Elementary

Elementary

Elementary Data
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About

Datagaps DataOps Suite is a comprehensive platform designed to automate and streamline data validation processes across the entire data lifecycle. It offers end-to-end testing solutions for ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Key features include automated data validation and cleansing, workflow automation, real-time monitoring and alerts, and advanced BI analytics tools. The suite supports a wide range of data sources, including relational databases, NoSQL databases, cloud platforms, and file-based systems, ensuring seamless integration and scalability. By leveraging AI-powered data quality assessments and customizable test cases, Datagaps DataOps Suite enhances data accuracy, consistency, and reliability, making it an essential tool for organizations aiming to optimize their data operations and achieve faster returns on data investments.

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 Not 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

Users interested in a powerful DataOps suite

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

No images available

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial 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

Datagaps
Founded: 2010
United States
www.datagaps.com

Company Information

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

Alternatives

Alternatives

DataBuck

DataBuck

FirstEigen

Categories

Automated Testing Supported
Data Observability Supported
Data Quality Supported
Data Validation Supported
DataOps Supported
ETL Supported

Categories

Integrations

AWS Marketplace Supported
Amazon Redshift Not Supported
Apache Airflow Not Supported
DataOps DataFlow Supported
Databricks Not Supported
Datagaps ETL Validator Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud BigQuery Not Supported
Looker Not Supported
Microsoft Teams Not Supported
Model Context Protocol (MCP) Not Supported
PagerDuty Not Supported
Slack Not Supported
Snowflake Not Supported
Tableau Not Supported
dbt Not Supported

Integrations

AWS Marketplace Not Supported
Amazon Redshift Supported
Apache Airflow Supported
DataOps DataFlow Not Supported
Databricks Supported
Datagaps ETL Validator Not Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
Looker Supported
Microsoft Teams Supported
Model Context Protocol (MCP) Supported
PagerDuty Supported
Slack Supported
Snowflake Supported
Tableau Supported
dbt Supported
Claim Datagaps DataOps Suite and update features and information
Claim Datagaps DataOps Suite and update features and information
Claim Elementary and update features and information
Claim Elementary and update features and information