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Top 7 DataOps Platforms SaaS Companies in May 2026

As of May 2026, there are 7 SaaS companies in DataOps Platforms. They have combined revenues of $37.1M and employ 320 people. They have raised $33M and serve - customers combined.

DataOps Platforms are designed to streamline and enhance the management of data workflows, enabling organizations to deliver high-quality data products more efficiently. These platforms facilitate the integration of data from various sources, automate data preparation, and ensure that data is accessible for analytics and decision-making. By promoting collaboration across teams, DataOps Platforms help organizations maintain data integrity while accelerating the data lifecycle from conception to deployment. Common use cases for DataOps Platforms include data integration, data quality monitoring, and automating data pipeline processes. Typical features may include version control for data, automated testing and deployment, and dashboards for monitoring data flows. Various personas, such as data engineers, data analysts, and IT managers, engage with these platforms to optimize their data strategies and ensure their projects align with organizational goals.

Companies
7
Revenue
$37.1M
Funding
$33M
Employees
320

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Top DataOps Platforms Companies

Showing 10 of 4 companies ranked by annual revenue.

1
nominal.io

Austin, Texas, United States

Nominal is a data infrastructure and analytics platform helping hardware engineering teams quickly and reliably test and validate critical systems. It powers mission-critical engineering work across aerospace, energy, automotive, and defense with automation, analytics, and operations in one unified solution.

Revenue
$4.7M
Customers
-
Year founded
2022
Funding
-
Team size
107
Growth
-
2
Files.fm

United States

Files.fm provides secure and convenient SaaS data storage solutions for business, professional and private users, so that they can easily Store, Publish, Backup or Sell files worldwide. Files.fm is now working on semi-decentralized peer-to-peer solutions for data storage, sharing and analysing as well as fog-computing. The company is preparing for a crowd-investment campaign in Q3-Q4, 2018 after securing a new investment round from private angel investors. Files.fm professional IT department and servers are safely located in Northern Europe and the UK with offices in Files.fm building in Riga Latvia and Innovation Centre in Sci-Tech Daresbury, England.

Revenue
$2.8M
Customers
-
Year founded
2007
Funding
-
Team size
14
Growth
75.38%
3
Lets Go DevOps

Kraków, Poland

We specialize in managing cloud infrastructure, mainly Amazon Web Service and Google Cloud. We operate as in-source DevOps — we become a part of your team. Let’s talk about DevOps, DataOps, DevSecOps. Let's grow (faster) together!

Revenue
$2.2M
Customers
-
Year founded
2022
Funding
-
Team size
20
Growth
-
4
CloudCasa | K8s Backup, DR, Migration

Paramus, New Jersey, United States

Leader in #Kubernetes Data Protection and Migration. CloudCasa is a powerful, scalable, cyber-resilient backup, recovery and data migration service for developers, DevOps and IT Ops. Easily manage your #Velero installations and backup, recover, and migrate Kubernetes clusters and data on premises or in AKS, EKS, and GKE. Recover your data to any cluster or any cloud, including cross-account, cross-cluster, cross-region, and cross-cloud data recovery and data migration. Sign up for the Free service plan with unlimited PV and RDS snapshots, no limits on worker nodes and clusters, free security scans, and first 100 GB of data for free for PV and etcd backups. No credit card or payment method required!

Revenue
$1.8M
Customers
-
Year founded
2020
Funding
-
Team size
16
Growth
-

Inclusion Criteria

- Must provide capabilities for automating data workflows - Should support integration of diverse data sources and formats - Must include features for monitoring data quality and access control - Should offer collaboration tools for cross-team communication - Not just focused on data storage; must also facilitate data processing and analytics - Must enable version control and traceability for data products