AWS Database Migration Service vs StreamSets comparison

Amazon Web Services (AWS) and IBM are both solutions in the Cloud Data Integration category. Additionally, 93% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

AWS Database Migration Service

Read 30 AWS Database Migration Service reviews

6,530 Views
5,421 Comparison Views

93% willing to recommend

StreamSets

Read 24 StreamSets reviews

3,109 Views
1,983 Comparison Views

100% willing to recommend

AWS Database Migration Service

StreamSets

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Executive Summary

We performed a comparison between AWS Database Migration Service and StreamSets based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Database Migration Service vs. StreamSets Report (Updated: October 2024).

Buyer's Guide

AWS Database Migration Service vs. StreamSets

October 2024

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Helped 814,649 peers since 2012

Categories and Ranking

AWS Database Migration Service

Average Rating

8.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (2nd)

StreamSets

Average Rating

8.4

Number of Reviews

Ranking in other categories

Data Integration (9th)

Featured Reviews

StevenLai

Sr. Data Engineer at Amrock

Sep 20, 2024

Straightforward to set up with easy of capturing database changes and secure storage

We are setting up CDT jobs to get database changes from AWS RDS. We are not really migrating anything, but we get the changes from our source RDS instance and save it as a file in an S3 bucket For our continuity planning, we need all the history happening in the source database because AWS source…

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Reyansh Kumar

Technical Specialist at Accenture

Mar 10, 2023

We no longer need to hire highly skilled data engineers to create and monitor data pipelines

The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, the scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"This solution is very good at mini-batch processing."

"The product's initial setup phase was very easy."

"If your infrastructure is already on Amazon, it simply makes the most sense to use a tool officially provided by them as an additional service, rather than having to rely on a third-party solution."

"The initial setup is very straightforward."

"The database migration services allow us to do real-time synchronization of on-premise and database to plan out our releases."

"We particularly like that this solution has the facility to integrate with all ETL tools."

"The most valuable feature of the solution is the one I use for report generation. The security risk is very low."

"DMS's architecture is highly beneficial, allowing for scalable migrations of large datasets."

More AWS Database Migration Service pros

"It is really easy to set up and the interface is easy to use."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

More StreamSets pros

Cons

"This solution is compatible with only AWS."

"Support could be more expedient. Right now I am waiting on support for an extension."

"One area that AWS DMS can improve on is its conversion of data types. For example, in Oracle, you have a data type called RAW, but in PostgreSQL there is no such thing. Thus, AWS DMS doesn't know what type I want to use when migrating from Oracle to PostgreSQL, and when performing the migration, AWS DMS changed the RAW data type to the byte data type, which isn't what I wanted."

"What needs improvement in AWS Database Migration Service is that it lacks a log file validation feature. If the solution could provide more details about a particular transaction, that would be helpful. The stability of AWS Database Migration Service for online CDC records also needs to be improved."

"We would like to see some improvement in the performance of large scale procedures, such as when we migrate from Oracle to csSQL."

"Migrating from here and pushing the data from on-premise to AWS cloud is a big challenge and a few more services from AWS would be helpful. For example, we are currently using ILDB internet tools which move data from on-premise to the AWS cloud. A few more services would be really helpful for me to move the master data."

"The names of the services need improvement since AWS doesn't indicate what the function of the product is presently. You need to read a lot to find the service that you want in the product."

"This solution can offer more tweaks where the latency can be brought down to fifteen seconds."

More AWS Database Migration Service cons

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."

"Visualization and monitoring need to be improved and refined."

More StreamSets cons

Pricing and Cost Advice

"AWS Database Migration Service is very inexpensive."

"I would rate the pricing a seven out of ten."

"Pricing for the solution is reasonable, but could still be reduced."

"The pricing can be better and it should be more competitive."

"In terms of pricing, I'd rate it an eight out of ten, considering it's a well-priced solution."

"The pricing is per hour, though I do not have the exact figures. If you have specific questions about the service, a personal support team from Amazon is available, but this will bring in additional costs."

"Cost is the only factor that is challenging."

