10 melhores ferramentas de integração de dados analisadas para 2026

Análises das melhores ferramentas de integração de dados

1. 

   1

   Celigo

   Best with AI-guided integration design

   • 30-day free trial available
   • Pricing upon request

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   Celigo is a cloud-based integration platform designed for IT teams and business users who need to connect ERP, ecommerce, and SaaS systems to automate workflows and manage data across multiple applications.

   Who Is Celigo Best For?

   IT teams and SaaS businesses that need to automate and manage integrations across ERP, ecommerce, and cloud applications.

   Why I Picked Celigo

   I picked Celigo as one of the best because its AI-guided integration design speeds up building and deploying complex workflows. I like how the platform suggests integration steps and maps data fields automatically, which saves my team time on repetitive mapping tasks. In practice, that means we can quickly connect new SaaS apps or update existing integrations without manual guesswork.

   Celigo Key Features

   • Prebuilt ERP and ecommerce connectors: Connects directly to platforms like NetSuite, Shopify, and Salesforce.
   • Visual flow builder: Lets you design and manage integrations using a drag-and-drop interface.
   • Error management dashboard: Monitors integration health and provides real-time alerts for failed workflows.
   • Role-based access controls: Allows you to set permissions and manage user access for integration projects.

   Celigo Integrations

   Integrations include NetSuite, Salesforce, Microsoft Dynamics 365 Business Central, Oracle, SAP, Snowflake, Acumatica, Walmart, ADP, and Adobe.

   Pros and Cons

   Pros:

   • Supports embedded integrations for SaaS products
   • Real-time error monitoring and alerting
   • Visual flow builder supports complex workflows

   Cons:

   • Limited customization for some prebuilt connectors
   • Advanced features require higher-tier plans
   Learn more about Celigo:

   • Check out Celigo on their website
2. 

   2

   Skyvia

   Best for no-code ELT into cloud warehouses

   • Free plan + free demo available
   • From $79/month (billed annually)

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   Customer Rating:4.9/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Skyvia is a no-code cloud data integration platform that supports ETL/ELT pipelines, data replication, import and export workflows, two-way synchronization, and dbt-based transformations across 200+ prebuilt connectors.

   Who Is Skyvia Best For?

   Skyvia suits BI and analytics teams that want to move data from cloud apps into warehouses like BigQuery or Snowflake—without writing pipeline code.

   Why I Picked Skyvia

   I've included Skyvia in my top picks because it lets you pair visual ETL/ELT pipelines directly with dbt transformations running from a linked Git repository against your target warehouse. In practice, that means my team can replicate data from sources like Salesforce or HubSpot into BigQuery or Snowflake, then fire dbt models against it, all without leaving the platform. The Connectors SDK also lets us build custom connectors for any source with a REST or GraphQL API, which fills gaps the 200+ prebuilt connectors don't cover.

   Skyvia Key Features

   • Two-way synchronization: Syncs data bi-directionally between two sources, with field mapping, expression support, and automated scheduling to keep both systems current.
   • History mode for replication: Retains historical versions of replicated records to support analytics, auditing, and compliance reporting over time.
   • Control Flow orchestration: Sequences integrations and data flows visually, with conditional branching, variable support, and error-processing logic between steps.
   • Export format flexibility: Exports data as CSV files, with optional ZIP or GZIP compression, and writes CSV, JSON, Avro, or Parquet files to FTP, SFTP, or cloud storage destinations through Data Flow.

   Skyvia Integrations

   Skyvia offers 200+ native integrations, including Google BigQuery, Snowflake, Salesforce, HubSpot, Google Sheets, PostgreSQL, SQL Server, Amazon S3, and Shopify. Its REST API, OData, GraphQL, ODBC, and Connectors SDK support custom integrations.

   Pros and Cons

   Pros:

   • Reviewers report quick initial setup
   • Git-linked dbt transformations run in-platform
   • Visual setup reduces developer work

   Cons:

   • Large loads can queue or slow down
   • Advanced transformations need extra configuration
   Learn more about Skyvia:

   • Check out Skyvia on their website
3. 

   3

   Ketch

   Best for data privacy and compliance

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Ketch is a data privacy management platform designed to help businesses automate compliance with evolving data regulations. By providing tools for consent management, data mapping, and data subject rights fulfillment, Ketch enables organizations to handle personal data responsibly while supporting growth initiatives. 

   Why I picked Ketch: As a data integration tool, Ketch is unique in that it focuses on data privacy and compliance. One key feature is its automated data mapping which provides real-time visibility into your data landscape, automatically identifying and tracking every system in your organization, from third-party SaaS tools to custom databases. This ensures you have an up-to-date picture of your data ecosystem without manual effort. 

   Ketch Standout Features and Integrations:

   Features include always-on insights that provide continuous monitoring of your data environment, integrated action capabilities that allow you to move from visibility to activation within a single platform, and collaborative design that facilitates cross-stakeholder viewing and insights.

   Integrations include Adobe Experience Platform, AdRoll, Google Analytics, HubSpot, Salesforce, Shopify, and Snowflake.

