Excellent AWS Data Integration Platform
Updated November 25, 2020
Excellent AWS Data Integration Platform
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Matillion
Matillion is used by the software department for data integration, for syncing up data from the OLTP database to the OLAP system, and populating data for our data warehouse.
- Easy to build data integration job
- compatible with AWS cloud platform
- lots of components for different use cases
- No powerful job monitor console
- Flexibility for supporting scripting languages
- Expensive license fees
- License fees are expensive.
It's easy to set up an environment and start a project quickly.
Matillion is fully designed for AWS Cloud products, and aligned with AWS Redshift data integration perfectly.
Matillion Feature Ratings
Using Matillion
6 - Data team uses Matillion for data integration tasks such as: Populate Data Warehouse, transform and ingest Data Lake data into Redshift Data Mart.
2 - DBA and Devops people provides support and maintenance for Matillion, which have AWS EC2 maintenance, Cloud Formation, ETL development, and DBA skills.
- Data Mart Integration
- Data Lake Integration
- Third Party Data Integration
- Transformed data from different AWS region
- Support Data Scientist AI project
Evaluating Matillion and Competitors
Yes - We replaced Pentaho ETL tool with Matillion as Matillion is aligned with AWS Cloud products perfectly.
- Advisor recommendation
We tested and evaluated Matillion tool based on advisor recommendation, which convinced us that Matillion is best data integration tool we need for supporting Data Warehouse on AWS Cloud.
We wouldn't change the decision.
Matillion Support
Pros | Cons |
---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Immediate help available Support understands my problem Support cares about my success Quick Initial Response | None |
Matillion support team provided support for resolving ETL task caused out of memory issue.