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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Data Contract Editor is an online platform designed for the creation and management of data contracts in accordance with the Open Data Contract Standard. This tool simplifies the processes of creating, editing, viewing, and validating data contracts, particularly for those who find writing YAML cumbersome. It adheres to the ODCS, including compatibility with version 3.1.0, and offers users various methods to interact with the same contract. Users can utilize a Visual Editor for establishing data models and relationships through an intuitive graphical interface, a Form Editor that provides guided input for standard data contract attributes, as well as a YAML Editor that allows direct editing in YAML format, complete with code suggestions. Additionally, it features a live HTML preview, immediate validation feedback, linting capabilities, a diff view for comparing changes, and testing options to verify that data contracts align with actual data products. The application can be accessed directly through a web browser, initiated locally using npx datacontract-editor, edited for specific data contract files, or deployed within a Docker container, offering flexibility for users with different preferences. Overall, the Data Contract Editor enhances the efficiency of managing data contracts while catering to a variety of user needs and workflows.

Description

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
DataHub
Databricks
Docker
Flyte
HTML
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Slack
Snowflake
ZenML

Integrations

Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
DataHub
Databricks
Docker
Flyte
HTML
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Slack
Snowflake
ZenML

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Entropy Data

Country

Germany

Website

editor.datacontract.com

Vendor Details

Company Name

Great Expectations

Website

greatexpectations.io

Product Features

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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