A directory of 12 leading DataOps platforms for automating data pipelines, breaking down silos, and delivering trusted, on-demand data at scale.
The DataKitchen DataOps Platform enables cross-functional teams to seamlessly collaborate, quickly innovate, and instantly deliver error-free, on-demand insight.
IBM DataOps solutions integrate automation, governance, and policy-aware intelligence to organize your data so it's trusted and business-ready for AI.
Striim's self-managed platform offers real-time data integration and streaming for on-premise and cloud environments.
Tamr's data mastering platform integrates machine learning with human feedback to break down data silos and continuously clean and deliver accurate data.
Rivery's SaaS platform provides a fully-managed solution for data ingestion, transformation, orchestration, reverse ETL, and more.
Nexla learns your schema, tracks its evolution, monitors changes to data characteristics, and manages data flows regardless of format or source type.
Sync data from your warehouse into all your business tools, giving every team the data they need to act and automate with confidence.
Your all-in-one modern data platform for centralizing, organizing, and analyzing your data. Get set up in an hour, without engineering resources.
Databricks Lakeflow provides ingestion, processing, and scheduling that minimizes the complexity of building and maintaining pipelines and running ETL workloads on a data lake.
Datafold is a data quality platform with diffs, column-level lineage, alerts, and more. No more broken pipelines, models, or dashboards.
With dbt, data teams work directly within the warehouse to produce trusted datasets for reporting, ML modeling, and operational workflows.
Accelerate data-driven transformation. Deliver trusted data by optimizing your data fabric with an intelligent DataOps portfolio, to experience data from edge to multicloud.