Elementary

Elementary

Elementary Data
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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

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 observability platform that helps companies prevent data catastrophes

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 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

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

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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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

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

Company Information

Datafold
United States
www.datafold.com

Company Information

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

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DataBuck

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Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

Integrations

Amazon Redshift Supported
Apache Airflow Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
PagerDuty Supported
Slack Supported
Snowflake Supported
dbt Supported
Amundsen Supported
Azure Databricks Supported
DataHub Supported
Databricks Not Supported
Looker Not Supported
Microsoft Teams Not Supported
Model Context Protocol (MCP) Not Supported
PostgreSQL Supported
Secoda Supported
Tableau Not Supported

Integrations

Amazon Redshift Supported
Apache Airflow Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
PagerDuty Supported
Slack Supported
Snowflake Supported
dbt Supported
Amundsen Not Supported
Azure Databricks Not Supported
DataHub Not Supported
Databricks Supported
Looker Supported
Microsoft Teams Supported
Model Context Protocol (MCP) Supported
PostgreSQL Not Supported
Secoda Not Supported
Tableau Supported
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