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A multi-platform embedded IDE with built-in compilers, a debugger and a simulator.

An Arm firmware IDE and C/C++ toolchain with an optimizing compiler, C-SPY debugger, and embedded analysis tools.

Develop resource-conscious firmware for embedded boards with a real-time operating system and Zephyr SDK.

Use a small Java SQL database in embedded, in-memory, or client/server mode through JDBC.

A cross-platform IDE for building Qt applications for desktop, embedded, and mobile targets.

Arm's embedded development suite combines µVision, Keil Studio, compilers and device software packs.

Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.

Use a cross-platform SQL database engine that ranges from embedded and single-user use to multi-client deployments.

Design formatted reports and deliver embedded reporting applications.

Embed self-service analysis, custom dashboards and formatted reports in your software.

An Eclipse-based C/C++ IDE for building, running, debugging, and profiling software on QNX systems.

Build investment applications with separate data and brokerage APIs

A C and C++ IDE that connects project editing to your compilers, build system, debugger, and tests.

AI that explains metric shifts and turns them into decisions

Reuse shared business metrics across dashboards and embedded analytics.

Provision managed SQLite-compatible databases for apps that need isolated data stores and cloud synchronization.

Agentic BI platform with a universal semantic layer

A Microchip-focused IDE for organizing firmware projects, building target code and debugging microcontrollers.

Build interactive analytical boards from supplied data and embed them in a broader reporting experience.

Build self-hosted dashboards and reports on modeled business data, with server-based licensing.

ST's C/C++ development environment for building and debugging STM32 firmware on desktop or VS Code workflows.

A Java SQL database that can run in your application or as a separate server.

Query connected SQL, NoSQL and API data through shared analytical datasets and dashboards.

Run analytical SQL in an embedded database from a local process or Python program.