Overview
Qarbine is a comprehensive modern data and Gen AI analytics suite to:

Boost your dev teams’ productivity with native querying & data analysis flexibility

Amplify your modern data ROI with publication quality analytics

Improve productivity with AI driven insights across organization

Apply AI for vector search to dynamic Retrieval Augmented Generation (RAG)

Qarbine focuses on delivering the analytic details behind your summary BI visualization dashboards. Its 10+ integrated tools includes a robust template designer combining the power of Microsoft Word formatting, Excel formulas, and PowerPoint layout features.

The Professional edition is ideal for daily analytic tasks and enhancing your applications with highly functional integrated reporting. A comparison of the various edition features, including data access drivers, can be found here.

Key aspects of a sample report:

1 Embedded documents

2 Embedded arrays

3 Excel-like calculations

4 Custom graphics and charts

5 Retrieval Augmented Generation
(RAG)

6 Interactive elements

Benefits
Qarbine enhances your Azure CosmosDB and other modern data (NoSQL, graph, vector & even SQL) applications, integrates with Azure Open AI services, and leverages many Azure cloud services. It addresses analytic & reporting requirements for a diverse set of stakeholders ranging from developers, to analysts, end users, and corporate IT. Modern data & AI gives developers superpowers but are kryptonite for legacy tools. Why lose your investment in modern data by using tabular, legacy SQL centric tools? Qarbine saves everyone time and improves their decisions.

Qarbine’s extensive reporting suite:

Reduces demands on developers & analysts for reporting tasks

Rapidly delivers diverse analytic workflows

Enhances your application functionality

Captures team member expertise to share insights 24x7

Increases productivity with AI driven insights

Features
Qarbine is designed to leverage modern data features across diverse NoSQL, graph, vector, and even distributed SQL databases.

Create high quality analytic charts and reports with your modern data investments

Supports native queries and JSON data to increase your modern data ROI

Has over 10 integrated tools to improve productivity across all team members

Shared catalog enables insights and analysis authoring anytime and anywhere

Fully embeddable into applications for seamless interactive user experiences

Key Differences For You

Gain modern data analysis for the details behind your summary dashboards

Integrations with 15+ Generative AI services for vector search & AI/RAG insights

Garner praise instead of backlog to amplify your modern data and AI ROI

No insane flattening of JSON structures, ETL, or attempted SQL gymnastics

Avoid painful to manage per seat licenses through simple by the hour billing

How To Get Started
Instantly signup for a sandbox account at here.
Review the developer docs and CosmosDB MongoDB API oriented whitepaper.
Check out the videos on the top corner of this page.

Databases: MongoDB API, CosmosDB, AWS DocumentDB, SingleStore (Kai), AWS DynamoDB, MongoDB Atlas API, Couchbase, Pinecone, Milvus, Neo4J,AWS Neptune, Gremlin/Cypher, Weaviate, Qdrant, DataStax, Postgres, CockroachDB, MySQL, AWS Athena, TigerGraph, Fauna, LanceDB, Kinetica, FalkorDB, IBM Presto, DB2, StarTree, Oracle, Microsoft SQL, Filtered REST, Starburst (Trino), ScyllaDB, Cassandra, CosmosDB-Cassandra, AWS Keyspaces, Chroma, IBM Cloudant, Google Spanner, Google BigQuery, Databricks, Snowflake, Firebolt, Clickhouse, AWS Redshift.

AI Services: Anthropic, AWS Bedrock, Azure AI, Google AI, Hugging Face, OpenAI, Mistral, Cohere, Fireworks AI, Gradient, Jina AI, Nomic, Perplexity, Mixedbread, Portkey, Predibase, Together AI, Voyage AI, IBM Watson AI, DeepSeek AI, Upstage, Friendli, Anyscale, Octo AI.

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