Elementary

Elementary

Elementary Data
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About

DataKitchen is a DataOps software platform that helps organizations automate data quality testing, monitor data pipelines, and manage analytics workflows. Its product suite includes DataOps Data Quality TestGen, DataOps Process Observability, and DataOps Automation. TestGen automatically profiles databases, generates data quality tests, identifies anomalies, and monitors data reliability across existing data environments. DataOps Process Observability provides end-to-end visibility into data pipelines, datasets, and workflows to detect failures, delays, and performance bottlenecks. DataOps Automation enables teams to orchestrate data pipelines, manage development environments, automate deployments, and integrate testing into production workflows. The platform supports integrations with Snowflake, Databricks, BigQuery, Airflow, dbt, and other data technologies, with open-source and enterprise deployment options.

About

Elementary is a data observability and reliability platform for analytics and data engineering teams. It monitors data pipelines and warehouse assets, detects freshness, volume, schema and quality anomalies, and brings dbt and custom test results into a shared view. Teams can investigate incidents, trace impact through column-level lineage, review data health and performance, and manage asset descriptions, ownership and governance. Elementary Cloud adds dashboards, alert routing, collaboration, a catalog and AI-assisted workflows. An open-source self-hosted option supports code-first monitoring in the customer's environment. The platform connects warehouse, transformation, BI, orchestration, code and messaging tools. Its MCP server connects AI tools with Elementary data context. It serves data, analytics and platform teams, as well as business users who need to find, validate, monitor and understand data.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data engineers, analytics engineers, data scientists, data architects, DataOps teams, database administrators, business intelligence professionals, IT operations teams, and enterprises seeking automated data quality testing, pipeline observability, data workflow orchestration, and reliable analytics infrastructure

Audience

Data and analytics engineering teams, data platform teams, and business users responsible for data quality, reliability, governance, and discovery.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Elementary Cloud pricing is based on seats and environments. Scale includes up to 10 editor seats and 1,000 tables; Enterprise includes up to 20 editor seats, 40 viewer seats, and 3,000 tables; Unlimited includes unlimited seats and 3,000 tables. Additional monitored-table capacity and AI Layer credits incur extra charges.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

DataKitchen
Founded: 2013
United States
datakitchen.io

Company Information

Elementary Data
Founded: 2021
Israel
www.elementary-data.com

Alternatives

Alternatives

Categories

Automated Testing Supported
Data Observability Supported
Data Pipeline Supported
Data Quality Supported
DataOps Supported

Categories

Integrations

GitHub Supported
Google Cloud BigQuery Supported
Slack Supported
Snowflake Supported
Amazon Redshift Not Supported
Apache Airflow Not Supported
Databricks Not Supported
Docker Supported
Git Supported
GitLab Not Supported
Jenkins Supported
Kubernetes Supported
Looker Not Supported
Microsoft Teams Not Supported
Model Context Protocol (MCP) Not Supported
PagerDuty Not Supported
PostgreSQL Supported
SQL Server Supported
Tableau Not Supported
dbt Not Supported

Integrations

GitHub Supported
Google Cloud BigQuery Supported
Slack Supported
Snowflake Supported
Amazon Redshift Supported
Apache Airflow Supported
Databricks Supported
Docker Not Supported
Git Not Supported
GitLab Supported
Jenkins Not Supported
Kubernetes Not Supported
Looker Supported
Microsoft Teams Supported
Model Context Protocol (MCP) Supported
PagerDuty Supported
PostgreSQL Not Supported
SQL Server Not Supported
Tableau Supported
dbt Supported
Claim DataKitchen DataOps Automation and update features and information
Claim DataKitchen DataOps Automation and update features and information
Claim Elementary and update features and information
Claim Elementary and update features and information