analysts focus on What They Love.
Catalog for workflows and data, no matter where they reside.
No data lake required. Tag, document, search, and discover data based on its format, usage, structure, and location.Automatic lineage.
Enso traces your workflows providing you with automatic dependency tracking and column-level data lineage.Data Links.
Versioned proxies for files, databases, and APIs, allowing data redirection without workflow interruption. The data schema is inferred based on use within workflows, ensuring uninterrupted data flow, whether it's a CSV on SQL today or a Salesforce query tomorrow.Unified data security and classification.
Data Links sharing operates at a granular level, from complete datasets to single query results, and can be based on classification, such as importance or risk level.Comprehensive access and entitlements audit.
All user activity is logged, tagged, and searchable, including permitted and denied data access and modifications. In case of an incorrect update or a data leak, you can easily trace its source or revert it to previous version.Ingest structured and unstructured data.
Read and write structured data to and from any common database, including Postgresql and SQL Server, and popular formats, such as Excel, Tableau, and more.Read and write unstructured data to and from files and APIs in various formats, including text, ASCII, JSON, XML, and more.
Clean and reshape. Ensure data quality.
Address missing values, correct errors, and reshape data by transforming, combining, and filtering.Blend and process data in‑database and in‑memory.
No need to centralize data in a data lake. If data starts in a database, subsequent components run in-database, as far as possible. Otherwise, data is processed in-memory.Goodbye Unexplainable Workflows
Every parameter is visible on every component. No need to click on every icon to understand how it is configured.Live, interactive data processing.
Change parameters, see results live. Switch between built-in and third-party visualizations to find the best data exploration perspective. Selection is preserved, so you can understand data relations with ease.Build and share custom components.
Create and share custom components effortlessly by collapsing graphs, promoting reusable best practices across your organization.Mix Enso, Python, Java, and JavaScript.
Enso compiles all languages to a common representation with a unified memory model. It lets you call methods and pass arbitrary values between them with no wrappers and close-to-zero runtime overhead.Explore your data without accidental data overwrites.
In exploratory lifecycle mode, data is written to temporary location, so you never overwrite your production data by accident. You can also define multiple lifecycle environments, such as development and production, for every Data Link.Switch from graph to code and back.
Under the hood, graphs are code. You can edit this code, and graphs will be updated. Enso is both a powerful data processing environment and an expressive, fast programming language. You can use it across the application, from creating your own data types, to scripting values of widgets.Schedule and monitor workflows.
Easily schedule recurring, time-based, or dynamic interval workflows. Trigger workflows automatically for seamless adaptability.Expose workflows as REST APIs.
Synchronously or asynchronously call a workflow with dynamic parameters, returning any result.Meet our leadership
We are creating the future of data analytics on the desktop and in the cloud.
Join us on this journey.
Sylwia Brodacka
Founder, Chief Operations Officer
Scientist. Used to design nano multilayered materials to build rockets. Also, seasoned Haskell and Python developer.
Wojciech Danilo
Founder, Chief Executive Officer
Functional programming specialist, Haskeller. Founder of Flowbox, image processing tool powering A-titled Hollywood movies. Founder of Coddee, delivering railroad simulators for New York Air Brake. Passionate about visual programming, aesthetics, and ergonomics.
James Dunkerley
Chief Technology Officer
A hands-on technical architect and development lead with over 15 years of developing and building cloud-based data platforms and associated tools within the UK public sector and in real-time quantitative financial service environments. Highly experienced with data analytics tools, former Alteryx ACE.
Ned Harding
Chief Product Officer
Co-founder and former CTO of Alteryx, has shaped the self-service data analytics industry for over 20 years. His innovations have scaled to serve hundreds of thousands of users globally, driving widespread transformation in data technology.
Adam Riley
Director of Software Engineering
Ex-Principal Software Engineer at Alteryx where he developed the massively multi-threaded AMP engine. Over 20 years of experience in the data analytics industry working for Alteryx for over 13 years from a small start-up to the global company it now is.
Steve Walden
Chief Revenue Officer
Ex-SVP Channels & Alliances at Alteryx. Led a 20-person global alliance and channel team in addition to a direct sales teams in Latin America and APAC and regional sales leaders in Latin America, APAC, and ANZ.
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