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        Buyers Guides for DataOps

        2024 Software Provider and Product Assessment

        The ISG Buyers Guide™ for DataOps evaluates software providers and products to address data pipeline development, testing and deployment, data pipeline orchestration, data pipeline observability, and data products. Providers with products that address at least two elements—data pipelines, data orchestration or data observability—were deemed to provide a superset of functionality to address DataOps overall. This approach is designed to maintain consistency with the 2023 DataOps Buyers Guide and reflects the relative immaturity of data product platforms.

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

        • The DataOps Buyers Guide evaluates software providers and products to address data pipeline development, testing and deployment, data pipeline orchestration, data pipeline observability, and data products. The guide assesses the following providers: Alteryx, AWS, Astronomer, BMC, Dagster Labs, Databricks, DataKitchen, DataOps.live, dbt Labs, Google, Hitachi, IBM, Informatica, Infoworks, K2View, Keboola, Matillion, Microsoft, Nexla, Prefect, Qlik, Rivery, SAP, Y42 and Zoho.
        • The Data Observability Buyers Guide evaluates software providers and products in key areas, including the detection, resolution and prevention of data reliability issues. The guide assesses the following providers: Acceldata, Ataccama, Bigeye, Collibra, Dagster Labs, DataKitchen, DataOps.live, DQLabs, Great Expectations, IBM, Informatica, Monte Carlo, Precisely, Qlik, RightData, Soda and Validio.
        • The Data Orchestration Buyers Guide evaluates software providers and products in key areas, including data pipeline management, workflow management and pipeline deployment. The guide assesses the following providers: Alteryx, Amazon Web Services, Astronomer, BMC, Cloudera, Dagster Labs, Databricks, DataKitchen, DataOps.live, dbt Labs, Google, Hitachi, IBM, Informatica, Infoworks, K2View, Keboola, Matillion, Microsoft, Nexla, Prefect, Rivery, Saagie, SAP, Stonebranch, Y42 and Zoho.
        • The Data Pipelines Buyers Guide evaluates software providers and products in key areas, including data pipeline development, data pipeline testing, and data pipeline deployment. The guide assesses the following providers: Airbyte, Alteryx, Astronomer, AWS, BMC, Census, Dagster Labs, Databricks, DataKitchen, DataOps.live, dbt Labs, Google, Hitachi, IBM, Informatica, Infoworks, K2view, Keboola, Mage, Matillion, Microsoft, Nexla, Prefect, Qlik, Rivery, SAP, Y42 and Zoho.
        • The Data Products Buyers Guide evaluates software providers and products in key areas, including the development, classification, consumption, discovery and management of data products. The guide assesses the following providers: Actian, Alation, Alteryx, Amazon Web Services, Atlan, Collibra, Databricks, DataOps.live, Denodo, IBM, Informatica, K2view, Microsoft, Nexla, One Data, Qlik, SAP, Starburst and The Modern Data Company.

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

        To learn more about our Buyers Guide services for enterprises including purchasing the complete research, advising on your software providers, conducting a workshop or performing an assessment, click here.

        To learn more about our Buyers Guide services for software providers including purchasing the complete research and charts or performing an assessment, click here.

        View the 2024 Buyers Guides for DataOps

         

        DataOps

        Evaluates products that address key elements of DataOps.

        Data Observability

        Evaluates products that address key elements of data observability.

        Data Orchestration

        Evaluates products that address key elements of data orchestration.

        Data Pipelines

        Evaluates products that address key elements of data pipelines.

        Data Products

        Evaluates products that address key elements of data products.