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“It was just very easy. It was plug and play. It was a simple switch out, and we did not have any hiccups or any…

Alan Anolik Data Visualization Architect

When you look at the marketplace... [when] you talk to any of the people in the space, Simba is the answer if you want to…

Arsalan Tavakoli-Shiraji Customer Engagement Lead

Having other vendors such as Hortonworks and Databricks already using the Simba Spark driver ... made us confident that we could have a good partner…

Paul Ekeland Senior Director of Project Management for Big Data
WHAT IT DOES

Engineered for Reliable Enterprise Connectivity

Real Time Data Purple

Full SQL on Any Source

Run standard SQL against sources that do not natively support it, with the driver compensating for missing functions instead of failing the query.

Embedded Analytics Purple

Query Pushdown

Filters, joins, and aggregations push down to the source and run collaboratively between driver and source, so large workloads stay fast under real concurrency. 

 

Slow Work Purple

Schema Mapping

Reshape nested or semi-structured data into clean relational tables, ready for BI tools and analytics without custom engineering.

Drill Down Purple

Type Fidelity

Data types map correctly between mismatched source and client systems, so values arrive intact rather than silently coerced or truncated.

Scalability Purple

Metadata Exposure

Tables, fields, and relationships are exposed so BI tools and pipelines support drag-and-drop exploration and semantic models out of the box.

Automation Purple

Enterprise Security

Support for SSO, OAuth, Kerberos, and LDAP, with optional FIPS-compliant encryption for the strictest enterprise and regulated requirements.

Use Cases

Why You Can Do With Simba Drivers

Use Drivers to Connect to Your Tools

Connect your BI and ETL tools to the sources you run with production-grade drivers that install cleanly and hold up under load, no custom engineering required.

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Give Your Platform Customers Connectivity

Offer your customers a native way to connect popular BI tools to your platform. We build and maintain the driver for you, so your team carries none of the support load.

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Embed Connectivity in Your App

License and embed production-grade drivers to expand the connectivity your application offers, adding source coverage without building it yourself.

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Connectivity for the Sources That Matter

Production-grade ODBC and JDBC drivers covering enterprise databases, warehouses, cloud platforms, NoSQL stores, and APIs, each built and maintained by the team that co-created the ODBC standard. Browse the full catalog to confirm coverage for your sources.

Real-World Results

Proven Across the Most Demanding Data Environments

The connectivity behind the platforms enterprises rely on every day.

Databricks needed reliable, standards-based connectivity so their customers could connect the BI and analytics tools they already used. Simba provided the driver technology behind that connectivity, proven at scale across demanding data environments, and became the partner Databricks trusted for the Spark connectivity experience.

McKesson needed reliable connectivity for mission-critical healthcare data and could not afford disruption when switching drivers. The move to the Simba ODBC driver was plug and play, a simple switch with no hiccups and no delays, keeping critical data flowing without interruption.

Sisense wanted to give non-technical business users seamless access to complex, fast-changing data sources, without pulling its best engineers off the core product. Sisense embedded Simba’s ODBC connectors and used the Simba SDK to quickly build its own custom driver. Business users can now connect Sisense to sources like MongoDB and Google BigQuery and query billions of rows through SQL, with no code required.

Ready to See Simba Data Connectivity in Action?

Frequently Asked Questions

Data connectivity is the layer that lets applications and BI tools query data sources reliably. Drivers built on open standards like ODBC and JDBC translate between your tools and your databases, warehouses, cloud services, and APIs

Yes. Filters, joins, and aggregations push down to the source and run collaboratively between driver and source, so large workloads stay fast under real concurrency instead of dragging the source down. The same connectivity technology runs in the most demanding production data environments in the world.

Each driver is maintained by the team that co-created the ODBC standard, so when a source system releases an update, the driver is ready and issues are resolved by the people with the deepest knowledge of the standard. That is the difference from in-house or auto-generated drivers, which go stale the moment a source changes and leave your team owning the fix.

No. Direct data federation means your BI tools and AI systems query live data where it lives, rather than copying it or moving it through ETL pipelines that break when source systems change. That means fresher data, fewer points of failure, and no infrastructure debt from pipelines, which matters most in regulated environments where data movement is a compliance question.

Open standards mean anyone can build a driver. The difference shows in production: whether it performs under load, survives source-system updates, and comes with expert support. Free drivers are free until they break and your team owns the fix.

Enterprise databases, data warehouses, cloud platforms, NoSQL stores, and REST APIs. Each driver is built and maintained by the team that co-created the ODBC standard, rather than auto-generated, so coverage comes with depth and reliability on the sources that matter most rather than shallow support spread thin.

Yes. Drivers can be embedded into your application or offered to your platform’s customers, with licensing aligned to embedded and internal use cases. For custom needs, the Simba SDK and Managed Services build and maintain drivers for you, the same toolkit Simba’s own engineering team uses.

Simba competes on depth, not driver count. The connectivity technology most competitors license externally is developed and owned by Simba, which means deeper source access and faster resolution when a source system changes, rather than the shallow coverage that comes from racing to support as many sources as possible.