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The agile solution for modern data integration

Matillion ETL has a cutting-edge, browser-based user interface and strong, push-down ETL/ELT functionality.

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    Unleash the power of your data warehouse with Matillion ETL. Millions of rows are processed in a matter of seconds by Matillion ETL, which provides real-time feedback.

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    Create a modern environment that uses browsers. It includes functionality such as version control, read, write, join, and transform components, and full-featured graphical task development.

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    Build a modern, browser-based environment. There are numerous read, write, join, and transform components, as well as capabilities for teamwork, version control, and fully integrated graphical job development.

Features of Matillion

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    Cloud database platforms like Amazon Redshift, Google Big Query, Snowflake, and Azure Synapse are designed particularly for ETL/ELT tools.

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    Modern, browser-based UI.

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    Powerful push-down ETL/ELT functionality.

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    Fast setup.

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    Pricing is based on server hours.

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    Launch and develop ETL jobs within minutes.

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    In a few seconds, analyze millions of records with real-time feedback.

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    Import/export, version control, and server-side undo.

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    A fully functional graphical job development system.

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    More than 20 read, write, join, and transform elements for data.

To maximize the return on your cloud computing investment, make use of the Matillion tool

Highlights of our Matillion Services

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    Design and build complex data pipelines.

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    Extract data from MongoDB, MSSQL, and other data sources and load it into AWS Redshift / Snowflake.

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    Extract data from Third-party through API calls.

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    Extract data from Twilio, Sendgrid, etc..

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    Handle complex JSON parsing.

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    Handle a large volume of data

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    Work with SFTP and FTP connectors to handle large-volume data files.

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    Deploying managed code versions to development, staging, and production servers using Bit Bucket.

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    Expertise in Matillion Setup, Version Upgradation, and Migration.

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    Work with WLM, Vacuum, and Analyze Components for performance fine-tuning.

Mattilion ETL Business Use Cases

Matillion Use Case 1 - Change Data Capture

Change Data Capture (CDC):

Continuously capture operational data updates. Maximize productivity and gain complete visibility with Matillion.

Matillion Use Case 2 - ETL/ELT Simplified

ETL/ELT Simplified:

Integrate data seamlessly into cloud platforms without coding. Break down data silos for faster business outcomes with Matillion.

Matillion Use Case 3 - Reliable Database Replication

Reliable Database Replication:

Ensure data resilience with real-time database replication. Keep databases in sync securely and reliably with low latency using Matillion.

Matillion Use Case 4 - Effortless DataOps

Effortless DataOps:

Streamline operations and automate pipelines effortlessly. Save time and boost efficiency to create business-ready data in minutes with Matillion.

Matillion ETL Best Practices

Matillion ETL Best Practices 1 - Migrate Data From One DB To Another DB

Migrate data from one DB to another DB using the Database Query Component

Matillion ETL Best Practices 2 - Track Scheduled Job Running Status

Audit Table Implementation to track the scheduled job's running status

Matillion ETL Best Practices 3 - Extract Data From Matillion Log

Extract data from the Matillion log and get the scheduled job details, like running time, and updated row counts for Analytics

Matillion Best Practices 4 - Implementation Of Error Handling Mechanism

Implement an error-handling mechanism in each step of the transformation to avoid data issues

Matillion ETL Best Practices 5 - Data Validation

Data validation (like a duplicate check) is a step in all our jobs to improve data quality

Matillion ETL Best Practices 6 - AWS SNS Implementation

AWS SNS Notification is implemented to notify users if jobs fail through mail and messaging channels

Don't wait any longer, act now to achieve your goals

Utilize our cloud-based data platform that enables you to streamline, speed up, and work without restrictions to integrate next-generation ELT into your modern data stack.

Don't know how to handle complex and time-consuming ETL processes?

Prowesstics has a team of dedicated experts who are ready to consult with those who are interested in migrating from Azure Data Factory(ADF) to Matillion. Our experts have in-depth knowledge of both ADF and Matillion, enabling them to understand your unique requirements and provide tailored solutions. They will work closely with you to ensure a seamless and efficient migration process.


1. What is the use of Matillion?

Matillion is a cloud-native data integration platform that is used to extract, transform, and load (ETL) data from various sources into cloud data warehouses, such as Amazon Redshift, Snowflake, and Google BigQuery.

2. Is Matillion an ETL tool?

Yes, Matillion is an ETL (Extract, Transform, Load) tool designed to help businesses integrate and transform data from various sources into their data warehouses or cloud-based data platforms.

3. What are the benefits of using Matillion for data integration?

Matillion is a cloud-based data integration platform that allows organizations to easily move and transform data from various sources into a unified, usable format. The benefits of using Matillion for data integration include:

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