

AWS Database Migration Service and Stitch both compete in the data migration and integration category. AWS Database Migration Service seems to have the upper hand with its robust features, particularly in handling large-scale migrations efficiently.
Features: AWS Database Migration Service stands out with its change data capture, scalability, and security features. It is highly effective for full load and continuous data replication, making it reliable for large migrations. Stitch is popular for its simplicity, plug-and-play setup, and handling of deleted records, which suits smaller teams looking for quick deployments.
Room for Improvement: AWS Database Migration Service could enhance real-time data streaming and better integrate with non-AWS environments. Stitch benefits from improving its support system and handling complex data transformations. Users also desire smoother third-party tool integration for Stitch.
Ease of Deployment and Customer Service: AWS Database Migration Service provides robust support across cloud environments, though it can improve response times in issue resolution. Users benefit from comprehensive documentation. Stitch offers a user-friendly plug-and-play interface, but lacks proactivity in support.
Pricing and ROI: AWS Database Migration Service is cost-effective for large migrations, offering substantial savings, although Oracle licensing costs are a concern. Stitch's upfront seat-based pricing might seem high but offers long-term cost efficiency and productivity gains, valuable for smaller teams.
I can specify savings of around 40 to 60%.
We've got a project at the moment that we estimated the integration was going to be around $200,000 to $300,000, and we've been able to achieve the integration for less than a tenth of that, doing it in-house using Stitch.
I think I have seen a return on investment with Stitch in terms of time saved.
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.
The best skill set they've got is that they know when the issue is outside of their knowledge, and they escalate really quickly so that we get to the right people when we need them.
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.
I would advise that you should not use Stitch if you are going to build a big number of screens or a heavy UI application with complex designs because it is not ready for that kind of work.
We just spin up a new server and add it into a cluster, and then it pretty much manages the load balancing across all the servers in the cluster.
Stitch can handle a massive amount of data, so I do not think that is a problem.
For DMS version upgrades, we schedule downtime during business hours so that midnight workloads are not interrupted and morning business can run smoothly.
Stitch is really stable.
I didn't notice any explicit crashes or bugs with Stitch, as it is actually stable.
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.
Stitch cannot connect to all databases or third-party apps, such as Amazon Seller.
I saved a lot of time getting from having no design inspiration to having full-fledged designs.
I suggest developing a featured interface that is easier to use.
My experience with pricing, setup cost, and licensing is that it is pretty easy, pretty straightforward, and the cheapest of them all.
The cost of the seats is actually cheaper by the amount of value that you're adding to the business.
My experience with pricing, setup cost, and licensing for Stitch shows that it is a bit costlier.
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.
The image to HTML conversion helps me in my projects because it allows you to acquire professional designs without starting from scratch.
We take one week of time to design an application, but now we can design that application within two days, which is 16 hours.
We can easily move and do time-to-market for a new pipeline and new integration, positively impacting our organization.
| Product | Mindshare (%) |
|---|---|
| AWS Database Migration Service | 7.4% |
| Stitch | 1.3% |
| Other | 91.3% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 8 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
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.
Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.
Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.
What are Stitch's most important features?In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.
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