Top 12 Data Integration Tools in 2026

1. dltHub

Best for: Python data teams that want coding agents to build, deploy, and debug pipelines on a managed platform, with RBAC, audit logs, and SSO on the Enterprise plan.

dltHub runs pipelines, transformations, and data apps on a managed runtime. A job is a Python function decorated with @run.pipeline, and its schedule is defined in the same code. Coding agents in Claude Code, Cursor, and Codex use the AI Harness's 10 toolkits to build pipelines from about 10,000 possible connectors. Before each load, a schema contract accepts, blocks, or quarantines each schema change according to rule. After a failed run, the verified job-inspector agent returns the likely cause, a proposed fix, and the evidence. dltHub has SOC 2 Type 1, with Type 2 in progress, and the Enterprise plan adds RBAC, audit logs, SSO, and SCIM provisioning.

Pricing: One credit equals one hour of runtime at the standard rate. The dltHub plan costs USD 12,000 per month for 5,000 credits, with a 12-month minimum. Enterprise pricing is custom. The trial is 14 days with USD 30 in credits.

What stays your job: you review the Python pipeline code, from your team or from a coding agent, and you select the runner sizes. dltHub runs the runtime, schedules the jobs, and monitors them.

When another option is the better pick: dltHub is code-first and has no visual builder. It runs as a managed service. To run pipelines in your own cloud, you need a bring-your-own-cloud (BYOC) setup that dltHub designs with you. If compute must stay in your own network as a standard option, or procurement needs SOC 2 Type 2 now, look at Informatica.

2. Informatica IDMC

Best for: enterprise teams that need complex transformation, column-level lineage, data quality, catalog and policy controls in a single platform, with processing near on-premises data.

Informatica Intelligent Data Management Cloud (IDMC) covers integration, data quality, governance, catalogs, master data management, and lineage. For impact analysis, its lineage reads transformation logic from SQL scripts, stored procedures, BI reports, and ETL jobs. Secure Agents process data near on-premises or private-cloud data. Informatica became part of Salesforce on 18 November 2025. It publishes a SOC 2 Type 2 report, is ISO 27001 compliant, and has a FedRAMP Moderate authorization.

Pricing: you buy Informatica Processing Units (IPUs) in packages. Informatica does not publish IPU rates. If you use more IPUs than your subscription, you must buy more for the rest of the term.

What stays your job: you operate and tune the Secure Agents near your data. You also compare your IPU use with the package you bought.

When another option is the better pick: reviewers report a steep learning curve and difficulty troubleshooting Secure Agents. This is less important if a central team already operates Informatica. If you use Azure, consider Azure Data Factory. If your team writes Python, consider dltHub.

3. Azure Data Factory

Best for: Azure teams that orchestrate transformation across cloud and on-premises sources, including teams that move SSIS packages to Azure.

Data Factory runs visual mapping data flows on Spark. A self-hosted integration runtime moves data between the cloud and on-premises or private-network stores. An Azure-SSIS runtime runs existing SSIS packages. Microsoft claims more than 90 built-in connectors. Azure’s SOC reports and HIPAA BAA include Data Factory. Microsoft says that Data Factory in Fabric is the next generation of the product.

Pricing: published for each meter (East US, USD):

• USD 1 per 1,000 activity runs
• USD 0.25 per DIU-hour of data movement
• USD 0.27325 per vCore-hour for General Purpose data flows
• USD 1.50 per 1,000 runs on the self-hosted runtime

No fees for seats, rows, or connectors.

What stays your job: you operate the self-hosted integration runtime machines for on-premises sources. You also monitor each meter on the bill, including debug runs.

When another option is the better pick: Data Factory is for teams on Azure. If you use Fabric, look at Data Factory in Fabric. If you need lineage and data quality in the same product, look at Informatica.

4. Fivetran

Best for: analytics teams that want the vendor to operate pipelines from SaaS apps, APIs, and databases into a cloud warehouse or data lake.

Fivetran performs an initial historical sync. Incremental syncs merge only new or changed rows into the destination. Fivetran automatically handles changes to schemas, custom objects, and source API versions. It claims 700+ pre-built connectors. It runs as a managed service or in hybrid mode, where an agent processes data in your network. Hybrid mode requires the Enterprise or Business Critical plan.

