Best Data Integration Tools (2026): Top 10 Compared

Fivetran is a hosted service that copies data from SaaS applications, databases and files into a warehouse or lake. The Standard plan lists more than 700 fully managed connectors, 15-minute syncs, unlimited users, role-based access control, the REST API, SSH tunnels and a dbt Core integration. Enterprise adds 1-minute syncs, enterprise database connectors, custom roles, SCIM and a hybrid deployment option, and Business Critical adds customer-managed encryption keys, PCI DSS Level 1 certification and private networking.

Billing is based on monthly active rows. Inserts, updates and deletes count; unchanged rows and initial syncs do not. The spend rate per million rows falls as volume rises. Transformations are billed separately per model run, free up to 5,000 runs a month.

For a buyer, the trade-off is forecasting. The published connection examples help, but the actual bill depends on how often source rows change, which is easiest to measure during the 14-day trial on each connection.

Airbyte began as an open-source data movement project and still offers that code as Airbyte Core, free to run on a team's own infrastructure. The paid plans add hosting, upgrades and support around the same catalogue of more than 700 connectors.

Pricing follows two models. Standard and Plus are fully managed cloud plans billed in credits that pay for the resources used when a sync runs. Standard starts at $20 a month with 5 credits; Plus sells credit packages from 40 credits for $189 a month to 2,000 credits for $4,999 a month. Pro and Enterprise Flex are priced on capacity in Data Workers, each of which typically runs about three syncs at once, so the bill does not rise with data volume.

Enterprise Flex is the option for regulated data: processing runs in the buyer's VPC, on premises or across regions, with Airbyte operating the control plane. A buyer comparing hosted plans should note that credit consumption varies by source type, so a trial against real sources gives a better estimate than the per-GB guide on the page.

Stitch is a hosted replication service, now a Qlik product, that connects to more than 130 sources and loads them into a warehouse, lake or lakehouse. Its model is simple: choose a row allowance, configure sources once and monitor the syncs.

Standard starts at $100 a month for 5 million rows and can be raised in steps to 300 million rows. It allows 10 standard sources, one destination, five users and 7 days of extraction logs. Advanced, at $1,500 a month billed annually, opens unlimited enterprise sources, three destinations, unlimited users and 60-day log retention for 100 million rows. Premium, at $3,000 a month billed annually, raises the allowance to 1 billion rows and five destinations.

The homepage states that Stitch is now part of Qlik and that Qlik is building the best of its technology into Qlik Talend Cloud. Buyers committing to an annual Advanced or Premium contract should ask how long Stitch will be sold as a separate product.

Rivery is a hosted ELT service. Its product page describes database replication through change data capture, SQL or Python transformations into business data models, workflow control with conditional logic, containers and loops, and reverse ETL that pushes warehouse data into tools such as a CRM or Slack. Custom connections cover sources without a built-in connector, and a generative AI connector agent helps build new ones.

Pricing is in credits. The pricing page calls them Boomi Data Unit (BDU) credits, also known as Rivery Pricing Unit credits, and Rivery's documentation and community forum are hosted on Boomi domains. Base costs $0.90 per credit on monthly billing. Professional, Pro Plus and Enterprise are sold through sales.

The free trial is generous by the standards of this page: 14 days or 1,000 credits worth $1,200. A team can use that allowance to measure how many credits its real pipelines consume before choosing a plan.

dlt is an open-source Python library for loading data from APIs, databases and files into structured datasets. It is installed with pip and runs wherever Python runs, including Airflow, serverless functions and notebooks. The documentation describes a REST API source in which the engineer declares endpoints, pagination and authentication, and dlt handles extraction, schema inference, schema evolution and incremental loading.

The library is free under Apache 2.0, and dltHub states that it will stay under that licence. The paid product, dltHub, adds a managed runtime, transformations and data apps, data quality checks, an observability dashboard and team workflows. It costs $12,000 a month with 5,000 credits, on a 12-month minimum, with a 14-day trial that includes $30 of credits.

The buyer decision is mainly about staffing. dlt suits a team with Python engineers who want pipelines reviewed and deployed like other code; it does not offer the browser-configured connector catalogue of the hosted services on this page.

