Democratize data with database APIs
One query interface across your databases means a team asking for data gets an endpoint rather than a project, and the access they get is scoped to what they are allowed to see.
Secure data, simple access
Control the rate at which APIs are accessed, optimizing performance and enhancing security. Data Insider uses Transport Layer Security for API access, ensuring data remains secure during transit, while its integrated API gateway simplifies security and throttling.
With KeyCloak integration, Data Insider supports various authentication and authorization methods, from Token-based to OAuth-based, making data access identity-driven and secure.
Data Insider: Enterprise Data as an API Platform
Turn enterprise data into secure REST APIs, MCP servers, and AI-ready services with no-code discovery, governance, and lifecycle management.
Cloud native & Kubernetes ready
Data Insider deploys onto any Kubernetes environment you already run. Scaling it is a matter of pods, and it sits alongside the rest of the platform rather than needing its own footprint.
The service runs cloud-native. Adding a source, or scaling a busy API because one consumer got popular, is a configuration change rather than a re-platforming exercise.
Observability and API versioning
You can see who is calling each API, how often, and what it costs you. Live monitoring, custom alerts, usage trends, and per-consumer behaviour, which together answer the question of which APIs are worth keeping.
Versioning lets a new release run alongside the old one. Consuming teams migrate on their own schedule, which is the only way that migration ever actually happens.
Rich database support & Distributed query engine
It reads from MySQL, MongoDB, Redis, and other SQL and NoSQL stores, so the API layer sits on the databases you already run.
The inbuilt distributed query engine in Data Insider enables high-performance queries over databases. Its support for both static and dynamic queries facilitates businesses in catering data requirements which needs repeated extraction of same data and data requirements that needs to pass dynamic conditions to query repectively.
Works with the rest of the platform.
Dashboards and reports built with a visual query builder, delivered on a schedule by email, SFTP, or API, and governed by the same permissions as everything else.
Read moreMove data in at any cadence: scheduled batch, on demand, or change data capture that streams every insert and update as it happens.
Read moreConnect any two systems without a custom project. Build the flow on a visual canvas, test it before it goes live, and run it with approvals attached.
Read moreTurn a database into an API your teams can actually use.
See Data Insider expose your own databases as governed, versioned REST APIs, live, on your stack.