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Top 117 Cloud Data Integration Software SaaS Companies in May 2026

As of May 2026, there are 117 SaaS companies in Cloud Data Integration Software. They have combined revenues of $2.6B and employ 23K people. They have raised $2.3B and serve 6.1M customers combined.

Cloud Data Integration Software streamlines the process of combining data from disparate sources into a unified platform, primarily leveraging cloud environments. This category of software facilitates the seamless flow of information between cloud applications, on-premise systems, and databases, enabling organizations to create a comprehensive view of their data assets. Key use cases include data migration, real-time data synchronization, and consolidating data for analytics and reporting purposes. Typical features of cloud data integration solutions include data mapping, transformation capabilities, and support for various data formats and protocols. The software is often utilized by IT professionals, data engineers, and data analysts who require efficient handling of data to support business intelligence efforts. By eliminating data silos, these tools empower organizations to make informed decisions based on a holistic view of their data landscape.

Companies
117
Revenue
$2.6B
Funding
$2.3B
Employees
23K

Filters

Sorting: Highest -> Lowest

Filters

Top Cloud Data Integration Software Companies

Showing 10 of 7 companies ranked by annual revenue.

1
Rubrik

Palo Alto, California, United States

Provider of cloud infrastructure technology designed for data protection, search, analytics, archival and copy data management.

Revenue
$538M
Customers
3.2K
Year founded
2014
Funding
$565.1M
Team size
3.6K
Growth
35.47%
2
Acronis

Schaffhausen, Switzerland, Switzerland

Acronis is a provider of backup, recovery and security services for physical, virtual and cloud environments.

Revenue
$426.3M
Customers
5M
Year founded
2003
Funding
$408M
Team size
2.1K
Growth
29.96%
3
Lambda AI

San Francisco, California, United States

Lambda is an AI infrastructure company providing cloud services, infrastructure, and software training and inferencing of AI models. It serves as a trusted AI Infrastructure advisor to the world's top AI Labs, Enterprises, and Hyperscalers.

Revenue
$303.3M
Customers
-
Year founded
2012
Funding
-
Team size
669
Growth
-
4
Syntax

Canada

Since 1972, Syntax has been providing comprehensive technology solutions to businesses of all sizes with thousands of customers trusting Syntax with their IT services and ERP needs. Today, Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure, resilient, private, public or hybrid cloud. With strong technical and functional consulting services, and world class monitoring & automation, Syntax serves corporations across a diverse range of industries and markets. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders. Our award-winning team offers an extensive array of services and support including: • Managed services and enterprise cloud hosting • Security Services • Application Managed Services • Strategic consulting • Project management • Systems integration • Design and development • Programming • Installation • Training • Post installation application & technology audits

Revenue
$231.8M
Customers
-
Year founded
1972
Funding
-
Team size
2.1K
Growth
-
5
Qiniu

Pudong New Area, Shanghai, China

Provider of enterprise cloud services intended to help companies meet their data management needs. The company's platform offers integrated storage, CDN integration and data processing capabilities, including data insights and accelerated transmission, enabling businesses across China to efficiently manage all their data needs.

Revenue
$170M
Customers
1M
Year founded
2011
Funding
$415.1M
Team size
250
Growth
-
6
EDB

Wilmington, Delaware, United States

EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world’s leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit www.enterprisedb.com.

Revenue
$161M
Customers
-
Year founded
2004
Funding
$64.9M
Team size
1.5K
Growth
-
7
Navayuga InfoTech

Hyderabad, Telangana, India

Navayuga Infotech (NIT) was founded in Hyderabad, India in 1997 by its parent organization, The Navayuga Group, a diversified holding company with annual revenues exceeding USD 200 million. The CMMI Level 3 and ISO 9001 certifications earned, illustrate the company's commitment to "excellence through quality".NIT maintains two state-of-the-art software development, SaaS, Cloud Computing centers in India, located in Hyderabad and Bangalore.These centers are equipped with leading-edge hardware, software and networking infrastructures.Their high-speed communication links, technical back-up systems and security systems are among the most advanced in the industry.To accommodate the needs of clients worldwide, NIT also has business development offices in London (U.K.), Atlanta (U.S.A.), Houston (U.S.A.), San Francisco (U.S.A.)and Ras Al Khaimah (Middle East).

Revenue
$107.9M
Customers
-
Year founded
1997
Funding
-
Team size
437
Growth
140.48%

Inclusion Criteria

- Must support integration of data from multiple cloud and on-premise sources - Should offer real-time data synchronization capabilities - Must provide tools for data transformation and mapping - Should enable ease of use for users with limited technical expertise - Must allow for scalable architecture to handle growing data needs - Not just for data storage; must also facilitate data management and analytics. - Should integrate with common business intelligence and analytics platforms