Meltano is an open-source, code-first data integration engine. Pipelines are built from extractors and loaders: extractors pull from SaaS APIs, databases and files, and loaders write to databases, warehouses, lakes and vector databases. The GitHub repository is MIT-licensed, and the Meltano SDK lets developers build Singer connectors for niche or internal sources.

Two editions are offered. Meltano Open is self-hosted and free, with paid support available. Meltano Cloud runs the infrastructure and adds monitoring and alerts. Its tiers are set by compute hours: Starter at 200 hours a month, Growth at 2,000, Scale at 5,000 and Enterprise unlimited, with engineering support hours rising by tier. The pricing page does not publish dollar figures.

For a buyer, Meltano sits close to dlt: both suit engineers who want pipelines as code. Meltano's difference is a large catalogue of ready connectors, 600-plus by its own count, available without a paid plan.

CData Sync is replication software that a buyer can install on premises, run in its own AWS or Azure account or use as a CData-hosted cloud service. The product page lists more than 250 sources and destinations that include Snowflake, Databricks and Microsoft SQL Server. Incremental replication and automatic schema change handling are included, and transformations can run through dbt Core, dbt Cloud or custom SQL. Sync can also push warehouse data back to applications.

The self-hosted Standard edition costs $7,999 a year for five connections and 100 million processed rows a month. Hourly editions on the AWS and Azure marketplaces start at $2.74 an hour for ten connections and $4.87 an hour for twenty. Change data capture from Oracle, SQL Server, IBM DB2 and PostgreSQL, unlimited rows, premium connectors, RBAC and SSO are quoted add-ons.

The fit is a team whose security rules exclude a vendor-hosted pipeline. Buyers that need CDC should obtain the add-on quote before comparing totals.

Skyvia, from Devart, is a cloud integration service that runs in a browser. Its Data Integration product combines import with transformations, export to CSV on FTP or file storage, replication into databases and warehouses, bi-directional synchronisation, a Data Flow designer for multistage pipelines and a Control Flow designer for retries and error handling. All of it is configured visually without code, across more than 200 connectors.

Pricing is set by records a month. Free allows 10,000 records and two scheduled integrations. Basic starts at $79 a month billed annually, or $99 monthly, for 5 million records with daily scheduling. Standard adds hourly scheduling and advanced mapping, and Professional adds minute-level scheduling and unlimited scheduled integrations. Enterprise is quoted.

Skyvia's two-way sync sets it apart from the warehouse-loading services on this page. A team that needs to keep a CRM and a database in step can do that in the same plan that loads its warehouse.

Azure Data Factory is Microsoft's managed service for hybrid ETL, ELT and data integration. Pipelines group activities that copy data between on-premises and cloud stores, transform it and control flow with branching, parameters and loops. Mapping data flows let engineers build transformation graphs that run on Spark clusters the service manages, and external activities hand work to Azure Databricks, HDInsight or Azure SQL Database. The integration runtime can be Azure-hosted, inside a managed virtual network or self-hosted on a buyer's own machines.

Pricing is pay-as-you-go across several meters. In East US, orchestration costs $1 per 1,000 activity runs on the Azure runtime, cloud data movement $0.25 per DIU-hour and General Purpose data flows about $0.27 per vCore-hour.

Microsoft's own overview now states that Data Factory in Microsoft Fabric is the next generation of the service and recommends Fabric to new users. Existing Azure Data Factory customers can stay or plan an upgrade.

Cloud Data Fusion is Google Cloud's managed service for building data pipelines visually. It is powered by the open-source CDAP project and offers plugins for sources, transforms, aggregates and sinks. Pipelines run on Managed Service for Apache Spark, the current name of Dataproc. Every edition supports triggers and schedules, a REST API and source control, and a Developer SDK for writing new plugins.

Pricing has two parts. Development is billed per instance hour: $0.35 for Developer, $1.80 for Basic after 120 free hours a month per account, and $4.20 for Enterprise. Execution is billed at Spark rates for the clusters Data Fusion creates. Google's own example puts 24 hours of an Enterprise instance at $100.80 before execution costs.

Google notes that a provisioned instance must stay available, so it is billed for each hour it exists. Teams with light or occasional workloads should compare that standing cost with the usage-billed tools on this page.