JetBrains is present in 7 markets with 14 products. JetBrains has 757 reviews with an overall average rating of 4.5.
AI Code Assistants (Transitioning to AI Coding Agents)
Gartner defines AI code assistants as tools that generate and analyze software code and configuration. They use foundation models like LLMs, program-understanding technology, or both. Developers engage with these assistants to generate, analyze, debug, test, fix, refactor code, search dependencies, update libraries, create documentation, understand code, upgrade versions, translate languages and review commits. They help developers learn and explore codebases and access related information, such as frameworks and tools. AI code assistants integrate with developer environments, code editors, command-line terminals, chat interfaces, project management tools, monitoring, logging and deployment tools. Some are customized to an organization’s specific codebase and documentation. AI code assistants enhance software developers’ experience by boosting their efficiency, accelerating application development, minimizing cognitive overload, amplifying their problem-solving skills, enabling faster learning, fostering creativity and maintaining their state of flow.
JetBrains has 1 product in AI Code Assistants (Transitioning to AI Coding Agents) market
Application Development
Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, and continuous integration and delivery.
JetBrains has 1 product in Application Development market
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
JetBrains has 1 product in Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning) market
DevOps Platforms (Transitioning to DevSecOps Platforms)
Gartner defines DevOps platforms as those that provide fully integrated and orchestrated capabilities to enable continuous delivery of software using agile and DevOps practices. The capabilities span the development and delivery life cycle built around the continuous integration/continuous delivery (CI/CD) pipeline, including planning, creation, artifact management, security, quality engineering, change management, compliance, environment management, deployment and monitoring. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics. They are delivered primarily as cloud-hosted services with some options for on-premises deployment. DevOps platforms simplify the creation, maintenance and management of the components required for the delivery of various types of modern software. Platforms create common workflows and data models, simplify user access, provide production-like development and test environments, and provide a consistent user experience (UX) to reduce cognitive load. They lead to improved visibility, auditability and traceability for the software delivery value stream. This end-to-end view encourages a systems-thinking mindset and accelerates feedback loops. Organizations use DevOps platforms to minimize tool friction resulting from complex toolchains, manual handoffs and lack of consistent visibility throughout the software development life cycle (SDLC). This enables product teams to deliver faster customer value without compromising quality. The DevOps platforms market reflects the consolidation of technologies across development, security, infrastructure and operations to streamline software delivery.
JetBrains has 1 product in DevOps Platforms (Transitioning to DevSecOps Platforms) market
Integrated Development Environment (IDE) Software
Integrated Development Environment (IDE) software provides a unified interface to write, test, and debug code efficiently. It typically includes a source code editor, compiler or interpreter, debugger, and build tools, all within a graphical user interface (GUI) that simplifies navigation and development workflows. Most IDEs also support features like intelligent code completion, syntax highlighting, version control integration, and project management tools. By offering everything in one place, IDEs reduce setup time, minimize context switching, and help developers detect and fix errors quickly. This results in faster, more organized, and more accurate software development. IDEs are widely used by programmers, software developers, data analysts, and engineers working across various programming languages and platforms, from web and mobile apps to enterprise systems.
JetBrains has 8 products in Integrated Development Environment (IDE) Software market
- 6 more products
Mobile Development Frameworks
Mobile development framework refers to a preestablished set of tools, libraries and components designed to facilitate the creation of mobile and/or multi-experience applications. These frameworks provide developers with a structured environment and standardized methodologies for building platform-native and cross-platform apps which run on operating systems such as iOS and Android. They typically include features for user interface (UI) design, data management and device compatibility, streamlining the development process and enabling faster deployment of mobile apps. Mobile development frameworks streamline the app creation process by providing software development kits (SDKs) consisting of prewritten code libraries and tools, reducing development time and resources. The majority of them offer cross-platform compatibility, allowing businesses to deploy apps on multiple platforms using a single language with minimal rewrites, thus saving costs and enabling a wider audience reach. By ensuring consistent user experiences on mobile devices and platforms, mobile development frameworks enhance brand identity. Additionally, they support scalability, enabling businesses to accommodate growing user bases and evolving needs without major overhauls. Mobile development frameworks provide access to a variety of device features and integrations, such as push notifications and analytics, enriching app functionality and enhancing user engagement. Leveraging community support and ecosystems, organizations can troubleshoot issues, access resources and stay updated with industry best practices, further optimizing app development efforts. Overall, mobile development frameworks address an enterprise’s need for efficient, cost-effective and scalable mobile app development, contributing to faster time to market, a wider audience reach and enhanced user experience (UX).
JetBrains has 1 product in Mobile Development Frameworks market
Workstream Collaboration
The workstream collaboration (WSC) market consists of products that deliver a conversational workspace based on a persistent group chat. Products in this market are primarily used to organize, coordinate, and execute outcome-driven teamwork such as that associated with the project- or process-related activities. Secondary uses can include ad hoc collaboration and community discussions.
JetBrains has 1 product in Workstream Collaboration market