Matillion Data Productivity Cloud and AWS Database Migration Service compete in the realm of data integration and migration solutions. Currently, AWS Database Migration Service holds an advantage due to its seamless and reliable database migrations that maintain data integrity effectively.
Features: Matillion Data Productivity Cloud shines with significant integration capabilities, including connectors for SFDC and Redshift, facilitating rapid data transformation with minimal scripting required. Its graphical interface and built-in data verification enhance project agility. AWS Database Migration Service stands out with its ability to perform live data replication and handle large volumes of data seamlessly. Its ease of use and reliability are key strengths during database migrations.
Room for Improvement: Matillion Data Productivity Cloud requires more frequent updates to adapt to API changes and enhanced integration with AWS services. Users express a need for more database connectivity and feature-rich enhancements. AWS Database Migration Service can improve by enhancing integration with non-AWS services and offering better error reporting during heterogeneous migrations. Making the interface more intuitive for large-scale migrations and providing more customization options are areas for growth.
Ease of Deployment and Customer Service: Matillion Data Productivity Cloud is recognized for its quick deployment and extensive support in public cloud environments. Users praise its responsive technical support and comprehensive training materials. AWS Database Migration Service supports diverse cloud environments, including hybrid and private. Customers highlight the robust customer service and technical support, emphasizing quick problem resolution and detailed assistance.
Pricing and ROI: Matillion Data Productivity Cloud offers flexible, consumption-based pricing with discounted rates available through AWS Marketplace, scaling based on team size. AWS Database Migration Service is more cost-effective for larger migrations, boasting lower operational costs. Its pricing is considered reasonable, with users typically seeing ROI within a year due to operational savings and reduced infrastructure costs.
I can specify savings of around 40 to 60%.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
I am happy with the technical support from AWS.
When working with AWS GovCloud, we often did not get an answer in time because AWS seemed more focused on the commercial side.
They communicate effectively and respond quickly to all inquiries.
Even if there was a failure, we could catch it and rerun it.
While scalability is good, latency exists due to our business nature.
AWS's scalable nature involves a human approach, meaning it is not auto-scalable.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
Minor version upgrades are handled by DMS automatically.
DMS works within AWS ecosystem, but they also have to look for third party solutions. Now Snowflake is a bigger player, or Databricks.
Sometimes, those who implement the service face problems and resolve it, but I may not even know what problems they faced.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
This eliminates the typical low-level technical work like setting up the server and networking, which helps significantly.
AWS offers a way to build jobs that are scalable, expandable for new and current tables, and can be deployed quickly.
The scalability option is another valuable feature because AWS provides its own compute behind it, so I can scale up and scale down at any given point.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
Product | Market Share (%) |
---|---|
AWS Database Migration Service | 11.1% |
Matillion Data Productivity Cloud | 5.1% |
Other | 83.8% |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 8 |
Large Enterprise | 17 |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 10 |
Large Enterprise | 11 |
AWS Database Migration Service, also known as AWS DMS, is a cloud service that facilitates the migration of relational databases, NoSQL databases, data warehouses, and other types of data stores. The product can be used to migrate users' data into the AWS Cloud or between combinations of on-premises and cloud setups. The solution allows migration between a wide variety of sources and target endpoints; the only requirement is that one of the endpoints has to be an AWS service. AWS DMS cannot be used to migrate from an on-premises database to another on-premises database.
AWS Database Migration Service allows users to perform one-time migrations, as well as replications of ongoing changes to keep sources and targets in sync. Organizations can utilize the AWS Schema Conversion Tool to translate their database schema to a new platform and then use AWS DMS to migrate the data. The product offers cost efficiency as a part of the AWS Cloud, as well as speed to market, flexibility, and security.
The main use cases of AWS Database Migration Service include:
AWS Database Migration Service Components
AWS Database Migration Service consists of various components which function together to achieve users’ data migration. A migration on AWS DMS is structured in three levels: a replication instance, source and target endpoints, and a replication task. The components include the following actions:
AWS Database Migration Service Benefits
AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:
Reviews from Real Users
Vishal S., an infrastructure lead at a computer software company, likes AWS Database Migration Service because it is easy to use and set up.
Vinod K., a data analyst at AIMLEAP, describes AWS DMS as an easy solution to save and extract data.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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