Best Free ETL & Data Pipelines Tools in 2026

No-code data integration for 200+ apps and databases

4.8/5 across G2 and Capterra · 437 ratings, Aug 2026

Skyvia is a no-code data integration platform that helps data-driven teams move, transform, and activate data across 200+ SaaS applications, databases, file storages, and data warehouses. It supports ETL/ELT, Reverse ETL, synchronization, workflow automation, and live data access from a single platform. Teams can build end-to-end data warehouse pipelines, replicate operational data to Snowflake, BigQuery, Redshift, and other destinations, transform data, and send it back to business applications. Visual configuration, automatic schema drift handling, and per-object run logs with failure alerts keep pipelines running without a dedicated data engineer. Volume-based pricing makes Skyvia suitable for both straightforward integrations and enterprise data workflows.

Ingest, transform, and send data with 200+ plugins

4.6/5 across SourceForge and G2 · 553 ratings, Sep 2026

Logstash is an open-source data processing pipeline that ingests, transforms, and sends data. Part of the Elastic Stack alongside Elasticsearch and Kibana. 200+ plugins connect to data sources and destinations. Filter and enrich logs in real-time. Scale horizontally for high-volume data. The ETL pipeline for log and event data.

Sync data from your warehouse to 150+ SaaS tools without code

4.4/5 across G2 and SourceForge · 406 ratings, May 2026

Census is a reverse ETL platform that syncs data from your warehouse to SaaS tools. Send customer data from Snowflake, BigQuery, or Redshift directly to Salesforce, HubSpot, and 150+ destinations. No engineering required - business teams define syncs visually. Real-time and scheduled syncs keep tools in sync with your source of truth. Turn your data warehouse into the customer data platform you already have.

Unified integration platform for all data movement with no-code syncing and managed data pipelines.

4.6/5 across G2 and Capterra · 206 ratings, Sep 2026

Dataddo is a modern data integration platform designed to simplify data movement for businesses of all sizes and technical skill levels. It offers a no-code solution for syncing data, managed data pipelines, and supports infinitely scalable ETL, ELT, and Reverse ETL processes. With over 400 connectors, Dataddo enables users to securely move data between various business applications, databases, data warehouses, and dashboarding tools. The platform provides three core products: Data to Dashboards for syncing data to reporting tools like Tableau and Power BI; Data Anywhere for comprehensive ETL/ELT, data replication, and reverse ETL to warehouses and other applications; and Headless Data Integration for building data products on top of a unified API. Dataddo emphasizes maintenance-free operation, automatically handling API changes and pipeline maintenance, and offers robust security with SOC 2 Type II certification and ISO 27001 compliance. It is designed to be future-proof, technology-agnostic, and offers predictable pricing.

Unify data and AI operations for smarter business decisions and automated insights.

4.7/5 across G2 and Capterra · 154 ratings, Sep 2026

Keboola is a unified data and AI orchestration platform designed to help organizations consolidate, transform, and utilize their data effectively. It provides a comprehensive environment for data integration, preparation, and activation, enabling businesses to build robust data pipelines and deploy AI models with ease. The platform caters to a wide range of users, from data engineers and analysts to business leaders, by simplifying complex data processes and making data accessible for various use cases. The platform's core functionality revolves around automating the entire data lifecycle, from connecting to diverse data sources to delivering refined data for analytics, reporting, and AI applications. It aims to eliminate data silos, improve data quality, and accelerate time-to-insight. Keboola supports specific business solutions such as Financial Intelligence, helping CFOs and controllers gain deeper insights into financial performance, and ESG Reporting & Carbon Footprint Management, assisting companies in tracking and reporting their environmental, social, and governance metrics. Key benefits include increased operational efficiency through automation, enhanced data-driven decision-making, and the ability to rapidly develop and deploy AI solutions without extensive coding. By providing a single platform for all data and AI needs, Keboola helps organizations unlock the full potential of their data assets.

No-code data integration and AI analytics platform for instant insights from 400+ sources.

4.8/5 on G2 · 104 ratings, Sep 2026

Coupler.io is a no-code data integration platform designed to help businesses gather, transform, and analyze data from over 400 sources. It allows users to consolidate data from various business applications into a single source of truth, such as spreadsheets, data warehouses, BI tools, or dashboards. The platform simplifies the process of data preparation by offering features like custom formulas, advanced filtering, blending (append, join, aggregate), and real-time adjustments to columns. This tool is ideal for data analysts and business teams across finance, marketing, sales, and leadership who need to make data-driven decisions without extensive technical knowledge. It integrates seamlessly with popular BI tools for visualization and offers AI integrations for conversational data analysis and an AI agent for immediate answers. Coupler.io aims to significantly reduce the time spent on reporting and data preparation, enabling users to focus on insights and strategic actions.

Modern workflow orchestration platform

4.5/5 on G2 · 125 ratings, Sep 2026

Prefect orchestrates data workflows with Python elegance. Modern data orchestration that feels like coding pipelines without the pain. The Python experience is native. The orchestration is modern. The cloud and self-host both work. Data teams wanting elegant orchestration choose Prefect for Pythonic data workflow.

Stream, contextualize, and analyze real-time operational data to power AI-driven industrial operations.

