Data Integration Software - Options for 2026

Data Integration and ETL software is foundational to any organisation seeking to connect systems, move data reliably, and build trustworthy analytics, reporting, and AI capabilities. As data volumes grow and architectures shift toward cloud, hybrid, and real-time environments, the choice of integration platform has become increasingly important.

If your organisation is exploring new Data Integration or ETL software in 2026, this guide outlines the major solutions available and provides a clear overview of the leading platforms to support your early-market scan.

Viewpoint Analysis is a technology matchmaker. We help Data, Analytics, and IT leaders to find and select the right technology partners. If you are looking for data technology, take a look at our range of data content for vendor ideas and category explainers.

Most data teams are focused on delivering insights, not surveying the data integration landscape. Viewpoint Analysis runs super-fast selection processes to quickly narrow the field and make vendor evaluation dramatically easier.

What is Data Integration and ETL Software?

Data Integration and ETL (Extract, Transform, Load) software enables organisations to collect data from multiple systems, prepare it for analysis, standardise formats, and move it into databases, cloud data warehouses, data lakes, and operational systems.

Modern platforms now combine ETL, ELT, streaming pipelines, API integration, data orchestration, and workflow automation. Many also support cloud-native data movement, reverse ETL, and real-time event streaming. Most of the leading options will have a selection of integration options that can be selected as and when the customer needs it.

What does Data Integration and ETL Software do?

Data Integration and ETL platforms extract data from a wide range of systems, transform it into usable formats, apply business rules, and load it into target environments. They automate and orchestrate the movement of data across applications, databases, cloud services, SaaS platforms, and analytics tools.

These platforms support scheduled and real-time pipelines, data quality rules, metadata management, API connectivity, workflow orchestration, and the monitoring and governance required for reliable data operations. Increasingly, modern solutions support low-code development, AI-assisted pipeline building, and auto-scaling cloud execution.

How does Data Integration and ETL Software work with other company applications?

Data integration platforms sit between source and destination systems, connecting the full data ecosystem. They integrate with operational applications, CRM and ERP platforms, finance and HR systems, cloud data warehouses, data lakes, iPaaS platforms, analytics tools, API gateways, and event streaming frameworks.

This allows organisations to synchronise customer data, unify financial information, automate data flows for reporting, enrich analytics models, enable data science workloads, and ensure consistent, trusted data across departments. Many solutions also integrate with governance and catalogue tools to maintain data lineage and compliance.

Key Data Integration and ETL Providers in 2026

Below is a list of the major and emerging Data Integration and ETL platforms operating in the UK and internationally (listed in no specific order). This list aims to help organisations quickly identify the platforms most relevant to their requirements:

Informatica Intelligent Data Management Cloud (IDMC) remains one of the most comprehensive data integration platforms on the market, with strong ETL, ELT, data quality, governance, and metadata capabilities. It is widely adopted across large and complex organisations moving to the cloud or operating hybrid data architectures.

Microsoft Azure Data Factory provides a cloud-native integration platform with strong pipeline orchestration, native ELT capabilities, tight integration with Azure Synapse and Microsoft Fabric, and a broad set of connectors. It is a common choice for organisations standardising on Azure.

AWS Glue offers serverless ETL, workflow orchestration, and metadata management with strong integration into the AWS data stack, including S3, Redshift, Athena, and EMR. It is often selected for cloud-native and event-driven data pipelines.

Google Cloud Dataflow and Cloud Data Fusion provide powerful cloud integration capabilities for organisations building streaming, batch, or ELT pipelines on Google Cloud. They integrate tightly with BigQuery and support large-scale data engineering workloads.

Talend, now part of Qlik, remains a widely used open and cloud-based data integration platform. It provides strong ETL and data governance features and is chosen for its hybrid flexibility and enterprise features.

Fivetran offers fully managed ELT pipelines with automated schema management and minimal maintenance overhead. It is especially popular with organisations wanting fast, low-effort data replication into cloud warehouses.

Matillion is a cloud-native ELT platform designed for Snowflake, BigQuery, Redshift, and Databricks. It is well known for its ease of use and rapid pipeline development.

SnapLogic provides a powerful integration platform with strong AI-driven automation and extensive connectors. It supports application integration, API management, and ETL/ELT across hybrid environments.

Boomi is a long-standing integration platform-as-a-service (iPaaS) that supports application integration, API management, and data synchronisation. It is frequently chosen for organisations with diverse SaaS ecosystems.

IBM DataStage continues to be used across large enterprise environments requiring highly controlled, scalable ETL with strong governance. Many organisations still depend on DataStage for mission-critical pipelines.

Oracle Data Integrator (ODI) provides strong ELT capabilities and tight integration with Oracle databases, middleware, and applications. It is often chosen by organisations standardising on Oracle.

SAS Data Management continues to appear in data integration environments, particularly in regulated sectors such as financial services, life sciences, and government.

Qlik Data Integration (formerly Attunity) offers high-performance data replication and change data capture (CDC), making it well-suited to real-time data movement and cloud migration.

StreamSets (part of Software AG) provides a modern data ingestion and pipeline monitoring platform used for hybrid, multi-cloud, and real-time data flows.

This is not an exhaustive list, but it represents the major and most active data integration and ETL providers selected by UK and global organisations today.

How to Select the Right Data Integration and ETL Software

Selecting Data Integration or ETL software depends heavily on data architecture, cloud strategy, system landscape, data engineering maturity, and the complexity of operational and analytical data flows.

Organisations should consider the scale and volume of data pipelines, the need for real-time or streaming capabilities, whether they require ETL, ELT, or both, cloud and hybrid deployment preferences, integration with their chosen data warehouse or lakehouse, data governance requirements, and the skillset of the data engineering team.

Teams should also determine whether they prefer fully managed pipelines, code-first frameworks, low-code orchestration, open-source flexibility, or enterprise-grade governance. For many, future plans for AI, advanced analytics, or large-scale cloud modernisation heavily influence this decision.

Viewpoint Analysis Can Help

Viewpoint Analysis helps organisations find and select the right technology partners quickly and confidently.

Our Technology Matchmaker Service helps organisations explore new ideas, discover potential partners, and understand the vendor landscape long before a formal project begins. It's a great way to quickly assess the data technology marketplace and it lets Viewpoint take the weight off your team. Just sit back and listen to how different vendors can help.

Our Rapid Vendor Selection approach provides an accelerated, independent comparison of relevant data integration vendors — enabling teams to make well-informed decisions with minimal disruption to data operations.

Our 30-Day Technology Selection service is ideal for organisations wanting to rapidly shortlist and select a Data Integration or ETL platform. We combine structured selection methods with market insight to cut months of work into a focused 30-day process.

If you'd like help selecting the right platform, choosing between shortlisted vendors, or exploring the Data Technology market, Viewpoint Analysis can support you throughout.

Have we missed anything?

This list focuses on the major Data Integration and ETL providers used in the UK and internationally. If there is a vendor you think should be added, or if you would like help assessing whether a particular platform is right for your organisation, please let us know - we’ll keep this list updated each year.

Want help exploring Data Integration or ETL options?

Visit www.viewpointanalysis.com or contact Viewpoint Analysis to begin your data platform selection with clarity and confidence.