Apache Texera (Incubating)

Conduct data science through AI agents using natural language. Texera lets you build, refine, and execute analytical workflows conversationally — no coding required.

Build end-to-end data science workflows through an intuitive graphical interface. Drag-and-drop operators, connect them visually, and inspect results as you go.

Collaborate on workflows like Google Docs, but for data science. Multiple users can co-edit workflows and share executions in real time within Texera.

Process large volumes of data with Texera's parallel backend engine. Designed for high-performance, scalable execution across big-data workloads.

Texera's workflow runtime is language-agnostic, with native support for Python and Java. Extend pipelines with user-defined functions in your language of choice.

Separation of compute and storage enables flexible cloud deployment. Scale Texera from a laptop to the cloud as your data ecosystem grows.

Debug workflows interactively at runtime. Inspect intermediate results, set breakpoints, and iterate on your pipeline without restarting from scratch.

Conduct data science through AI agents using natural language. Texera lets you build, refine, and execute analytical workflows conversationally — no coding required.

Build end-to-end data science workflows through an intuitive graphical interface. Drag-and-drop operators, connect them visually, and inspect results as you go.

Collaborate on workflows like Google Docs, but for data science. Multiple users can co-edit workflows and share executions in real time within Texera.

Process large volumes of data with Texera's parallel backend engine. Designed for high-performance, scalable execution across big-data workloads.

Texera's workflow runtime is language-agnostic, with native support for Python and Java. Extend pipelines with user-defined functions in your language of choice.

Separation of compute and storage enables flexible cloud deployment. Scale Texera from a laptop to the cloud as your data ecosystem grows.

Debug workflows interactively at runtime. Inspect intermediate results, set breakpoints, and iterate on your pipeline without restarting from scratch.

Conduct data science through AI agents using natural language. Texera lets you build, refine, and execute analytical workflows conversationally — no coding required.

Build end-to-end data science workflows through an intuitive graphical interface. Drag-and-drop operators, connect them visually, and inspect results as you go.

Collaborate on workflows like Google Docs, but for data science. Multiple users can co-edit workflows and share executions in real time within Texera.

Process large volumes of data with Texera's parallel backend engine. Designed for high-performance, scalable execution across big-data workloads.

Texera's workflow runtime is language-agnostic, with native support for Python and Java. Extend pipelines with user-defined functions in your language of choice.

Separation of compute and storage enables flexible cloud deployment. Scale Texera from a laptop to the cloud as your data ecosystem grows.

Debug workflows interactively at runtime. Inspect intermediate results, set breakpoints, and iterate on your pipeline without restarting from scratch.