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Top 67 Data Integration Tools SaaS Companies in May 2026

As of May 2026, there are 67 SaaS companies in Data Integration Tools. They have combined revenues of $2.2B and employ 13.1K people. They have raised $2B and serve 400M customers combined.

Data Integration Tools are software solutions designed to combine and manage data from various sources into a coherent and unified system. These tools streamline the processes of data migration, transformation, and synchronization, allowing organizations to create a holistic view of their data for analysis and operational purposes. Common use cases include enhancing business intelligence, improving data quality, and enabling real-time analytics. These tools typically offer features such as built-in connectors for popular applications, data mapping capabilities, automation of data workflows, and comprehensive data governance. They cater to various user personas, including data analysts, IT professionals, and business operations teams, all aiming to make informed decisions based on accessible and accurate data.

Companies
67
Revenue
$2.2B
Funding
$2B
Employees
13.1K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Integration Tools Companies

Showing 10 of 15 companies ranked by annual revenue.

1
Spatial Front

Bethesda, Maryland, United States

Offering IT services along with geospatial technology, system integration, software development, enterprise infrastructure, data analytics and more

Revenue
$59.8M
Customers
-
Year founded
2008
Funding
-
Team size
381
Growth
-
2
Varite, Inc

San Jose, California, United States

VARITE is a global IT company providing software consulting and staffing services to Fortune 1000 Companies in USA, CANADA and INDIA. VARITE is currently a primary and direct vendors to the leading corporations in the areas of Networking, Infrastructure Application Software, Semiconductor, EAI, Portal technologies, ERP, Wireless Service Providers, Lending - Mortgage and Financial Services.

Revenue
$55.3M
Customers
-
Year founded
2000
Funding
$25M
Team size
567
Growth
100.23%
3
Aiven

Helsinki, Finland

Aiven is your AI-ready Open Source Data Platform. Aiven is an AI-ready open source data platform company, helping organizations gain more value from their data. Aiven’s cloud platform combines open choice services to stream, store, and serve data, simply, securely, and rapidly across major cloud providers to power innovation. Aiven is trusted by thousands of customers to create next-generation applications confidently and quickly. Aiven is headquartered in Helsinki and has hubs in Amsterdam, Berlin, Paris, London, Singapore, Sydney, Auckland, Austin and Toronto. To learn more about Aiven, visit https://aiven.io.

Revenue
$48.7M
Customers
-
Year founded
2016
Funding
$419.9M
Team size
449
Growth
-
4
Dremio

Santa Clara, California, United States

Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises, including Shell, TD Bank, Michelin, and Farmer’s Insurance. AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress. Dremio eliminates these bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI. From the original co-creators of Apache Polaris and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow - providing flexibility, preventing lock-in, and enabling community-driven innovation.

Revenue
$41.5M
Customers
-
Year founded
2015
Funding
$395M
Team size
378
Growth
-
5
Centilytics

Noida, Uttar Pradesh, India

cloud management and analytics platform

Revenue
$26.4M
Customers
130
Year founded
2016
Funding
-
Team size
261
Growth
80.71%
6
Stae

Detroit, Michigan, United States

Provider of a digital infrastructure platform designed to offer open access to the world's civic data in one place, in real-time and with a uniform API. The company's digital infrastructure platform offers universal tool for data management and collaboration, integrate data from any source, map different data types and create real-time data feeds, enabling city managers to city workers to make better data-driven decisions, drive performance and manage vendors.

Revenue
$23.5M
Customers
-
Year founded
2016
Funding
$3M
Team size
53
Growth
14.59%
7
MSP360

Pittsburgh, Pennsylvania, United States

Backup and data management solutions

Revenue
$20.9M
Customers
-
Year founded
2011
Funding
-
Team size
129
Growth
116.04%
8
Lightbend

San Francisco, California, United States

Lightbend is a developer of an application development platform to build software applications. The company provides software development tools for programming languages. It also provides software platform for hardware and cloud computing workloads. It was founded in 2011 and is headquartered in San Francisco, California. The company seeks to acquire businesses through mergers, acquisitions and investments which would help the firm to expand and consolidate its presence in the industry.

Revenue
$17.7M
Customers
400M
Year founded
2011
Funding
$77.1M
Team size
79
Growth
53.2%
9
Datanetiix Solutions

Aliso Viejo, California, United States

Solution provider for software development, customized applications, business intelligence, IT infra solutions, staff augmentation and more

Revenue
$14.6M
Customers
-
Year founded
2008
Funding
-
Team size
101
Growth
-
10
DataBloc

Fredericton, New Brunswick, Canada

Developer of data migration software offering data-driven organizations with data storage and management. The company offers cloud storage and scale-out network-attached storage, intending to migrate data with transparency and efficiency.

Revenue
$13.2M
Customers
-
Year founded
2019
Funding
-
Team size
4
Growth
-

Inclusion Criteria

- Must facilitate data extraction, transformation, and loading (ETL) processes. - Should support integration from multiple data sources, including cloud applications and on-premise systems. - Must provide data transformation capabilities to ensure compatibility and usability of data. - Should enable real-time data syncing and automated workflows. - Must include data governance features to ensure data quality and compliance. - Not just focused on data storage; must also offer analytical capabilities.