AWS Database Migration Service vs Informatica Cloud Data Integration vs Matillion ETL comparison

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Amazon Web Services (AWS) Logo
7,645 views|6,247 comparisons
88% willing to recommend
Informatica Logo
3,563 views|2,909 comparisons
88% willing to recommend
Matillion Logo
3,350 views|2,263 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Database Migration Service, Informatica Cloud Data Integration, and Matillion ETL based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"For our simple requirement of migration, DMS is just a typical AWS RDS with an IPSec tunnel to Oracle. The most valuable features for us are the networking capabilities like VPCs and VPNs.""The database migration services allow us to do real-time synchronization of on-premise and database to plan out our releases.""The solution is stable and reliable.""The installation is easy.""The fact that it's well-integrated into multiple targets that are good for different use cases is pretty good.""As the solution is on the cloud, we don't have to worry about the maintenance of software.""I am very impressed by the scalability of AWS Database Migration Service.""The initial setup is very straightforward."

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"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier.""Data synchronization tasks.""The solution has the best feature for parameterization.""I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful.""The features I find most valuable is the synchronization, verification, functionalities and all the data integration features.""The user interface which is very easy to use if we have any problems to solve.""Informatica Cloud Data Integration is stable.""Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

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"The loading of data is the most valuable feature of Matillion ETL.""It has good integrations with Amazon Redshift and other AWS services.""It has helped us to get onto the cloud quickly.""It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies.""Matillion ETL has great Git integration that is perfect and convenient to use.""It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs.""It's highly scalable. It takes upon itself the Redshift scalability, so it's very good.""The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."

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Cons
"The product's performance could be a little bit better.""The cost is a concern. We use DMS because of its simplicity, but the price could definitely be more competitive.""AWS Database Migration Service can become complex when testing. Other solutions, such as Microsoft Azure makes it easy to do. There are more steps to complete tasks in AWS Database Migration Service than in Microsoft Azure.""The way that the task settings work, specifically for logging, is really poor.""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.""This solution can offer more tweaks where the latency can be brought down to fifteen seconds.""We would like to see some improvement in the performance of large scale procedures, such as when we migrate from Oracle to csSQL.""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."

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"The cloud version could be better in terms of pricing.""There may be some types of limitations with the performance.""The error information provided is not informative, as compared to Power Center.""The current features are a bit complicated, and we need to write big scripts and test.""User/group administration could use improvement.""I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter.""Certain shortcomings in the product's UI make it an area where improvements are required.""The integration process is not easy."

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"The cost of the solution is high and could be reduced.""In the next release, we would like to have connections to more databases.""Matillion’s on-premises capabilities don’t allow you to build something customized.""Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion.""When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience.""The product must enhance its near-real-time data capture feature.""There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features.""Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."

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Pricing and Cost Advice
  • "The pricing can be better and it should be more competitive."
  • "Pricing can be improved."
  • "Pricing for the solution is reasonable, but could still be reduced."
  • "Cost is the only factor that is challenging."
  • "AWS Database Migration Service is the least expensive solution, but is still expensive."
  • "It's typically a pay-for-what-you-use kind of model, and most of the cost is based on the instance class for the replication instance."
  • "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."
  • "AWS Database Migration Service is very inexpensive."
  • More AWS Database Migration Service Pricing and Cost Advice →

  • "It is cost effective and an easily accessible tool."
  • "The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
  • "Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
  • "My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
  • "Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
  • "Its pricing model can be improved."
  • "I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
  • "The price of Informatica Cloud Data Integration could be reduced."
  • More Informatica Cloud Data Integration Pricing and Cost Advice →

  • "I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
  • "It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
  • "The prices needs to be lower."
  • "It was very easy to purchase through the AWS Marketplace, but it was also expensive."
  • "Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
  • "It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
  • "The AWS pricing and licensing are a cost-effective solution for data integration needs."
  • "It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
  • More Matillion ETL Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: As with all AWS products, you are given very useful documentation with AWS Database Migration Service. Before we… more »
    Top Answer: My current company started using AWS Database Migration Service upon my recommendation, and I continue telling people… more »
    Top Answer: Compared to similar solutions, AWS Database Migration Service falls somewhere in the middle price-wise, at least from… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a… more »
    Top Answer:When it comes to cloud data integration, this solution can provide you with multiple benefits, including Overhead… more »
    Top Answer:The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
    Top Answer:The pricing depends on what edition the customer opts for. For example, a standard edition and then business critical of… more »
    Top Answer:One of the features that's in development is data privacy in the cloud, along with further SAP integration. For… more »
    Ranking
    2nd
    Views
    7,645
    Comparisons
    6,247
    Reviews
    20
    Average Words per Review
    609
    Rating
    8.0
    5th
    Views
    3,563
    Comparisons
    2,909
    Reviews
    17
    Average Words per Review
    467
    Rating
    7.8
    4th
    Views
    3,350
    Comparisons
    2,263
    Reviews
    11
    Average Words per Review
    701
    Rating
    8.6
    Comparisons
    Also Known As
    AWS Data Migration Service
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    Learn More
    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.

    Informatica Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

    The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

    Informatica Cloud Data Integration Features

    Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

    • Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.

    • Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.

    • Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.

    • Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.

    • Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.

    • Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.

    • Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.

    • Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.

    • Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.

    • Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

    Informatica Cloud Data Integration Benefits

    Informatica Cloud Data Integration brings multiple benefits to its users. These include:

    • The product offers optimized connectivity to various systems through custom build-connectors.

    • Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.

    • The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.

    • Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.

    • Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.

    • The solution offers consistent experience and unified metadata across all cloud services.

    • Users can leverage enterprise-level performance for integration design with no coding required.

    • Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

    Reviews from Real Users

    Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

    A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

    Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency. 

    The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.

    Sample Customers
    Veoci, Trimble, Nasdaq, shaadi.com, Hotelbeds, SysAid, Verizon, Expedia, Pega
    Chicago Cubs, Telegraph Media Group
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Financial Services Firm25%
    Insurance Company8%
    Real Estate/Law Firm8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Government7%
    Manufacturing Company7%
    REVIEWERS
    Computer Software Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    REVIEWERS
    Financial Services Firm33%
    Manufacturing Company33%
    Healthcare Company8%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Government8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise27%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business22%
    Midsize Enterprise35%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,740 professionals have used our research since 2012.