excel" href="https://www.exponam.com/solutions/">
    Commercial Excel integration (limited release)
  </Card>
</CardGroup>

### Specialized Connectors

<Card title="Lakehouse Sharing" icon="warehouse" href="https://github.com/rajagurunath/lakehouse-sharing">
  Experimental table-format agnostic sharing server supporting both Delta Lake and Apache Iceberg formats using the Delta Sharing Protocol. [Read the detailed explanation](https://guruengineering.substack.com/p/lakehouse-sharing).
</Card>

## Detailed Connector Information

### Clojure Client

<Card icon="code" title="amperity/delta-sharing-client-clj" href="https://github.com/amperity/delta-sharing-client-clj">
  **Status**: Released\
  **Maintainer**: Amperity

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Change Data Feed (CDF) queries
  * Time travel queries
  * Query changes between versions
  * Delta format queries
  * Limit and predicate pushdown

  This is the most feature-complete community connector, implementing nearly all advanced Delta Sharing capabilities.
</Card>

### Node.js Client

<Card icon="js" title="nodejs-sharing-client" href="https://github.com/goodwillpunning/nodejs-sharing-client">
  **Status**: Released

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Ideal for JavaScript and TypeScript applications, including serverless functions and Node.js backends.
</Card>

### Java Connector

<Card icon="java" title="databrickslabs/delta-sharing-java-connector" href="https://github.com/databrickslabs/delta-sharing-java-connector">
  **Status**: Released\
  **Maintainer**: Databricks Labs

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Pure Java implementation suitable for enterprise Java applications and frameworks.
</Card>

### Rust Client

<Card icon="rust" title="delta-sharing-rust-client" href="https://github.com/r3stl355/delta-sharing-rust-client">
  **Status**: Released

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  High-performance implementation for systems programming and embedded use cases.
</Card>

### Go Client

<Card icon="golang" title="delta-sharing Go implementation" href="https://github.com/magpierre/delta-sharing/tree/golangdev/golang/delta_sharing_go">
  **Status**: Released

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Native Go implementation perfect for microservices and cloud-native applications.
</Card>

### C++ Client

<Card icon="c" title="DeltaSharingClient (C++)" href="https://github.com/magpierre/delta-sharing/tree/cppdev/cpp/DeltaSharingClient">
  **Status**: Released

  **Features**:

  * Query table metadata
  * Query latest table snapshots

  Native C++ client for high-performance and embedded applications.
</Card>

### R Package

<Card icon="r-project" title="delta-sharing-r" href="https://github.com/zacdav-db/delta-sharing-r">
  **Status**: Released

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Enables R users to access shared Delta tables for statistical analysis and data science workflows.
</Card>

### Power BI Connector

<Card icon="chart-line" title="Power BI Connector">
  **Status**: Released\
  **Maintainer**: Databricks (Official)

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Official connector for Microsoft Power BI, enabling business intelligence and reporting on shared Delta tables.
</Card>

### Arcuate

<Card icon="database" title="databrickslabs/arcuate" href="https://github.com/databrickslabs/arcuate">
  **Status**: Released\
  **Maintainer**: Databricks Labs

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Data integration framework with built-in Delta Sharing support.
</Card>

### Google Sheets Add-on

<Card icon="table" title="Google Workspace Add-on" href="https://github.com/delta-incubator/delta-sharing-connectors/tree/main/google_workspace_add_on">
  **Status**: Beta

  **Features**:

  * Query table version and metadata
  * Query latest table snapshots
  * Query table metadata

  Import shared Delta tables directly into Google Spreadsheets for collaborative analysis.
</Card>

## In Development

### Airflow Integration

<Card icon="wind" title="Apache Airflow" href="https://github.com/apache/airflow/pull/22692">
  **Status**: Un-released (PR pending)

  Integration with Apache Airflow for orchestrating data pipelines with Delta Sharing tables.
</Card>

## Feature Matrix

<Note>
  The following table summarizes the features supported by each connector:
</Note>

| Connector         | Version Query | Metadata | Snapshot | CDF | Time Travel | Predicate Pushdown | Delta Format |
| ----------------- | ------------- | -------- | -------- | --- | ----------- | ------------------ | ------------ |
| **Clojure**       | ✅             | ✅        | ✅        | ✅   | ✅           | ✅                  | ✅            |
| **Node.js**       | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Java**          | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Rust**          | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Go**            | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **C++**           | ❌             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **R**             | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Power BI**      | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Arcuate**       | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |
| **Google Sheets** | ✅             | ✅        | ✅        | ❌   | ❌           | ❌                  | ❌            |

### Feature Definitions

<Accordion title="QueryTableVersion">
  Ability to retrieve the current version number of a shared table. This is essential for tracking table changes and implementing time travel queries.
</Accordion>

<Accordion title="QueryTableMetadata">
  Retrieve table schema information including column names, data types, and partitioning details. Required for all connectors.
</Accordion>

<Accordion title="QueryTableLatestSnapshot">
  Fetch the latest data snapshot from a shared table. This is the core functionality that all connectors must implement.
</Accordion>

<Accordion title="QueryTableChanges (CDF)">
  Support for Change Data Feed queries, allowing incremental processing by retrieving only the changes between table versions.
</Accordion>

<Accordion title="Time Travel Queries">
  Query historical versions of tables by specifying a version number or timestamp.
</Accordion>

<Accordion title="Limit and Predicate Pushdown">
  Send filter predicates and row limits to the server to reduce data transfer and improve query performance.
</Accordion>

<Accordion title="Delta Format Queries">
  Request data in native Delta format instead of Parquet for optimized performance with Delta-aware engines.
</Accordion>

## Choosing a Connector

When selecting a connector for your use case, consider:

1. **Language/Platform Compatibility**: Choose a connector in your preferred programming language or data tool
2. **Feature Requirements**: If you need advanced features like CDF or time travel, the Clojure client currently offers the most complete implementation
3. **Maintenance Status**: Released connectors are production-ready, while Beta/Preview connectors may have limitations
4. **Performance Needs**: Rust and C++ clients offer the best performance for high-throughput scenarios
5. **Community Support**: Check the GitHub repository for recent activity and issue response times

## Contributing a Connector

Interested in building a connector for a new language or platform? See our [Community Ecosystem Guide](/community/overview) for implementation guidelines.

To add your connector to this list:

1. Implement the [Delta Sharing Protocol](/protocol/overview)
2. Open source your code with clear documentation
3. Submit a pull request to the [Delta Sharing repository](https://github.com/delta-io/delta-sharing) updating the README

## Support & Resources

<CardGroup cols={2}>
  <Card title="Protocol Docs" icon="book" href="/protocol/overview">
    Learn the Delta Sharing Protocol specification
  </Card>

  <Card title="Build Your Own" icon="hammer" href="/community/overview">
    Guidelines for creating a new connector
  </Card>

  <Card title="Join Slack" icon="slack" href="https://go.delta.io/slack">
    Connect with the community on Slack
  </Card>

  <Card title="GitHub Issues" icon="github" href="https://github.com/delta-io/delta-sharing/issues">
    Report issues or request features
  </Card>
</CardGroup>