"I rate the product price a seven on a scale of one to ten, where one is a high price, and ten is a low price."

More AWS Database Migration Service pricing and cost advice

"It's not expensive because you pay per month, and the tasks you can perform with it are huge. It's reliable and cost-effective."

"It's not so favorable for small companies."

"StreamSets is expensive, especially for small businesses."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"The pricing is affordable for any business."

"It has a CPU core-based licensing, which works for us and is quite good."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

15%

Government

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What resources can you use to learn how to utilize AWS Database Migration Service?

As with all AWS products, you are given very useful documentation with AWS Database Migration Service. Before we started using this product, we went over it and we were able to learn the basics an...

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Would you recommend AWS Database Migration Service as a cloud data integration tool?

My current company started using AWS Database Migration Service upon my recommendation, and I continue telling people how good of a product it is. However, users should keep in mind a few things. ...

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Is AWS Database Migration Service an affordable solution?

Compared to similar solutions, AWS Database Migration Service falls somewhere in the middle price-wise, at least from my experience. This being said, it is not a very affordable solution, especial...

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What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

See all answers

What needs improvement with StreamSets?

We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which ...

See all answers

What is your primary use case for StreamSets?

StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...

See all answers

Comparisons

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Compared 47% of the time

Oracle GoldenGate vs AWS Database Migration Service

Compared 16% of the time

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Compared 11% of the time

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Compared 7% of the time

JumpMind SymmetricDS vs AWS Database Migration Service

Compared 1% of the time

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Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 11% of the time

Fivetran vs StreamSets

Compared 10% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Azure Data Factory vs StreamSets

Compared 8% of the time

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Product Reports

Buyer's Guide

AWS Database Migration Service

November 2024

Download AWS Database Migration Service product report

Buyer's Guide

StreamSets

October 2024

Download StreamSets product report

Also Known As

AWS Data Migration Service

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Amazon Web Services (AWS)

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IBM

Overview

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:

Migrating from legacy or on-premises databases to managed cloud services through a simplified migration process.
Reliable replication of backup files to minimize downtime and data loss.
Improvement of integration through building of data lakes and performing real-time processing on change data from users' data stores.

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:

Replication instance: AWS Database Migration Service provides users with a variety of replication instances, allowing them to select the optimal configuration for their use case. Depending on the instance class an organization selects, their replication instance provides a different amount of data storage.
Endpoint: AWS DMS uses an endpoint to access users' source or target data stores. The connection information is different and depends on the specific data store, but it usually consists of the following information: endpoint type, engine type, server name, port, encryption, and credentials. This information can easily be managed through the AWS DMS console.
Replication tasks: AWS Database Migration Service replication tasks can be used to move a set of data from the source endpoint to the target endpoint. The creation of a replication task is the last required step before starting a migration. Each replication task requires the following settings to be set: replication instance, source endpoint, target endpoint, and migration type options.
Ongoing replication or change data capture (CDC): AWS DMS also has the capacity to capture ongoing changes to the source that is stored while users migrate their data to a target.
Schema and code migration: The product requires assistance from tools such as MySQL Workbench, pgAdmin III, and Oracle SQL Developer to perform schema or code conversion, as it cannot do it on its own.

AWS Database Migration Service Benefits

AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:

The solution ensures minimal downtime, as it continuously replicates the changes to the user’s source database during migration.
AWS DMS provides users with flexibility, as it supports many commonly used databases, including commercial and open-source ones.
The product is user friendly, as it offers an easy set of tasks in the AWS Management Console.
Users of Aurora, Redshift, DocumentDB, and DynamoDB can benefit from the free use of AWS DMS.
AWS Database Migration Service is very reliable because it is a self-healing service that automatically restarts in cases of interruptions.
The product supports both homogenous migrations and heterogenous migrations.
AWS DMS accelerates business growth, as it scales businesses at an affordable price.

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.

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

Sample Customers

Veoci, Trimble, Nasdaq, shaadi.com, Hotelbeds, SysAid, Verizon, Expedia, Pega

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

AWS Database Migration Service vs. StreamSets

October 2024

Free Report: AWS Database Migration Service vs. StreamSets

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