DataOps Tools Reviews and Ratings

What are DataOps Tools?

Gartner defines DataOps as the collaborative data management practice focusing on improving communication, continuous integration, automation, observability and operations of data flows between data managers, data consumers, and their teams across the organization. DataOps tools connect and orchestrate data pipelines across heterogeneous systems. Data and analytics leaders are the buyers in this emerging market. The primary audience for DataOps tools is “data manager” personas like, data engineers, data integration developers, operations/incident analysts, database administrators and data architects. The secondary audience is “data consumer” personas like business analysts, business intelligence developers, data scientists and citizen roles (departmental users who are domain experts, but less technical).

Products In DataOps Tools Market

"Unravel"

Experience has been more than phenomenal. Unravel team has assisted us with all our request and on a timely manner. It's been a pleasure working with their team. Unravel application has helped gather valuable information about our cluster and it has helped identified issues on the same and even how we can improve the way we run queries on the clusters.

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"DataOps.live allows us to deliver data from space in the hands of our customers "

Product can scale. We ingest 65 billion rows of data per day with outlook for data to grow 635% in the next year. It easy to use and reduce resources onboarding overhead due to the existent online training and ability to move code from FB to dev to qa and prod and setup training projects. Automation, automation, automation. Snowflake seamless integration. Use of dbt. Kafka and cloud files data ingestion

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"Quick integration, went live with multi-channel notifications in a day."

Best product for product managers to get complete control and visibility into notifications. Implement quickly with no need to go through sprint cycles for creating and iterating notifications.

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"Cross-Platform Job Scheduler: Key Features and Limitations"

Job scheduler that can run jobs on different servers/operating systems. Supports dependencies between jobs.

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"Fast Pipe. "

we have saved so much of resource time and enabled faster time to market.

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"Unveiling the Future of Data Quality with IBM Databand"

It was an good experience using data observability and data check tool like IBM databand.

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"Data Validation Tool Offers Ease of Use Amid Improvements"

Very efficient tool for data reconciliation and validations

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