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What is TopBraid?

Graphs serve as one of the most versatile formal data structures, enabling the clear mapping of different data formats while effectively depicting the explicit connections between items, thereby promoting the integration of new data points and the examination of their relationships. The semantics of the data are well-articulated, utilizing formal techniques for both inference and validation. Acting as a self-descriptive data model, knowledge graphs not only facilitate data validation but also yield valuable insights concerning necessary modifications to meet data model standards. The importance of the data is inherently captured within the graph, often illustrated through ontologies or semantic structures, enhancing their self-descriptive quality. Knowledge graphs are specifically equipped to manage a diverse array of data and metadata, evolving and adapting over time similar to living entities. This characteristic makes them particularly effective for navigating and interpreting complex datasets in ever-changing environments. Ultimately, the dynamic nature of knowledge graphs underscores their critical role in modern data management strategies.

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.

Media

Media

Integrations Supported

Acryl Data
Amazon Redshift
Amazon S3
Apache Spark
Astro
Dagster+
DataHub
Databricks Data Intelligence Platform
Flyte
Flyte
Jupyter Notebook
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake
ZenML

Integrations Supported

Acryl Data
Amazon Redshift
Amazon S3
Apache Spark
Astro
Dagster+
DataHub
Databricks Data Intelligence Platform
Flyte
Flyte
Jupyter Notebook
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake
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

TopQuadrant

Company Location

United States

Company Website

www.topquadrant.com

Company Facts

Organization Name

Great Expectations

Company Website

greatexpectations.io

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

Data Quality

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

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