   Pros and Cons

   Pros:

   • Customizable workflows allow adaptation to specific business needs
   • Automated data discovery
   • Provides clear data mapping across systems

   Cons:

   • Potential learning curve during setup
   • May require ongoing adjustments to stay current with evolving regulations
   Learn more about Ketch:

   • Check out Ketch on their website
4. 

   4

   Cleo Integration Cloud

   Best for supply chain data integration

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   CLEO Integration Cloud is an end-to-end supply chain integration platform designed to manage B2B complexities by automating API and EDI transactions, back-office integrations, and eCommerce/marketplace integrations. 

   Why I picked CLEO Integration Cloud: CLEO Integration Cloud offers complete business flow visibility. This feature provides a bird's eye view of business processes, allowing users to correlate invoices with orders, load tenders with responses, and easily search for critical transactions. This level of visibility is invaluable for making informed decisions quickly and efficiently. 

   CLEO Integration Cloud Standout Features and Integrations:

   Features include the ability to automate EDI and API transactions, which helps avoid slow response times, manual data input errors, and integration complexity. Additionally, the real-time business insights feature offers configurable dashboards and alerts, providing users with up-to-date information on every B2B transaction.

   Integrations include thousands of pre-built and customizable options, allowing users to be able to quickly and easily connect to a variety of systems including TMW, Trimble, Project44, Microsoft D365, SAP, NetSuite, and many more.

   Pros and Cons

   Pros:

   • The platform is scalable
   • Good data transformation capabilities
   • Real-time monitoring and visibility of data

   Cons:

   • Could offer more comprehensive reporting
   • Learning curve for new users
   Learn more about Cleo Integration Cloud:

   • Check out Cleo Integration Cloud on their website
5. 

   5

   Hevo

   Best for reliable enterprise data pipelines

   • 14-day free trial + Free demo available
   • From $239/month (billed annually)

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Hevo is a no-code enterprise data pipeline platform that helps you automate the process of collecting data from over 150 sources, loading it into your data warehouse, and making it analytics-ready. 

   Why I picked Hevo: I like its real-time data processing capability. Hevo's architecture is designed to deliver data with low latency, ensuring that your analytics are based on the most current information. Another notable feature is Hevo's automated schema management. Hevo automatically detects changes in your source schema and replicates them to your destination, keeping your data warehouse in sync without manual intervention.

   Hevo Cloud Standout Features and Integrations:

   Features include pre-load transformations that let you clean and format data on the fly, post-load data transformations to prepare your data for analytics as soon as it lands in the warehouse, and a fault-tolerant architecture that ensures data security with no data loss. 

   Integrations include MongoDB, Google Analytics, Salesforce, HubSpot, Azure Synapse Analytics, BigQuery, Snowflake, Redshift, Mailchimp, Klaviyo, WordPress, Pipedrive, and more.

   Pros and Cons

   Pros:

   • Automated error handling
   • Wide range of connectors supports various data sources
   • Real-time data transfer ensures up-to-date analytics

   Cons:

   • Editing established pipelines can be challenging
   • Pricing may be a concern for small businesses
   Learn more about Hevo:

   • Check out Hevo on their website
6. 

   6

   Adverity

   Best for marketing analytics

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Adverity is a centralized platform for connecting, transforming, and analyzing data, with a focus on marketing analytics from platforms like Google Ads.

   Why I picked Adverity: I chose Adverity because it offers a comprehensive solution for managing and analyzing data across multiple channels. It simplifies the process of integrating data from different sources. And that helps me gain valuable insights to drive effective marketing campaigns and make informed business decisions.

   Who's adverity best for?

   Adverity Standout Features and Integrations:

   Features that impressed me include its versatile pre-built connectors, powerful data transformation capabilities, intuitive marketing analytics, and the ability to select multiple accounts in the Quantcast connector. It simplifies integration with various data sources, enables effective data management, and provides valuable insights for tracking campaign performance and identifying growth opportunities.

   Integrations are pre-built and include consolidating website analytics data from Google Analytics, collecting and analyzing Facebook advertising data, and merging sales and marketing data from Salesforce.

   Pros and Cons

   Pros:

   • Extensive integrations with popular data sources and platforms
   • Strong focus on marketing analytics
   • Centralized platform for easy data connectivity and transformation

   Cons:

   • Some users may require additional customization options
   • Limited advanced analytics features
   Learn more about Adverity:

   • Check out Adverity on their website
   • Explore best alternatives to Adverity
7. 

   7

   Informatica Cloud

   Best for advanced data quality and governance

   • 30-day free limited trial
   • Pricing available upon request

   Visit Website

   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Informatica Cloud is a powerful cloud-based data integration platform that specializes in advanced data quality and governance. It offers data profiling, cleansing, and validation capabilities to help businesses streamline the integration of reliable and accurate data.

   Why I picked Informatica Cloud: As a data integration professional, I chose Informatica Cloud primarily for its comprehensive data quality and governance features. The tool's user-friendly interface and visual data mapping capabilities that simplify the integration process and reduce development time are a bonus.

