From verifying quality of incoming data to improving existing data quality, open-source data quality solutions can benefit your organization.

Explore the top data quality tools and software that can help your organization ensure accurate, reliable and consistent data for better decision-making.

Superconductive — a startup best known for creating and maintaining the Great Expectations open source data quality tool — has raised $40 million in a Series B round of funding.

The 10 coolest open-source software tools in 2024 include tools for developing AI applications, implementing zero trust networks and managing large volumes of data.

A new survey of 500 data professionals from open source data quality tool Great Expectations revealed that 77% have data quality issues, and 91% report they are impacting their company’s performance.

Picking the right model and infusing it with high-quality corporate data are critical decisions, dependent on what you want to accomplish.

Unstructured text and data are like gold for business applications and the company bottom line, but where to start? Here are three tools worth a look.

Open source data storage offers a great deal of flexibility, but unlocking its benefits will require strong technical resources to meet requirements such as stability, high availability and security.

Coverity, a company specializing in software quality and security testing solutions, finds that open source programs tend to have fewer errors than proprietary programs.