I 10 migliori software ETL recensiti per il 2026

Databricks is a data intelligence platform built on Apache Spark that handles ETL pipelines, data ingestion, transformation, workflow orchestration, and real-time streaming across structured and unstructured data on an open lakehouse architecture.

Who Is Databricks Best For?

Databricks is a strong fit for data engineering and data science teams at large enterprises managing high-volume, complex data workloads across multiple cloud environments.

Why I Picked Databricks

Databricks is one of my top picks because I love how its open lakehouse architecture lets my team run analytics on both structured tables and unstructured data (like documents, images, and JSON logs) inside a single platform, without moving data between systems. I use Lakeflow Declarative Pipelines to build batch and streaming ETL workflows that feed directly into analytics workloads, cutting out the hand-off steps that slow most pipelines down. Unity Catalog ties it all together, giving me consistent discovery and governance across every data type in one place.

Databricks Key Features

• Lakeflow Connect: Ingests data from enterprise applications, databases, and file sources incrementally, with built-in governance and no custom connector code required.
• Lakeflow Jobs: Orchestrates and automates multi-step ETL, analytics, and AI workflows with scheduling, dependency management, and deep observability built in.
• Delta Lake: Provides ACID transactions, schema enforcement, and time travel on your data lakehouse tables for reliable, auditable ETL pipelines.
• Lakehouse Federation: Lets you query and govern data across external systems like Snowflake, Amazon Redshift, Google BigQuery, and MySQL without moving the data.

Databricks Integrations

Databricks offers a wide range of validated integrations through Partner Connect, including Fivetran, dbt Cloud, Prophecy, Informatica, Tableau, Power BI, Salesforce, Snowplow, Hightouch, and Monte Carlo, spanning data ingestion, transformation, BI, reverse ETL, and governance categories. It's available on Zapier and provides a REST API and Python Data Source API for custom integrations.

Skyvia is an ETL cloud platform. It provides a unified solution for data integration, backup, synchronization, and management. Skyvia supports popular platforms such as Salesforce, Dynamics 365, Google BigQuery, MySQL, and PostgreSQL.

Why I picked Skyvia: Skyvia is easy to use and straightforward. It allows users to navigate and access features effortlessly. With a visual interface and drag-and-drop functionality, users can easily configure data integration workflows without coding. The availability of pre-built connectors and templates simplifies the process of setting up connections and data flows between various systems.

Skyvia Standout Features and Integrations

Features include connectivity to cloud applications and databases for data integration and synchronization. Skyvia also provides data backup and restore capabilities for data protection and recovery. Advanced data mapping and transformation options allow users to customize and manipulate data during integration.

Integrations include Salesforce, Dynamic 365, SugarCRM, Zoho CRM, HubSpot, NetSuite, Pipedrive, Streak, Insightly CRM, and Freshsales.

Workato is an integration and automation platform that enables businesses to connect and automate workflows between different applications and systems.

Why I picked Workato: The best aspect of the software is the recipes feature. A recipe is a set of instructions that defines how different applications and systems should interact and respond to specific triggers or events. These recipes are built visually using a drag-and-drop interface and allow users to automate complex workflows without extensive coding.

It typically consists of triggers, actions, and conditional logic. Also, Workato provides a vast library of pre-built recipes that users can leverage as a starting point or inspiration for their own automation needs.

These recipes can be customized and tailored to match the specific requirements of a business process. For example, it automatically sends a notification to a designated Slack channel whenever a new lead is created in Salesforce.

Workato Standout Features and Integrations

Features include advanced data mapping and transformation capabilities, robust error-handling mechanisms, real-time triggers, collaboration tools, and scalability to handle enterprise-scale integrations.

Integrations include Adobe, Airtable, AWS, Autodesk, BigCommerce, BitSight, Blackline, BMC, Clause, and Constant Contact.

Funnel is a marketing data integration solution that offers a wide range of connectors to various marketing tools and platforms.

Why I picked Funnel: Funnel offers a large library of pre-built connectors, including popular platforms like Google Ads, Facebook Ads, LinkedIn Ads, HubSpot, and many more. This comprehensive connector coverage allows marketers to aggregate and unify data from multiple marketing sources easily. This enables them to gain valuable insights and make data-driven decisions for their marketing campaigns.

Funnel Standout Features and Integrations

Features include data collection and consolidation from various marketing sources. It also offers powerful data transformation capabilities, allowing users to easily clean, manipulate, and normalize their data. The reporting and visualization features allow users to view data in a visually appealing format.

Integrations include 500+ marketing and sales software, including Google Ads, Amazon Ads, Google Analytics, Tiktok, Instagram, Salesforce, Adobe Analytics, LinkedIn, Shopify, and Quora.

Fivetran is a cloud-based ETL software for businesses of all sizes. With 300+ no-code and pre-built data connectors, Fivetran is an all-in-one destination for ETL processes.

Why I picked Fivetran: One of the best features of Fivetran is automated schema drift handling and updates. Data sources often undergo changes in their schema or structure over time. These changes, known as schema drift, can pose challenges for data integration processes.

Fivetran addresses this issue by providing automated schema drift handling. It actively monitors the source systems for schema changes and automatically adjusts the data pipeline accordingly.

This means that when a source system undergoes schema changes, Fivetran adapts to these changes without requiring manual intervention or reconfiguration. As a result, businesses can maintain a seamless and uninterrupted data integration process, ensuring that the data remains accurate and up-to-date.

Fivetran Standout Features and Integrations

Features include data pipeline orchestration capabilities, which ensure that data is continuously synced and up-to-date in the destination. While Fivetran primarily focuses on data movement, it also provides basic data transformation capabilities, such as data filtering, database replication, column renaming, and data type conversions. Additionally, Fivetran also provides monitoring and alerting, which help ensure the health and reliability of data pipelines. Users can receive notifications about potential issues or failures, allowing them to address them promptly and maintain data consistency.