   Informatica Cloud's Standout Features and Integrations:

   Features include data profiling, cleansing, matching, and enrichment. It also has 50,000+ connectors for native integration with on-premises databases, cloud applications, and big data platforms.

   Integrations are available natively with top cloud-based applications like Salesforce and Google Cloud. It also natively integrates with Oracle and MySQL. Featured connectors include Databricks, Netsuite, and Snowflake.

   Pros and Cons

   Pros:

   • Extensive integrations
   • Robust data governance features
   • Advanced data quality tools

   Cons:

   • Steep learning curve
   • Higher pricing
   Learn more about Informatica Cloud:

   • Check out Informatica Cloud on their website
   • Read my in-depth review of Informatica Cloud
8. 

   8

   Integrate.io

   Best for ETL and CDC pipelines

   • Free demo available
   • From $1,999/month

   Visit Website

   Customer Rating:4.2/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Integrate.io is a cloud-based platform for real-time ETL and CDC workflows. It offers a low-code visual builder that helps both technical and non-technical users create data pipelines with minimal engineering support.

   Why I Picked Integrate.io: I picked Integrate.io for its true low-code interface that allows non-technical users to build complete data integration and mapping pipelines visually. With dedicated solution engineer support, it’s a strong fit for teams without full-time data engineers that still require reliable real-time replication and onboarding assistance.

   Integrate.io's Standout Features and Integrations:

   Features include real-time database replication with 60-second latency, file-based data transformation workflows, and over 220 drag-and-drop transformations. It also supports both ETL and reverse ETL pipelines. The built-in Python editor adds flexibility for advanced users, while its robust security framework helps meet HIPAA, GDPR, and CCPA requirements. Additionally, the visual pipeline builder allows teams to automate data preparation without writing code.

   Integrations include Salesforce, HubSpot, Amazon Redshift, Snowflake, Google BigQuery, NetSuite, API, SFTP, Oracle, Zendesk, and over 150 additional data sources.

   Pros and Cons

   Pros:

   • Extensive data transformation options available
   • Fixed-fee pricing includes unlimited usage
   • Visual interface is easy to use

   Cons:

   • Some advanced workflows still require technical input
   • Pricing may not suit small teams
   Learn more about Integrate.io:

   • Check out Integrate.io on their website
   • Read my in-depth review of Integrate.io
9. 

   9

   Apache Airflow

   Best for orchestrating complex workflows

   • Free plan available
   • Pricing upon request

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   Apache Airflow provides a platform for designing, scheduling, and monitoring data workflows, enabling efficient and reliable data integration processes.

   Why I picked Apache Airflow: I chose Apache Airflow for its ability to handle intricate workflows and manage task dependencies. It’s a flexible and scalable architecture that offers control and reliability for data integration projects. It's also an open-source tool, making it ideal for companies on a budget that still need a powerful data integration solution.

   Apache Airflow Standout Features and Integrations:

   Features that impressed me about Apache Airflow include its complex workflows with visual representation and dependency management. It also has an extensible plugin architecture that enables simple customization and integration with various systems and tools. Lastly, Airflow's precise task scheduling, along with comprehensive monitoring and logging, ensures efficient workflow management.

   Integrations are available natively with popular databases like MySQL, PostgreSQL, and Oracle. It also integrates with major cloud platforms like AWS and GCP, and it supports integration with messaging systems like Apache Kafka and RabbitMQ.

   Pros and Cons

   Pros:

   • Strong community support
   • Precise task scheduling and monitoring
   • Advanced workflow orchestration

   Cons:

   • Limited built-in connectors and integrations compared to commercial solutions
   • Managing and scaling Airflow deployments can be challenging for large-scale environments.
   Learn more about Apache Airflow:

   • Check out Apache Airflow on their website
10. 

    10

    AWS Glue

    Best for integration on AWS

    • Free plan available
    • From $0.44/DPU-hour

    Visit Website

    

    AWS Glue is a powerful data integration tool that specializes in fully managed cloud-based extract, transform, load (ETL) processes and data integration on the Amazon Web Services (AWS) platform.

    Why I picked AWS Glue: I chose AWS Glue because it’s a fully managed, scalable, and reliable solution for cloud-based data integration on AWS. It’s an ETL platform that allows me to easily process and integrate data from various sources within the AWS ecosystem.

    AWS Glue Standout Features and Integrations:

    Features include its automatic schema discovery from diverse data sources, efficient job orchestration for ETL workflows, and the convenience of a centralized data catalog for metadata management and data lineage tracking.

    Integrations are available natively with popular AWS services, including Amazon S3, Amazon Redshift, Amazon RDS, Amazon Athena, Amazon QuickSight, and Amazon SageMaker.

    Pros and Cons

    Pros:

    • Enhanced data governance
    • Automatic schema discovery
    • Fully managed and scalable cloud-based ETL solution

    Cons:

    • Some users may require additional AWS services for comprehensive data integration needs
    • Limited integration options with non-AWS services
    Learn more about AWS Glue:

    • Check out AWS Glue on their website