Princeton, NJ, United States — July 15, 2025

Qarbine, the Modern Data Collaboration and AI Suite™, announces a significant new release designed to empower data professionals, analysts, and business teams. This update delivers integration with leading data warehouses, expanded AI capabilities, and a more intuitive template design experience, reinforcing Qarbine’s leadership in modern analytics and AI-driven insights.

Unmatched Native Database Integrations
With the addition of native support for Databricks, AWS Redshift, Google BigQuery, Google Spanner, Snowflake, and Firebolt, Qarbine now offers one of the industry’s broadest arrays of direct database integrations. Enterprises benefit from seamless connectivity across document, graph, vector, and SQL databases, including MongoDB, Starburst SQL, IBM DB2, Neo4j, AWS Neptune, Couchbase, Milvus, Pinecone, CosmosDB, DataStax, Weaviate, Qdrant, PostgreSQL, Singlestore, DynamoDB, and ScyllaDB. This native integration strategy eliminates the friction and delays of middleware or ETL tasks, enabling organizations to access and analyze their data with unprecedented productivity.

Robust JSON Support for Modern Analytics
Qarbine’s deep JSON handling capabilities set it apart in the analytics landscape. By supporting complex JSON objects natively, Qarbine removes the need for convoluted SQL, prevents answer set explosion from un-nesting, and avoids the pitfalls of costly ETL processes that can lead to outdated or incomplete insights. This robust JSON support ensures that enterprises can work with modern data formats efficiently, driving more natural and accurate analytics across a wide range of use cases.

Expansive AI Service Integrations
The latest release brings Qarbine’s AI ecosystem to over 20 integrated services, including OpenAI, DeepSeekAI, Bedrock, Google Gemini, and Anthropic. Qarbine’s “Ask AI” and no-code Retrieval Augmented Generation (RAG) features empower users to derive actionable insights directly from their data, whether through vector search, programmatic completion and inference, or dynamic RAG from live analytic output. These broad AI integrations provide enterprises with the flexibility to leverage the latest advancements in AI without the need for custom development.

Enterprise Productivity and Collaboration
Available on AWS and Azure Marketplaces, the suite’s native database interactions and advanced AI vector search capabilities enable detailed analysis and seamless team collaboration. The Template Designer uniquely combines Microsoft Word formatting, Excel macro functions, and PowerPoint layout features, allowing users to produce publication-quality analytics with interactive content, graph diagrams, and charts—capabilities that far exceed those of traditional BI tools.

Getting Started
Qarbine provides an online sandbox for MongoDB, DocumentDB, DynamoDB and other database interactions allowing exploration of its features firsthand at https://qarbine.com/sandbox. AWS customers can subscribe now to the Qarbine VM which is available on a free 2 week trial basis at https://qarbine.com/awsPro. Azure customers can subscribe at https://qarbine.com/azurePro. Extensive documentation is at http:doc.qarbine.com.

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