Pricing: Fivetran charges based on monthly active rows (MAR), the number of rows it inserts, updates, or deletes. Since March 2025, each connection has its own cost curve. Fivetran’s FAQ notes that accounts with many similarly sized connections can pay more under this model. A standard connection has a base charge of USD 5 for up to 1 million MAR. The free plan includes 500,000 MAR per month. Fivetran does not publish MAR rates for paid plans.

What stays your job: you monitor MAR for each connection. These actions add to the bill: re-syncs that change rows, new tables and columns, and a connection that you unpause.

When another option is the better pick: in Fivetran, you cannot write the pipeline yourself. If your team wants to own the pipeline code for APIs that Fivetran does not cover, consider dltHub or the Airbyte Connector Builder.

5. Matillion

Best for: teams on Snowflake, Databricks, Redshift, or BigQuery that want visual, low-code ELT, hosted by Matillion or in their own cloud.

Matillion builds ingestion and transformation pipelines and pushes transformations into the warehouse. It claims 150+ pre-built connectors and a no-code custom connector for any REST API. It also offers log-based CDC pipelines. Its Maia AI features build pipelines from natural-language prompts and became generally available in June 2025. The platform was previously called Data Productivity Cloud, and its new name is Maia Foundation. Hybrid SaaS, where you run the agents in your own cloud, is available only on Enterprise.

Pricing: Matillion charges credits per pipeline task hour. It measures usage per second and bills by the hour. Each additional developer user costs 70 credits a month. The plans are Developer, Teams, and Scale. Matillion’s pricing page doesn't list a price per credit. The trial is 14 days with 500 credits.

What stays your job: you build pipelines from drag-and-drop blocks. You also size the warehouse compute, because the pushdown transformations run on it.

When another option is the better pick: Matillion is low-code. If your engineers want to review pipelines as Python code in pull requests, look at dltHub.

6. Airbyte

Best for: teams that must select where the data plane runs: in Airbyte’s cloud, in their own cloud or network, or in a self-hosted edition.

Airbyte replicates data from SaaS apps, APIs, and databases into warehouses and data lakes. It claims 700+ connectors. It also includes a No-Code Connector Builder and a development kit for custom sources. It supports log-based CDC for PostgreSQL, MySQL, and SQL Server. Enterprise Flex splits the platform. Airbyte runs the control plane, and the data plane runs in your cloud, VPC, on-premises, or air-gapped environment.

Pricing: Standard costs USD 20 per month with 5 credits, plus USD 5 per additional credit. API sources use credits by row, and databases and files use credits by GB. Pro and Enterprise Flex use capacity-based pricing. If credits run out, syncs continue, and Airbyte bills overage in arrears.

What stays your job: you check each connector's support label. On Enterprise Flex or the self-hosted edition, you also operate the data plane.

When another option is the better pick: the Airbyte catalog includes connectors Airbyte maintains and Marketplace connectors contributors maintain. Check the support label in the catalog. If you want the vendor to maintain all connectors, look at Fivetran.

7. Qlik Replicate

Best for: data engineering and DBA teams that operate their own replication servers and need continuous copies of many database types.

A Replicate task runs a full load first. Then it starts change processing: it reads events from the transaction log, groups them by transaction, and applies them after the commit. A remote log reader does the capture, so the sources need no agent. Replicate also replicates schema changes, for example, added columns. It runs self-hosted, on-premises, or in your cloud. Qlik also owns Talend.

Pricing: quote-based. An AWS Marketplace contract shows USD 10,000 for 12 months, covering one single-core database source and one target. For BigQuery targets, streaming is enabled by default, and Qlik warns that it can increase the bill.

What stays your job: you operate and size the Replicate servers. You also negotiate the license with the Qlik sales team.

When another option is the better pick: if you don't want to run your own replication servers, consider AWS DMS or OCI GoldenGate, which Oracle manages.

8. Oracle GoldenGate

Best for: teams that keep a replica, warehouse, or lakehouse continuously in sync with Oracle and other operational databases.

The GoldenGate Extract process captures committed inserts, updates, and deletes from the transaction log and writes them to trail files. A Replicat process then applies them to the target. GoldenGate moves only committed transactions, captures DDL where it is supported, and replicates across database types. Oracle claims delivery in milliseconds to single-digit seconds in well-tuned deployments. Oracle also claims more than 2.5 million rows per second in a lab benchmark. You can run GoldenGate yourself, or use OCI GoldenGate, where Oracle manages the infrastructure, patching, and upgrades.

Pricing: OCI GoldenGate costs USD 1.3441 per OCPU-hour for 1 to 24 OCPUs, or you can bring your own license. Auto-scaling can increase capacity to three times the configured OCPUs. Oracle bills the capacity that you use.

