Published on May 31st, 2025
Introduction
As data continues to be the foundation of business intelligence and AI-driven decision-making, the demand for fast, scalable, and cost-effective ELT tools has grown dramatically. Unlike traditional ETL (Extract, Transform, Load) systems, ELT tools load raw data into a centralized data warehouse first, then transform it there — enabling faster performance, scalability, and better alignment with cloud-native infrastructure.
In 2025, the ELT landscape is more robust and competitive than ever. Here’s a guide to the 22 best ELT platforms that modern data teams should consider.
1. Fivetran
A market leader in automated ELT, Fivetran offers prebuilt connectors, schema management, and transformations in SQL. It’s ideal for companies needing low-maintenance pipelines.
Best for: Mid to large enterprises
Key Feature: Auto-scaling and connector managemen
2. Airbyte
An open-source ELT platform with growing community support. Airbyte offers modular connector development and robust orchestration tools.
Best for: Startups and open-source enthusiasts
Key Feature: Connector development kits and flexible deployment
3. Stitch
Backed by Talend, Stitch is known for simplicity and speed. It provides essential ELT functionality with great usability.
Best for: Small to medium businesses
Key Feature: Lightweight setup and transparent pricing
4. Hevo Data
Hevo offers no-code ELT, supporting real-time data pipelines with a strong UI. Great for teams with limited engineering resources.
Best for: Teams prioritizing ease of use
Key Feature: Real-time sync and data observability
5. Matillion
Built for the cloud, Matillion integrates natively with Snowflake, BigQuery, Redshift, and Azure Synapse.
Best for: Enterprise cloud-native environments
Key Feature: Code-optional transformations in cloud warehouses
6. Informatica Cloud Data Integration
Known for enterprise-grade data management, Informatica offers broad functionality beyond ELT, including data governance and lineage.
Best for: Highly regulated industries
Key Feature: Integrated governance and monitoring tools
7. Azure Data Factory
Microsoft’s ELT solution for Azure ecosystems, offering deep integration with Microsoft services.
Best for: Azure-centric organizations
Key Feature: Visual pipelines and native Azure tools
8. AWS Glue
A serverless data integration service that supports both ETL and ELT workflows on AWS infrastructure.
Best for: AWS-based data teams
Key Feature: Built-in cataloging and schema discovery
9. Google Cloud Dataflow
A flexible ELT tool for Google Cloud users, designed for streaming and batch processing.
Best for: Real-time and GCP-native data environments
Key Feature: Apache Beam support for complex workflows
10. Keboola
A collaborative data platform that includes ELT functionality along with orchestration and versioning.
Best for: Teams looking for end-to-end data ops
Key Feature: Modular, transparent data stack management
11. Meltano
An open-source ELT platform spun out of GitLab, Meltano allows for deep customization and extensibility.
Best for: Data engineers wanting full control
Key Feature: Git-based versioning and CLI-driven workflows
12. Rivery
A SaaS ELT platform offering prebuilt logic, data modeling, and orchestration for business users and developers alike.
Best for: Mixed technical and business teams
Key Feature: Preconfigured logic rivers and data workflows
13. Oracle Data Integrator
Enterprise-grade integration that includes ELT workflows tailored for Oracle infrastructure and cloud services.
Best for: Oracle-based enterprises
Key Feature: Native ELT inside Oracle environments
14. IBM DataStage
Part of IBM’s InfoSphere platform, it supports high-volume, enterprise-grade ELT with data lineage and governance.
Best for: Complex data environments
Key Feature: Advanced parallel processing
15. Dataform (by Google Cloud)
A cloud-native data modeling tool with ELT workflows for teams using BigQuery.
Best for: SQL-based analytics teams
Key Feature: Version-controlled SQL workflows
16. Etleap
An ELT solution designed for analysts and engineers, focusing on simplicity, automation, and transparency.
Best for: Data-driven startups
Key Feature: Visual pipeline building with SQL-based transformations
17. Portable
Focuses on long-tail data connectors for niche tools and applications that major vendors don’t cover.
Best for: Companies needing hard-to-find integrations
Key Feature: Custom connector-as-a-service
18. Xplenty (now part of Integrate.io)
A no-code platform aimed at rapid integration and transformation in cloud environments.
Best for: Marketing and sales operations
Key Feature: Drag-and-drop ELT pipelines
19. Estuary
A modern ELT tool for real-time pipelines, with a focus on low-latency sync and event-driven data.
Best for: Real-time analytics teams
Key Feature: Built-in change data capture (CDC)
20. Apache NiFi
A robust open-source tool from the Apache Foundation offering data flow orchestration, routing, and transformation.
Best for: Government and high-security environments
Key Feature: Fine-grained data control and lineage
21. Blendo
Targets business teams with fast setup and native integrations to analytics platforms like Looker and Power BI.
Best for: Quick analytics implementations
Key Feature: Analytics-ready data delivery
22. Dataddo
Focused on marketing and sales data, Dataddo provides easy ELT setup across hundreds of SaaS tools.
Best for: Marketing and operations teams
Key Feature: Automated syncs to dashboards and warehouses
Conclusion
Choosing the right ELT tool in 2025 depends on your team’s size, technical maturity, and integration needs. From open-source platforms like Airbyte and Meltano to enterprise-ready tools like Fivetran, Informatica, and Matillion, there’s a solution for every use case. As data becomes more complex and distributed, investing in the right ELT platform can dramatically enhance your analytics capability and overall digital strategy.
