Extract data from almost any data source and ingest it into your cloud data platforms, without having to worry about coding or infrastructure.
Matillion Data Loader is perfect for organizations that have data coming in from an ever increasing number of sources and need faster, simpler access to insights and analytics.
Build batch and CDC pipelines in minutes without SQL or coding with our intuitive user interface and easy wizard configuration.
Ingest data faster with a hybrid SaaS architecture, CDC capabilities, and pre-built data connectors to the most popular sources.
Ensure your data is there when you need it with automated runs at intervals set by you, as well as automatic schema drift correction.
Use an extensive inventory of pre-built, out-of-the-box data connectors to the most popular applications and databases.
See how you can quickly connect and integrate data from all your data sources into leading cloud data platforms and perform powerful transformations to deliver value to your business.
Easy credit PAYG system based on the number of batch and CDC rows loaded per month, with competitive pricing and a tiered consumption model that lowers the cost per row as volume increases.
A full-featured solution to grow with your evolving demands: API-based automation to manage hundreds of data pipelines in one place, VPN security and governance, and user control, with enterprise SLA guarantees.
Using Matillion Data Loader change data capture, we unlock the ability to deliver complex insights significantly faster. Matillion Data Loader led to a 95% improvement in time-to-complete over previous solutions, which is a real game-changer for us.Anup Doshi, CTO, Engage3
Deals close all the time and if you don't have accurate data, people start questioning why it's lagging. Without it being automated, we would have to pay someone to manually update the data. If it's not automated, it won't happen.Pierce Ujjainwalla, CEO, Knak
Matillion Data Loader has a simple user interface making data loading easy for analysts and engineers alike.Patrick Hildreth, Senior Data Warehouse Lead, Cimpress