Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • Code-Cube.io Reviews & Ratings
    7 Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • dbt Reviews & Ratings
    239 Ratings
    Company Website
  • Zil Money Reviews & Ratings
    605 Ratings
    Company Website
  • Semarchy xDM Reviews & Ratings
    64 Ratings
    Company Website
  • D&B Connect Reviews & Ratings
    189 Ratings
    Company Website
  • Plauti Reviews & Ratings
    122 Ratings
    Company Website
  • Dynamo Software Reviews & Ratings
    68 Ratings
    Company Website

What is Great Expectations?

Great Expectations is designed as an open standard that promotes improved data quality through collaboration. This tool aids data teams in overcoming challenges in their pipelines by facilitating efficient data testing, thorough documentation, and detailed profiling. For the best experience, it is recommended to implement it within a virtual environment. Those who are not well-versed in pip, virtual environments, notebooks, or git will find the Supporting resources helpful for their learning. Many leading companies have adopted Great Expectations to enhance their operations. We invite you to explore some of our case studies that showcase how different organizations have successfully incorporated Great Expectations into their data frameworks. Moreover, Great Expectations Cloud offers a fully managed Software as a Service (SaaS) solution, and we are actively inviting new private alpha members to join this exciting initiative. These alpha members not only gain early access to new features but also have the chance to offer feedback that will influence the product's future direction. This collaborative effort ensures that the platform evolves in a way that truly meets the needs and expectations of its users while maintaining a strong focus on continuous improvement.

What is DataTrust?

DataTrust is engineered to accelerate testing phases and reduce delivery expenses by enabling continuous integration and continuous deployment (CI/CD) of data. It offers an all-encompassing toolkit for data observability, validation, and reconciliation at a large scale, all without requiring any coding skills, thanks to its intuitive interface. Users can easily compare data, validate its accuracy, and conduct reconciliations using customizable scenarios that can be reused. The platform streamlines testing processes, automatically generating alerts when issues arise. It features dynamic executive reports that provide insights into various quality metrics, as well as tailored drill-down reports with filtering options. Furthermore, it allows for the comparison of row counts across different schema levels and multiple tables, in addition to enabling checksum data comparisons for enhanced accuracy. The quick generation of business rules through machine learning contributes to its adaptability, giving users the flexibility to accept, modify, or reject rules according to their needs. Additionally, it supports the integration of data from various sources, ensuring a comprehensive set of tools for analyzing both source and target datasets. Overall, DataTrust is not only a powerful solution for improving data management practices across various organizations but also a versatile platform that adapts to the changing needs of its users.

Media

Media

Integrations Supported

Amazon Redshift
Slack
Snowflake
Acryl Data
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Dagster
DataHub
Flyte
Google Cloud Platform
Jupyter Notebook
Microsoft Power BI
Microsoft Teams
PostgreSQL
Prefect
SAP Store
SQL Server
Secoda
Tableau

Integrations Supported

Amazon Redshift
Slack
Snowflake
Acryl Data
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Dagster
DataHub
Flyte
Google Cloud Platform
Jupyter Notebook
Microsoft Power BI
Microsoft Teams
PostgreSQL
Prefect
SAP Store
SQL Server
Secoda
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Great Expectations

Company Website

greatexpectations.io

Company Facts

Organization Name

RightData

Date Founded

2016

Company Location

United States

Company Website

www.getrightdata.com/product/datatrust

Categories and Features

Data Quality

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

Categories and Features

Data Quality

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

Popular Alternatives

DataBuck Reviews & Ratings

DataBuck

FirstEigen

Popular Alternatives