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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 Crux?

Explore why top companies are choosing the Crux external data automation platform to improve their integration, transformation, and monitoring of external data without hiring extra staff. This innovative cloud-native technology optimizes the ingestion, preparation, monitoring, and delivery of any external dataset in a streamlined manner. As a result, you gain access to high-quality data exactly when and where you need it, presented in the right format. Take advantage of features like automated schema detection, inferred delivery schedules, and lifecycle management to quickly develop pipelines from a variety of external data sources. In addition, enhance data discoverability within your organization through a private catalog that connects and aligns different data products. You can also enrich, validate, and transform any dataset for seamless integration with other data sources, significantly accelerating your analytics processes. With these robust capabilities, your organization can maximize its data assets, facilitating informed decision-making and driving strategic growth while remaining agile in a competitive landscape. Ultimately, leveraging the Crux platform can lead to transformative insights that empower your organization’s future.

Media

Media

Integrations Supported

Amazon S3
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Astro
Dagster+
DataHub
Databricks Data Intelligence Platform
Flyte
Google Cloud Platform
Microsoft Azure
PostgreSQL
Prefect
SQL
SQL Server
Secoda
Slack
ZenML

Integrations Supported

Amazon S3
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Astro
Dagster+
DataHub
Databricks Data Intelligence Platform
Flyte
Google Cloud Platform
Microsoft Azure
PostgreSQL
Prefect
SQL
SQL Server
Secoda
Slack
ZenML

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

Crux

Date Founded

2017

Company Location

United States

Company Website

www.cruxdata.com

Categories and Features

Data Quality

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

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Quality

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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