- Revenue
- $300M
- Customers
- 6.3K
- Year founded
- 2012
- Funding
- $727.4M
- Team size
- 1.7K
- Growth
- -
Top 90 Data as a Service (DaaS) Software SaaS Companies in May 2026
As of May 2026, there are 90 SaaS companies in Data as a Service (DaaS) Software. They have combined revenues of $1.7B and employ 11.9K people. They have raised $1.6B and serve 34K customers combined.
Data as a Service (DaaS) software provides businesses with access to data management and analytics capabilities on a subscription basis. This cloud-based service helps organizations to retrieve, analyze, and visualize data without the need to invest heavily in their own data infrastructure. DaaS platforms typically deliver data in real-time, allowing users to make informed decisions based on up-to-date insights from various data sources. The primary use cases for DaaS include customer behavior analysis, supply chain management, and targeted marketing efforts. Typical features of DaaS software include data integration, data cleaning, and the ability to run complex queries across multiple datasets. Common buyer personas for DaaS include data analysts, marketing teams, business intelligence professionals, and IT decision-makers, all looking to leverage external data to enhance their operations and strategic initiatives.
Filters
Sorting: Highest -> Lowest
Top Data as a Service (DaaS) Software Companies
Showing 10 of 5 companies ranked by annual revenue.
2
Seeburger
Baden-Württemberg, Karlsruhe, Germany
Provider of a cloud based business management platform designed to provide business integration and secure file transfer. The company's platform specializes in providing data integration, electronic invoicing, automate file transfer, data networking and data management, enabling companies to automate electronic data exchange and thereby digitalize their business processes.
- Revenue
- $296.9M
- Customers
- 10K
- Year founded
- 1986
- Funding
- -
- Team size
- 907
- Growth
- 717.7%
3
EBSCO
Ipswich, Massachusetts, United States
EBSCO is an IT firm that provides SaaS, database, and scientific content for institutions and libraries.
- Revenue
- $156.7M
- Customers
- 11K
- Year founded
- 1999
- Funding
- -
- Team size
- 2.5K
- Growth
- 23.37%
4
Delphix
Redwood City, California, United States
Delphix provides an intelligent data platform that accelerates digital transformation for companies around the world.
- Revenue
- $124M
- Customers
- -
- Year founded
- 2008
- Funding
- $119.5M
- Team size
- 434
- Growth
- 65.34%
5
Qumulo
Seattle, WA, United States
Modern enterprises have to manage exponentially-growing exabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing solutions suffer from two crucial shortcomings: Complexity and platform lock-in. Legacy solutions are excruciatingly complex to deploy and manage. And nearly every solution restricts users to running in only the data center and on expensive, inflexible proprietary hardware platforms. Qumulo is the simple way to manage exabyte-scale data anywhere — edge, core, or cloud — on the platform of your choice. In a world with trillions of files and objects comprising 100+ zettabytes worldwide, companies need a solution that combines the ability to work anywhere with simplicity. This is precisely what Qumulo was founded to accomplish.
- Revenue
- $115.7M
- Customers
- -
- Year founded
- 2012
- Funding
- $345.5M
- Team size
- 569
- Growth
- -
Inclusion Criteria
- Provides on-demand access to external data sources - Offers tools for data integration and analysis - Supports real-time data visualization and reporting - Enables data cleaning and preparation functionalities - Must cater to various industries, not limited to just one sector - Not just a storage solution; must include analytics and actionable insights - Designed for use by roles such as data analysts, marketers, and IT professionals