As of May 2026, there are 30 SaaS companies in Reverse ETL Software. They have combined revenues of $795.2M and employ 5.5K people. They have raised $1.4B and serve 18K customers combined.
Reverse ETL software enables organizations to extract transformed, business-ready data from data warehouses and move it back into operational systems such as Customer Relationship Management (CRM) tools, marketing platforms, and support applications. This process supports seamless data flow between analytics and business operations, ensuring that teams have access to relevant insights in real-time. The primary use cases for reverse ETL include enriching customer profiles, optimizing marketing campaigns, and enabling data-driven decision-making across various departments. This software typically features data synchronization capabilities, user-friendly interfaces for setting up data pipelines, and monitoring tools to ensure data integrity and accuracy as it flows into different applications. Common buyer personas for reverse ETL solutions include data analysts, marketing professionals, sales operations teams, and IT departments. These users require reliable access to cleaned and structured data in the systems they utilize every day, thereby enhancing their operational efficiency and enabling better engagement with customers and prospects.
Sorting: Highest -> Lowest
Showing 10 of 13 companies ranked by annual revenue.
Paris, Île-de-France, France
DinMo is the most flexible customer data platform (CDP) for nontechnical teams, designed to empower business teams by seamlessly integrating customer data from any warehouse.
San Mateo, California, United States
Developer of Saas based data operations platform designed to manage inter-company data collaboration. The company's platform allows business users to send, receive, transform, and monitor data in their preferred format via an easy-to-use web interface, enabling companies to quickly derive value from their data, with minimal engineering required.
London, England, United Kingdom
kleene.ai is SaaS data pipelining (ELT) for scale-ups. Taking businesses on their data journey and creating a single source of truth.
San Francisco, California, United States
Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its three core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication
Gent, Belgium
Peliqan.io is an all-in-one data platform to unify your company data. Low-code data warehouse for developers & engineers, no-code data access for business teams. Get to insights fast, use your favourite BI tools and implement data syncs (reverse ETL) for your RevOps, FinOps and DataOps.
Gurgaon, Haryana, India
DataChannel is a completely self-serve no-code SaaS platform used for Data Aggregation, Analytics, and Visualization. It can be used to quickly aggregate and move all the companies data from any source be it a cloud-based SaaS application or an On-premise database to a Data warehouse of your choice. You can then use the platform to transform and prepare the data for use by downstream BI or analytics tools/processes. All this without writing a single line of code or requiring any technical skill or expertise. Learn more at https://datachannel.co
Lewes, Delaware, United States
Fastest open-source tool for replicating Databases to Apache Iceberg or Data Lakehouse. ⚡ Efficient, quick and scalable data ingestion for real-time analytics.
Stockholm, Stockholm County, Sweden
Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driven or batch data for Intelligent Pipelines & Automations and for Industrial IoT. All managed from a single Control Center and powered by a low-code and low-effort experience.
Montreal, Quebec, Canada
BEEM is a SaaS company providing an end-to-end cloud-based infrastructure that centralizes your data into one unified, secure and scalable data hub. What we do We act as the enabler to make it seamless, cheaper and faster to leverage all your data. Regardless of the data format, you can create more value from your existing and future technology stack, wether it is a mix of ERP, BI tool, CDP, CRM, Project Management tool, AI platform, etc. No more siloed data, barriers to automate data pipelines and limitations to make data-driven decisions. What we bring We hand picked a group of talented data experts to work as an extension to your teams, coupled with a best-of-breed technology infrastructure so that your whole organisation feels worry-free about maximizing the power of your data.
Palo Alto, California, United States
Canner offers a comprehensive data management solution with a range of features to simplify enterprise data management. One key benefit of Canner Enterprise is its scalability, allowing companies to easily manage growing data volumes without compromising performance or security. Another valuable aspect of Canner Enterprise is its ease of use, allowing users to quickly and easily access and manipulate data without needing technical expertise. This makes it a great solution for companies with diverse teams and limited IT resources, as Canner Enterprise's intuitive interface enables collaboration between data owners, stewards, and consumers in a single platform. Canner Enterprise's integration capabilities are also a major advantage, as the platform enables the consolidation of data from multiple sources without manual integration and transfer. This simplifies data sharing and reduces the risk of errors and inconsistencies in the data. Canner's successful track record in solving hybrid cloud integration and data-sharing challenges for clients in various industries, including technology, finance, manufacturing, and retail, demonstrates the value proposition that the platform provides.
- The software must facilitate the extraction of data from data warehouses. - It must enable the loading of this data into operational systems used by businesses. - The solution should support real-time data availability for end-users in various applications. - It must handle data transformation to ensure only business-ready data is processed and shared. - The solution is not just for data warehousing; it must integrate with diverse business applications such as CRM, marketing tools, and support systems. - The product should provide tools for monitoring data flows and ensuring data accuracy.
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