JetBrains is present in 6 markets with 12 products. JetBrains has 446 reviews with an overall average rating of 4.5.
AI Code Assistants
Gartner defines AI code assistants as tools that assist in generating and analyzing software code and configuration. The assistants use foundation models such as large language models (LLMs) that have been optionally fine-tuned for code, or program-understanding technologies, or a combination of both. Software developers prompt the code assistants to generate, analyze, debug, fix, and refactor code, to create documentation, and to translate code between languages. Code assistants integrate into developer tools like code editors, command-line terminals and chat interfaces. Some can be customized to an organization’s specific codebase and documentation. AI code assistants can enhance a software developer’s experience by boosting efficiency, accelerating application development, minimizing cognitive overload, amplifying problem-solving skills, accelerating learning pace, fostering creativity and maintaining state of flow.
JetBrains has 1 product in AI Code Assistants market
Application Development, Integration and Management - Others
Reviews for 'Application Development, Integration and Management - Others'
JetBrains has 1 product in Application Development, Integration and Management - Others market
Data Science and Machine Learning Platforms
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering. Data science and machine learning (DSML) platforms are designed to allow a broad range of users to develop and apply a comprehensive set of predictive and prescriptive analytical techniques. Leveraging data from distributed sources, cutting-edge user experience, and native machine learning and generative AI (GenAI) capabilities, these platforms help to augment and automate decision making across an enterprise. They provide a range of proprietary and open-source tools to enable data scientists and domain experts to find patterns in data that can be used to forecast financial metrics, understand customer behavior, predict supply and demand, and many other use cases. Models can be built on all types of data, including tabular, images, video and text for applications that require computer vision or natural language processing.
JetBrains has 1 product in Data Science and Machine Learning Platforms market
DevOps Platforms
Gartner defines DevOps platforms as those that provide fully integrated 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 and include aspects such as versioning, testing, security, documentation and compliance. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics. DevOps platforms simplify the creation, maintenance and management of the components required for the delivery of modern software applications. Platforms create common workflows and data models, simplify user access, and provide a consistent user experience (UX) to reduce cognitive load. They lead to improved visibility, auditability and traceability into the software development value stream. This end-to-end view encourages a systems-thinking mindset and accelerates feedback loops.
JetBrains has 1 product in DevOps Platforms market
Integrated Development Environment (IDE) Software
Integrated Development Environment software provides an interface to write code facilitating application development. IDEs provide programmers with tools to design, build, test, and debug software programs in a graphical user interface (GUI). The user can write and edit source code in the code editor. The compiler in the IDEs translates the source code into an executable language for the computer. The debugger helps examine the code to detect and solve any issues or bugs. Some of the IDEs have advanced features like refactoring, code search, data visualization, continuous integration and continuous deployment (CI/CD) tools.
JetBrains has 7 products in Integrated Development Environment (IDE) Software market
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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