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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 14 companies ranked by annual revenue.

1
Aquera

Seattle, Washington, United States

Developer of an enterprise integration platform intended to provide instant and automatic integration between all business applications, databases, directories and devices. The company's cloud-based service provides real-time integration between application platforms and IT infrastructure to achieve accelerated and de-risked financial returns from faster and more complete application platform roll-outs.

Revenue
$9.9M
Customers
-
Year founded
2016
Funding
$1.6M
Team size
222
Growth
57.38%
2
ASOCS

Rosh Ha'Ayin, Hamerkaz, Israel

Provider of on-premise edge cloud solutions designed to enable unlimited mobile network capacity and secure connectivity while collecting and analyzing mobile device and IoT data to allow enterprises to deliver and monetize new services and applications. ASOCS serves retail, real estate, corporate offices, hospitality, hospitals and sports and entertainment markets.

Revenue
$8.7M
Customers
-
Year founded
2003
Funding
$24M
Team size
81
Growth
495.59%
3
Sentient.io

Singapore, Central Region, Singapore

Developer of cloud computing platform intended for provision compute or data storage infrastructure. The company's platform utilizes large amounts of datasets with self-improving algorithms by embedding AI capabilities into their applications via REST API calls, enabling software developers to easily and quickly discover and embed AI algorithms in their applications.

Revenue
$8.4M
Customers
-
Year founded
2017
Funding
$5.2M
Team size
22
Growth
855.71%
4
Neysa

Mumbai, India

Neysa is an AI Acceleration Cloud System provider that democratizes AI adoption with purpose-built platforms and services for AI-native applications. It empowers businesses to discover, deploy, and scale Gen AI and AI use cases securely and cost-effectively.

Revenue
$8.1M
Customers
-
Year founded
2023
Funding
-
Team size
90
Growth
-
5
Arcee AI

Miami, Florida, United States

Arcee AI is building the next generation of foundation models and tooling for enterprise and industrial-scale AI. Its AFM family of foundation models and vertically-integrated stack help businesses deploy secure, controllable, and cost-effective AI at the edge, in the cloud, or anywhere in between.

Revenue
$7.8M
Customers
-
Year founded
2023
Funding
-
Team size
39
Growth
-
6
Uni B Solutions

Chicago, Illinois, United States

Provider of a platform for data storage and processing. The company offers a cloud-based platform UNiTY that helps to access real-time insight to any information needed without storing client's data.

Revenue
$7.8M
Customers
-
Year founded
2012
Funding
-
Team size
3
Growth
2777.09%
7
CloudShare

San Francisco, California, United States

CloudShare enables on-premise solutions to use the cloud unchanged, providing an intuitive user experience.

Revenue
$7M
Customers
50K
Year founded
2007
Funding
$10M
Team size
78
Growth
41.78%
8
DTStack

Kasumigaseki, Tokyo, Japan

Provider of cloud computing and large data technology services. The company uses IaaS infrastructure to provide customers with deep customized PAAS/SAAS products and services.

Revenue
$6.9M
Customers
-
Year founded
2015
Funding
-
Team size
2
Growth
-
9
UberCloud

Los Altos, California, United States

Developer of a software platform designed to bring the power of cloud computing to engineering applications. The company's software platform offers an online community and marketplace enabling engineers, scientists and their service providers to discover, try and buy ubiquitous computing services on demand, in any private, public or hybrid cloud and get a performance boost of 10x or more when running their complex mathematical models and simulations.

Revenue
$6.8M
Customers
3.5K
Year founded
2013
Funding
-
Team size
71
Growth
35.08%
10
Infinys System Indonesia

Menteng Dalam, Jakarta, Indonesia

Infinys System Indonesia established its business in Indonesia in 2007 and quickly positioned itself as Indonesias first Hosted Exchange Provider. In 2009, Infinys evolved into a full Public Cloud Provider by embracing Microsoft suite product. Since then, Infinys is providing a range of Cloud-based services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Revenue
$6.6M
Customers
-
Year founded
2007
Funding
-
Team size
55
Growth
48.51%

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