Self-Service Data Prep and Blend
Built for Data Teams.

Codify your data processes into repeatable workflows
saving the average user 7 hours a week.

Table.replace

Table.fill_empty

Table.fill_nothing

Table.write

Table.to_text

Table.is_trivial_query

Table.updated_context_and_columns

Table.updated_context

Table.updated_columns

Table.column_naming_helper

Table.columns_helper

Table.make_column

Table.info

Table.to_sql

Table.to_select_query

Table.read

Table.row_count

Table.filter_blank_rows

Table.cast

Table.parse_to_columns

Table.tokenize_to_rows

Table.tokenize_to_columns

Table.split_to_rows

Table.split_to_columns

Table.parse

Table.cross_tab

Table.transpose

Table.aggregate

Table.union

Table.zip

Table.cross_join

Table.join_or_cross_join

Table.join

Table.distinct

Table.get_primary_key

Table.default_ordering

Table.order_by

Table.last_row

Table.second_row

Table.first_row

Table.rows

Table.column_names

Table.columns

Table.make_constant_column

Table.evaluate_expression

Table.set

Table.limit

Table.add_row_number

Table.drop

Table.take

Table.filter_by_expression

Table.filter

Table.resolve

Table.use_first_row_as_names

Table.rename_columns

Table.sort_columns

Table.reorder_columns

Table.remove_blank_columns

Table.select_blank_columns

Table.remove_columns

Table.select_columns

Table.column_count

Table.last_column

Table.second_column

Table.first_column

Table.get

Table.at

Table.to_js_object

Table.print

Table.display

Table.filter

Data.read

Table.replace

Table.fill_empty

Table.fill_nothing

Table.write

Table.to_text

Table.is_trivial_query

Table.updated_context_and_columns

Table.updated_context

Table.updated_columns

Table.column_naming_helper

Table.columns_helper

Table.make_column

Table.info

Table.to_sql

Table.to_select_query

Table.read

Table.row_count

Table.filter_blank_rows

Table.cast

Table.parse_to_columns

Table.tokenize_to_rows

Table.tokenize_to_columns

Table.split_to_rows

Table.split_to_columns

Table.parse

Table.cross_tab

Table.transpose

Table.aggregate

Table.union

Table.zip

Table.cross_join

Table.join_or_cross_join

Table.join

Table.distinct

Table.get_primary_key

Table.default_ordering

Table.order_by

Table.last_row

Table.second_row

Table.first_row

Table.rows

Table.column_names

Table.columns

Table.make_constant_column

Table.evaluate_expression

Table.set

Table.limit

Table.add_row_number

Table.drop

Table.take

Table.filter_by_expression

Table.filter

Table.resolve

Table.use_first_row_as_names

Table.rename_columns

Table.sort_columns

Table.reorder_columns

Table.remove_blank_columns

Table.select_blank_columns

Table.remove_columns

Table.select_columns

Table.column_count

Table.last_column

Table.second_column

Table.first_column

Table.get

Table.at

Table.to_js_object

Table.print

Table.display

Table.filter

Data.read

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

with

on

[]

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

set

"radius"

expr

value

"[value] / max([value])"

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

set

"opacity"

expr

value

"0.1 + (max([time]) - [time]).ms / 1000"

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

""

JSON

format

JSON

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

Type to search․ To use Data Co–Pilot, type '\' or hold enter to speak․

""

infer

format

infer

Catalog

Catalog for workflows and data, no matter where they reside.

Everyone has access to the right data and workflows. Tag, document, search, and discover data based on its format, usage, structure, and location.

Data Links.

Shortcuts to files, databases, queries and APIs. Update data sources without editing your workflows. Save time and reduce the risk of using last month's data. Update the data link with current file or connection string information and all workflows that reference the data link now point to the current data.

Version history for all!

Workflows, data files and data links. Versioned and auto-saved every time. Never lose your work. Make updates without worry because you can always restore an older version.

coming soon

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.

Data Links can store encrypted credentialsto shield against social engineering and usage ofrecycled or default passwords, the most common causes of data breaches.

Comprehensive access and usage logging.

User activity is logged and searchable, empowering governance.

Prepare

Ingest structured and unstructured data.

Read and write data from structured sources such as Snowflake, PostgreSQL, SQL Server, Excel, Tableau, and more.

Read and write data from unstructured sources such as files and APIs in various formats, including text, JSON and XML.

Clean and reshape. Ensure data quality.

Address missing values, correct errors, and reshape data by transforming, combining, aggregating and filtering.

Blend and process data in‑database and in‑memory.

Build locally with sample data files and promote to your production environment (such as Snowflake) using the same easy to use components.

Analyze

Goodbye Unexplainable Workflows.

Full configuration is visible on every component. Nothing hidden behind icons.

Live, interactive data processing.

Change parameters, see results live. Now there is no need to rerun the entire workflow when adding a new component, speeding your time to insight.

Integrated workflow documentation

Enables you to recall what you have done, and others in the organization to interpret what you have built. Since it is integrated as part of the workflow, version history is built in!

Cloud & Desktop.

You choose. Same Experience!. Windows, Mac, Linux or in a browser. Users have the freedom and flexibilty to work in the way they want.

Explore your data without accidental data overwrites.

As you develop your workflow, data is written to temporary location, so you never overwrite your production data by mistake. You can also define multiple lifecycle environments, such as development and production, for every data link.

node1 = 
shop_locations_parsed
node2 = 
shops_revenue_by_day day=(Equal "2023-10-29")
node3 = 
join node2 on=[]
node4 = 
ai_generated_fn_1 node3
node5 = 
Data.read "customers_opinions" format=JSON
node6 = 
`py import tensorflow as tf
embedding = "https://tfhub.dev/google/nnlm-en-dim50/2"
model = tf.keras.Sequential()
model.add(hub.KerasLayer(embedding, dtype = tf.string))
# ...
rating, confidence = [], []
df = args[0].copy()
for row in df.rows():
    result = model.predict(row["opinion"])
    rating.append(result.rating)
    confidence.append(result.confidence)
df.insert(1, "rating", rating)
df.insert(2, "confidence", confidence)
return df`
node7 = 
Data.write "customers_opinions_with_ratings" format=Infer

No-code or full-code.

You choose. Same experience! Users don't need to be a programmer to use Enso, but developers will love the ability to create and edit the code directly. Workflows are stored in human readable plain text, simplifying auditability.

Deploy

Schedule and monitor workflows.

No expensive add-on 'Server' license required.. Easy time-based scheduling of workflows in the Enso Cloud.

coming soon

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.

Wojciech Danilo
Founder, Chief Executive Officer
Functional programming specialist. 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.
Sylwia Brodacka
Founder, Chief Operations Officer
Scientist. Used to design nano multilayered materials to build rockets. Also, seasoned Haskell and Python developer.
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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