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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

Filters

Sorting: Highest -> Lowest

Filters

Top DataOps Platforms Companies

Showing 10 of 7 companies ranked by annual revenue.

1
Rafay Systems

Sunnyvale, California, United States

The Rafay Platform is the infrastructure orchestration and workflow automation platform for enterprise AI and cloud-native use cases. The Rafay Platform delivers optimal developer productivity through self-service consumption of environments and experiences, making infrastructure truly composable.With Rafay, developers and data scientists experiment faster, ship new capabilities and features quicker, reduce infrastructure waste, increase utilization and drive better business outcomes.

Revenue
$25.1M
Customers
-
Year founded
2017
Funding
$33M
Team size
158
Growth
270.49%
2
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
-
3
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%
4
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
-
5
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
-
6
Invu Technology

Oakland, California, United States

Invu Technology is technology providing software products and services to startups and corporate enterprises with an emphasis on FinTech. Invu has most recently developed the Invu Data Platform (IDP) with a single objective in mind–to make data science teams more productive in delivering business value. Using IDP, and our extensive experience, we set up and manage highly customized cloud environments for data science teams. IDP is a data ops platform that automates the set-up and management of cloud environments for data science teams. It allows teams to focus their valuable time developing analytical models instead of the cumbersome and tedious work of cloud infrastructure. IDP uses modern technologies like Kubernetes, Terraform, GitOps, and CI/CD to ensure environments are secure, scalable, and fully automated. IDP also includes native integrations with Jupyter, Apache Airflow, Apache Spark, GitHub, Redshift, and Office 365 to provide data science teams with a suite of tools that support their full workflows straight out of the gate.

Revenue
$330K
Customers
-
Year founded
-
Funding
-
Team size
3
Growth
-
7
snapblocs Inc

Seattle, Washington, United States

No-code, Self-Service Infrastructure Platforms on Kubernetes in your Cloud. Build & Scale Data Platforms on K8s, including Microservices in the Cloud. Spend your effort leveraging your data platforms, not building them. snapblocs radically reduces the time and effort required to design, build and operate data platform infrastructure: more innovation, less reinvention. Call us to accelerate your data-driven innovation in the Cloud.

Revenue
$220K
Customers
-
Year founded
2020
Funding
-
Team size
2
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

DataOps Platforms SaaS Companies | GetLatka