Talend Solutions

Data Integration
and ETL

Connect, transform, and manage more data, more easily

Faster than hand coding and less expensive than proprietary tools, Talend data integration and ETL tools deliver flexibility, speed, and scale to match the volume and complexity of today’s data requirements. Our open, scalable architecture helps you maximize the value of data to your business without extending your budget.

ETL to a Data Warehouse

Accessing high quality data is the first step to enabling analytics. Creating connectors and transformations to parse, aggregate, cleanse and enrich data from different sources into a data warehouse can take months of hand coding. Talend’s drag-and-drop graphical UI makes it easy to develop and deploy ETL and data integration jobs up to 10 times faster.

White Paper

An Inside Look at How Top Companies Tackle Data Integration with Talend

Improving BI and Analytics

The deeper your data goes, the better your BI and analytics can be. With over 900 components and connectors and data governance controls, Talend helps connect data across ERP, CRM, web applications and other siloes for easier ETL with BI and analytics, on premises and in the cloud, giving you access to the full picture of your data with great data quality.

Customer Success

Land Registry improves BI with Talend

Data Migration and Consolidation

To keep data consistent across heterogeneous systems with different data formats requires on-going, complex data mapping with your ETL solution. Talend provides one platform to extract, transform, and load across all your data sources. Graphical drag-and-drop tools and 900+ components and connectors make it easy to map and transform data.

Webinar

Talend Open Studio for Data Integration

Data Quality Everywhere

Gartner estimates that poor data quality costs large firms an average of $14.2 million a year. Talend embeds data quality across the platform. End-to-end profiling, cleansing, matching, and monitoring capabilities enable you to identify anomalies, standardize data, resolve duplicates, and monitor data quality over time.