Integrations include Amazon S3, Facebook Ads, Google Ads, Google Search Console, Google Sheets, HubSpot, LinkedIn Ad Analytics, Marketo, Oracle, and Salesforce.

Hevo Data is a powerful ETL (Extract, Transform, Load) and ELT software that specializes in real-time data integration, enabling organizations to ingest, transform, and load data from various sources into their target destinations, such as Snowflake, Redshift, BigQuery, etc.

Why I picked Hevo Data: It is a low-code tool that offers several features that enable real-time data integration. It leverages Change Data Capture (CDC) technology to capture and replicate only the changed data from source systems, minimizing the data transfer and processing overhead. This enables efficient real-time data integration without impacting system performance.

It also allows you to replicate data from various sources, including databases, cloud services, SaaS applications, and more, in real-time. This ensures that your analytics platforms and data warehouses are continuously updated with the latest data.

Hevo Data Standout Features and Integrations

Features include real-time data integration, drag-and-drop functionality, automated data transformation, and support for various integrations. The software also enables robust error handling, data quality monitoring, security and compliance measures, and real-time monitoring.

Integrations are available with 150+ software, including MongoDB, Google Analytics, Salesforce, HubSpot, Google Ads, Facebook Ads, Pendo, Pinterest Ads, Chargebee, and Braintree.

Census is an advanced ETL software platform that supports a wide range of data connectors and works on top of your data warehouse. It's built for marketing teams that want to tap into the vast amount of data and run more successful marketing campaigns.

Why I picked Census: Census offers several features for marketing teams, but the feature I liked the most is the Audience Hub.

It allows users to create and manage audiences or segments based on their data. It gives marketers a centralized platform to define specific criteria and filters for audience segmentation. With the Audience Hub, marketers can easily build and maintain dynamic and up-to-date audience segments for their marketing campaigns. You can then feed the audience lists into marketing or advertising software.

Census Standout Features and Integrations

Features include a large connector library, visual data mapping, and centralized data management. Census enables automated data syncing and scheduling, which ensures that data stays updated across different systems and platforms. It also offers data validation features to ensure the data's accuracy and integrity.

Integrations are available with 150+ tools, including Facebook, ActiveCampaign, Airtable, Asana, Campaign Monitor, Google Ads, Chargify, Chargebee, Stripe, and Insightly.

Keboola is an end-to-end ETL platform that helps businesses manage their entire data lifecycle, from data extraction and transformation to storage, analysis, and reporting. It is best for businesses of all sizes because it provides a free forever plan for startups and an enterprise plan that comprises private SaaS and enterprise SLA.

Why I picked Keboola: I chose Keboola because of its data transformation capabilities. It enables businesses to clean, reshape, and enrich their data. It also provides a wide array of transformation components and functions, both visual and code-based, allowing users to perform complex data manipulations and calculations. This flexibility ensures that businesses can prepare their data appropriately for analysis and reporting.

Another great aspect of Keboola is its user-friendly interface that simplifies the ETL process. It provides a visual data pipeline builder, allowing users to easily define data extraction, transformation, and loading steps. This ease of use reduces the learning curve and empowers users to handle ETL tasks efficiently.

Keboola Standout Features and Integrations

Features: Keboola allows businesses to easily connect and incorporate data from diverse systems, automate data workflows for efficiency, ensure data security and compliance, leverage preferred data analytics tools for analysis and reporting, and receive comprehensive assistance in implementing and optimizing the platform.

Integrations include 2Performance, Active Campaign, Apache Hive, Asana, Azor, Google Sheets, Google Drive, Firebird, Firebolt, and Google Big Query.

Parabola is ETL software that allows users to design and automate data workflows. It has an interactive interface that provides drag-and-drop capabilities.

Why I picked Parabola: Parabola offers a user-friendly interface that makes it accessible to users without extensive technical expertise. This can benefit businesses that want to empower non-technical team members to handle data integration tasks. This can reduce reliance on IT resources and speed up the development process.

The visual interface allows users to design and configure data integration workflows by dragging and dropping components. This graphical representation enables users to better understand and validate the logic of their workflows, making it easier to identify and resolve any issues that may arise.

Parabola Standout Features and Integrations

Features include a vast library of pre-built connectors and transformations, enabling integration with various data sources. It also supports automation, allowing users to schedule and execute workflows at specified intervals, saving time and effort. Additionally, Parabola.io offers robust error handling and debugging capabilities.

Integrations include Airtable, Amazon, Box, Bubble, Copper, Databox, Drip, Dropbox, Facebook Ads, and Front.

Data Fetcher for Airtable is a tool that allows users to retrieve and extract data from their Airtable databases.

Why I picked Data Fetcher: One of the notable features of Datafetcher for Airtable is its ability to automate data extraction and synchronization from Airtable. This allows users to set up scheduled or triggered data fetches, ensuring that their external systems or tools always have access to the most up-to-date information from Airtable.

Another valuable feature of Datafetcher for Airtable is its ability to perform data transformations and mappings during the extraction process. This feature gives users enhanced control over how their Airtable data is structured and formatted in the destination system.

Data Fetcher Standout Features and Integrations

Features include advanced filtering and query options, allowing users to extract specific subsets of data based on criteria such as conditions, date ranges, or customized queries. It also provides a user-friendly interface that simplifies the setup and configuration of data fetches.

Integrations include Airtable, Apify, Clearbit, Coinbase, Facebook Ads, Google Ads, Google Calendar, Google Maps, Google Sheets, and Pipedrive.