Buyers Guides for DataOps

2023 Software Provider and Product Assessment

Data Operations (DataOps) is a methodology focused on the delivery of agile business intelligence (BI) and data science through the automation and orchestration of data integration and processing pipelines, incorporating improved data reliability and integrity via data monitoring and observability. DataOps has been part of the lexicon of the data market for almost a decade and takes inspiration from DevOps, which describes a set of tools, practices and philosophy used to support the continuous delivery of software applications in the face of constant changes.

The Buyers Guides for DataOps evaluated software providers across four categories and produced a separate Buyers Guide and research for each to help best understand, assess, optimize and select software providers.

• The DataOps category focused on the delivery of agile business intelligence (BI) and data science through the automation and orchestration of data integration and processing pipelines, incorporating improved data reliability and integrity via data monitoring and observability. The guide evaluated the following providers that offer products that address at least two of the three core areas of DataOps functionality (data pipeline development, testing and deployment; data pipeline orchestration; and data pipeline observability): Alteryx, Amazon Web Services (AWS), Astronomer, BMC, Databricks, DataKitchen, Google, Hitachi Vantara, IBM, Infoworks, Matillion, Prefect, Rivery, SAP, Stonebranch, StreamSets and Y42.

• The Data Pipelines category assessed how well providers' offerings will address enterprises requirements for data pipeline software. The guide evaluated the following providers: Alteryx, AWS, Astronomer, BMC, Databricks, DataKitchen, dbt Labs, Google, Hitachi Vantara, IBM, Infoworks.io, Matillion, Microsoft, Prefect, Rivery, SAP, StreamSets and Y42.

• The Data Orchestration category evaluated how well providers’ offerings will address organizations’ requirements for data orchestration software. The guide assessed the following providers: Alteryx, AWS, Astronomer, BMC, Databricks, DataKitchen, Google, Hitachi Vantara, IBM, Infoworks.io, Matillion, Microsoft, Prefect, Rivery, Saagie, SAP, Stonebranch, StreamSets and Y42.

• The Data Observability category assessed products that address key elements of data observability. The guide evaluated the following providers: Acceldata, Collibra, DataKitchen, IBM, Monte Carlo, Precisely and Stonebranch.

To view the executive summaries of the research, please select the report below.

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