4.5/5 across G2 and Capterra · 94 ratings, Sep 2026

HiveMQ is an industrial data platform purpose-built to bring operational data from the edge into the enterprise. It provides a robust MQTT platform for connecting, streaming, and managing real-time data at scale, enabling organizations to build resilient data backbones for mission-critical operations. The platform focuses on unifying OT and IT data, contextualizing it with structure and governance, and then analyzing it to generate insights. HiveMQ is designed to feed trusted, real-time data to AI models, facilitating agentic AI systems that can automate decisions and continuously improve operational outcomes. It supports a full customer journey from connecting devices and systems via MQTT, to contextualizing data for a shared understanding, analyzing patterns for insights, and finally acting on those insights with human or AI intervention. The platform is ideal for industries like manufacturing, energy, transportation, and data centers, aiming to reduce downtime, optimize efficiency, and accelerate AI transformation.

Visual workflow automation for data tasks

4.9/5 on G2 · 64 ratings, Sep 2026

Parabola automates data workflows visually. Transform and move data without code-data processing that non-engineers can build. The visual approach is accessible. The data operations are powerful. The learning curve is gentle. Operations teams automating data work use Parabola for visual data workflow.

Connect any data source, analyze anywhere, and automate ETL/ELT pipelines with no code.

4.4/5 on G2 · 90 ratings, Sep 2026

Windsor.ai is a no-code ETL/ELT platform designed to help businesses integrate data from over 325 platforms into their preferred BI tools, spreadsheets, data warehouses, and AI chats. It automates the process of pulling, transforming, and loading data, eliminating the need for manual CSV exports, copy-pasting, or complex coding. The platform offers automatic normalization and schema mapping to ensure data is analysis-ready. This tool is ideal for data engineers, marketers, and business analysts who need to unify fragmented data sources, automate reporting, and gain a single source of truth for their marketing and business performance. By streamlining data integration and workflow automation, Windsor.ai helps users save significant time on data preparation, optimize strategy, and make data-driven decisions to improve ROI. It supports popular destinations like Looker Studio, Power BI, Google BigQuery, Google Sheets, and Snowflake.

The modern data platform for growing businesses, simplifying ETL, warehousing, and transformation.

4.6/5 on G2 · 68 ratings, Sep 2026

Mozart Data is an all-in-one modern data stack designed to help growing businesses manage and leverage their data more efficiently. It provides a comprehensive suite of tools for data extraction, centralization, organization, and analysis, aiming to simplify data workflows and enable faster business decisions. The platform integrates various data sources, centralizes them in a cloud-based data warehouse (Snowflake), and automates data transformation processes, making data analysis-ready. This product is ideal for data engineers, data analysts & scientists, and business teams across finance, revenue operations, product, marketing, and general operations. It helps democratize data access, reduce the time spent on data wrangling, and decrease the time to locate insights. By offering a unified platform, Mozart Data aims to save businesses money compared to building and maintaining a standalone data stack, allowing them to focus more on analysis and growth rather than infrastructure management. Key benefits include rapid setup, significant time savings in finding insights, and cost efficiency. It also offers data management features like data cataloging, observability, and reliability to build trust in the data. The platform supports pushing clean data to spreadsheets or preferred BI tools for uncovering new insights and creating accurate growth strategies.

Open-source CDP to collect, route, and activate your customer data

4.7/5 on G2 · 52 ratings, Sep 2026

RudderStack is an open-source customer data platform for collecting, routing, and activating customer data. SDKs for web, mobile, and server capture events. Warehouse-first architecture stores data in your own infrastructure. Transformations let you modify data in-flight with JavaScript. 200+ integrations for analytics, marketing, and product tools. The open-source alternative to Segment with no data sampling or vendor lock-in.

Open-source data integration platform for ELT pipelines

4.4/5 on G2 · 78 ratings, Aug 2026

Airbyte moves data from any source to any destination. Connect your databases, APIs, and SaaS tools to your data warehouse with pre-built connectors for 300+ platforms. Being open-source means you can self-host and customize freely. The community contributes connectors for niche tools. When something doesn't exist, you can build it. Data teams building modern analytics stacks use Airbyte as the extraction layer. It handles the tedious work of pulling data together so you can focus on analysis.

Unified analytics engine for big data

4.4/5 across G2 and Capterra · 70 ratings, Sep 2026

Apache Spark is an open-source unified analytics engine for large-scale data processing. It handles batch and real-time streaming workloads across Python, SQL, Scala, Java, and R, enabling distributed computing on single nodes or clusters. Used by 80% of Fortune 500 companies, Spark powers data engineering, data science, and machine learning pipelines at petabyte scale with adaptive query execution that delivers up to 8x faster performance on industry benchmarks.

Powering Industrial AI at scale by transforming raw OT data into AI-ready intelligence at the edge.

4.4/5 across G2 and Capterra · 55 ratings, Sep 2026

Litmus is an enterprise-grade Industrial Edge Data Platform designed to bridge the operational technology (OT) and information technology (IT) data gap. It provides a comprehensive solution for connecting to any industrial asset, system, or protocol, standardizing raw OT data into structured, normalized formats, and integrating it with cloud, enterprise, and industrial systems. The platform enables real-time edge analytics and the deployment of AI/ML models directly at the edge, where data is created. This platform is ideal for industrial organizations looking to harness their OT data for advanced analytics and Artificial Intelligence initiatives. It aims to accelerate the journey to Industrial AI by offering rapid data connectivity, quick deployment across multiple sites, and a fast return on investment. Litmus simplifies the management and scaling of edge intelligence, making it suitable for large-scale industrial deployments and digital transformation efforts.