What stays your job: you configure Extract and Replicat, and you monitor lag. Reviewers say that this needs extra setup. With customer-managed GoldenGate, you also run the infrastructure and handle upgrades.

When another option is the better pick: reviewers report that configuration and troubleshooting need experienced DBAs. If your databases are on AWS and a few minutes of lag is acceptable, consider AWS DMS.

9. AWS DMS

Best for: teams on AWS that keep Amazon RDS, Aurora, Redshift, or S3 in sync with an operational database, for a migration, or as a replica.

DMS runs a full load plus CDC, or only CDC for targets that already have data. It reads changes via each source engine’s native log API. It can stop and resume from a checkpoint. DMS Serverless automatically provisions capacity. AWS’s own docs state that ongoing replication is not real-time, CDC latency has no SLA, and lag can be several minutes under heavy load. Amazon Timehub, a customer case published by AWS, reports a p95 latency of 30 seconds.

Pricing: hourly, for replication instances or serverless capacity, plus log storage. Data transfer out of an Availability Zone or Region costs more.

What stays your job: you size the replication instances or select Serverless, and you tune the CDC task settings. You also monitor latency, because AWS gives no latency SLA.

When another option is the better pick: DMS is available only as an AWS-managed service. If you need sync from Oracle in less than one second, look at GoldenGate.

10. Workato

Best for: business and IT teams that automate multi-step processes across CRM, ERP, finance, HR and support apps, with central IT governance.

In Workato, you build “recipes”: workflows of triggers, actions, conditions, loops, and error handling between apps. Triggers can be real-time, polling, or scheduled. An on-prem agent connects to internal systems without exposing them to the internet. Workato claims more than 1,000 connectors. It also builds AI agents and MCP servers.

Pricing: Workato Free includes a one-time grant of 50,000 credits. Workato Pro pricing ranges from USD 75/month for 2,500 credits to USD 1,275/month for 50,000 credits. Enterprise editions are quote-based. Each action step that runs counts toward usage. A loop step counts once per iteration.

What stays your job: you build and maintain the recipes. You also monitor usage in loops and recipe functions, because each step counts.

When another option is the better pick: standard jobs stop after 90 minutes, and reviewers say Workato isn't good for high-volume batch loads. For bulk analytics loads, look at the ELT section.

11. MuleSoft Anypoint Platform

Best for: enterprise integration and platform teams that connect CRM, ERP, databases, and SaaS across cloud and on-premises systems, and govern the APIs between them.

Anypoint Platform covers API and integration design, an asset exchange, API management, and runtime management across CloudHub and customer-managed servers. DataWeave handles mapping, and Mule apps can serve as MCP servers and clients. MuleSoft publishes a SOC 2 report (latest period ends 30 April 2026), a PCI attestation, and ISO 27001. It offers a BAA through an account representative. It has FedRAMP Moderate for Government Cloud. Salesforce acquired MuleSoft in 2018.

Pricing: plans start at USD 2,000 a month, and all other prices are quoted. Contracts are capacity-based or usage-based, and meter flows, messages, and throughput. Usage counts in all environments, including sandbox.

What stays your job: you design and govern the APIs and Mule flows. You also monitor the billable flows.

When another option is the better pick: reviewers report high costs and a steep learning curve for teams new to API-led integration. If business teams must automate processes themselves, look at Workato.

12. Boomi

Best for: mid-market and enterprise IT teams that sync SaaS with on-premises or legacy apps, with runtimes near protected systems.

Boomi Enterprise Platform has a cloud control plane. Integrations run on runtime clouds that Boomi hosts, or on runtimes that you host on-premises or in your cloud. It has a drag-and-drop process canvas, field-level maps, and 1,000+ connectors (vendor claim). Boomi bought Rivery in December 2024 and sells it as Boomi Data Integration. Boomi has SOC 2 Type II, ISO 27001

Pricing: pay-as-you-go costs USD 99/month plus USD 0.05 per message, with unlimited users and connections. Annual editions are quote-based. The trial is 30 days.

What stays your job: you operate customer-hosted runtimes, if you use them. Reviewers report that you must manually apply new connector versions to each integration.

When another option is the better pick: on public runtime clouds, Boomi limits simultaneous executions to 20–100, by account, and limits each process execution to 24 hours. For high-throughput loads, look at customer-hosted runtimes or the ELT section.