The Modern Data and AI Collaboration Suite™

Enhance developer productivity and application insights with analytics driven by your Generative AI and modern data investments.

Explore modern data using several native querying tools within the integrated suite.

Analyze complex JSON data easily using the comprehensive Template Designer.

Present detailed insights using publication quality and embeddable interactive web pages.

Collaborate through a shared catalog to leverage team skills 24×7.

Modern data increases developer productivity and innovation, but downstream data consumers, burdened with legacy SQL-centric tools, do not enjoy the same benefits. Instead, Qarbine provides an analytic suite purpose built for modern data and cloud services. Developers can deliver greater functionality using in-context analytics and everyone gains insights no matter their role or skills

Leverage popular leading edge AI technologies for vector search, Retrieval Augmented Generation (RAG), and “Ask AI” interactions. Let us know your preferences here.

Gain real-time insights with modern data in its native form. Avoid costly data movement and decisions based on stale data. Half of 2024 TWDI Research survey respondents stated 61%+ of time was spent on data integration, pipeline building and preparation. That’s crazy!

Questions? Simply contact [email protected]

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Uses Native
Database Queries

Handles Modern
Data Formats

Leverages Team
Member Skills

Improves User Insights
and Experience

Generative AI driven Analytics

Challenges with using Legacy
Tools with Modern Databases

Modern databases span numerous NoSQL, graph, vector and JSON aware “New SQL” databases. Attempting to use popular legacy tools built for SQL queries and tabular data results in a process that is:

Costly & Glitchy

Inflexible

Time Consuming

The richer your data structures, the more complex, error prone and costly it becomes to attempt SQL to access virtualized relational tables. The JSON capabilities of New SQL databases are completely lost as the data remains as simple text. Legacy SQL tools focus on summary visualization. This forces devevelopment teams to manually code ongoing detailed analysis requests.

The Qarbine Solution

Qarbine complements summary visualization tools such as Tableau, PowerBI, graph data notebooks, Neo4j’s Bloom, and MongoDB Charts. Qarbine is focused on the detailed analysis, formatting, and presentation of the details behind those pretty pictures. Qarbine’s many extension points even includes the embedding of graph data diagrams and MongoDB Charts for a much more informaed decisions.

Analytic Features

1 Embedded documents
2 Embedded arrays
3 Excel-like calculations
4 Custom graphics and charts
5 Business object functions
6 Interactive elements

Native Querying and
Data Structures
Improve BI Quality

Qarbine uses native querying to access the full power of your database and more efficiently retrieve data. By not having to rely on the SQL centric BI Connectors you avoid complex and contorted SQL. Qarbine naturally processes complex data structures supported by the New SQL and NoSQL databases, including embedded and nested documents and arrays.

Collaborative
Teams Get
Work Done

Qarbine promotes team productivity by separating data retrieval from analysis and formatting. IT teams define optimized retrievals that end users simply reference in analysis templates. End users don’t learn odd query languages against your production systems! Dev teams are freed up from manual BI tasks or formatting reports. It’s a more effective approach to “self-service” BI.

Embedded Analytics Makes
Developers and End Users
More Productive

Rather than being a BI silo, Qarbine can be embedded into enterprise applications to provide more seamless and productive workflows across applications and Qarbine generated web pages. The result is a single, immersive application. Each area simply links to the other without any context switching or complex BI silo navigation.

Finally, Reuse
your Application
Objects for BI

Unlike legacy SQL tools, Qarbine is able to leverage an enterprise’s massive investment in web application code. That code has been designed and tested so, why not reuse it for BI too? BI is a lot more than displaying raw database values on the screen. This code reuse significantly amplifies the ROI on that code, your data architecture, and for Qarbine itself.