Knowledge Hub

DataOps Platforms

A directory of 12 leading DataOps platforms for automating data pipelines, breaking down silos, and delivering trusted, on-demand data at scale.

01

DataKitchen

The DataKitchen DataOps Platform enables cross-functional teams to seamlessly collaborate, quickly innovate, and instantly deliver error-free, on-demand insight.

02

IBM DataOps

IBM DataOps solutions integrate automation, governance, and policy-aware intelligence to organize your data so it's trusted and business-ready for AI.

03

Striim

Striim's self-managed platform offers real-time data integration and streaming for on-premise and cloud environments.

04

Tamr

Tamr's data mastering platform integrates machine learning with human feedback to break down data silos and continuously clean and deliver accurate data.

05

Rivery

Rivery's SaaS platform provides a fully-managed solution for data ingestion, transformation, orchestration, reverse ETL, and more.

06

Nexla

Nexla learns your schema, tracks its evolution, monitors changes to data characteristics, and manages data flows regardless of format or source type.

07

Fivetran (formerly Census)

Sync data from your warehouse into all your business tools, giving every team the data they need to act and automate with confidence.

08

Mozart Data

Your all-in-one modern data platform for centralizing, organizing, and analyzing your data. Get set up in an hour, without engineering resources.

09

Databricks Lakeflow

Databricks Lakeflow provides ingestion, processing, and scheduling that minimizes the complexity of building and maintaining pipelines and running ETL workloads on a data lake.

10

Datafold

Datafold is a data quality platform with diffs, column-level lineage, alerts, and more. No more broken pipelines, models, or dashboards.

11

dbt

With dbt, data teams work directly within the warehouse to produce trusted datasets for reporting, ML modeling, and operational workflows.

12

Hitachi Vantara Lumada DataOps

Accelerate data-driven transformation. Deliver trusted data by optimizing your data fabric with an intelligent DataOps portfolio, to experience data from edge to multicloud.