

AWS Database Migration Service and Rivery compete in the data integration and migration platform category. While AWS Database Migration Service is strong in migration, Rivery holds an edge in transformation and orchestration.
Features: AWS Database Migration Service offers continuous data replication, schema conversion, and a pay-as-you-go pricing model, making it ideal for cloud migrations. Rivery provides a no-code interface, extensive pre-built connectors, and the flexibility to handle complex data flows, making it suitable for robust data transformation and orchestration tasks.
Ease of Deployment and Customer Service: AWS Database Migration Service integrates seamlessly within AWS ecosystems, ensuring smooth deployment, and offers reliable customer support. Rivery, as a cloud-native solution, supports deployment across multiple platforms and offers personalized assistance, making it adaptable for varied infrastructures.
Pricing and ROI: AWS Database Migration Service's cost-effective model with pay-as-you-go pricing is attractive for large-scale migrations. Rivery has a higher initial cost but focuses on transformation capabilities, offering potential for high ROI in complex integration projects. Cost-sensitive projects may lean towards AWS, while Rivery attracts those needing transformation benefits and scalability.
I can specify savings of around 40 to 60%.
It saved my team time and really reduced manual work, so overall, it improved efficiency.
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
When working with AWS GovCloud, we often did not get an answer in time because AWS seemed more focused on the commercial side.
I am happy with the technical support from AWS.
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
Customer support is great; they are answering really fast.
The customer support for Rivery is excellent.
Even if there was a failure, we could catch it and rerun it.
AWS's scalable nature involves a human approach, meaning it is not auto-scalable.
While scalability is good, latency exists due to our business nature.
It has handled growing data volumes and additional pipelines without major issues.
The focus is on the ability to connect to different sources and to put all the data together.
For DMS version upgrades, we schedule downtime during business hours so that midnight workloads are not interrupted and morning business can run smoothly.
I found the tool very easy to use, allowing me to gain a lot of insights.
The excellent support we received from Rivery team contributes to this perception.
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.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
AWS offers a way to build jobs that are scalable, expandable for new and current tables, and can be deployed quickly.
You can copy the database at first without impacting your current database, and then use CDC to copy incremental changes.
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.
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
The main benefit Rivery brought to my organization was the time we were able to save on development.
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
| Product | Market Share (%) |
|---|---|
| AWS Database Migration Service | 7.4% |
| Rivery | 1.1% |
| Other | 91.5% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 8 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
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.
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
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