AWS Database Migration Service vs Pentaho Data Integration and Analytics comparison

AWS Database Migration Service vs. Pentaho Data Integration and Analytics

Download the complete report

Helped 844,944 peers since 2012

Review summaries and opinions

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

Categories and Ranking

AWS Database Migration Service

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Integration (2nd)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (22nd)

Featured Reviews

Avinash Gangu

Lead Architect at Fracral

Centralizing database tables enhances workflow efficiency for ease of use

I was looking for some content as part of a comparison analysis. However, one of the pain points is that it is way too free-flowing. I have to skim through all the security pages to get to the crux of it. I was looking for a table that suggests which facets such services address with proofs of reference from professional conferences. The document is a 63-page read, making it very difficult to navigate without a summary. I was looking for a summary at the start, however, if I have to do it myself, I might as well integrate from AWS Docs and then Informative Exchange. The current document contains a lot of information, which is great, but there needs to be a summary indicating the story's essence. Unless there's a correction, it is not present in the document.

Read full review

Ryan Ferdon

Senior Data Engineer at Burgiss

Low-code makes development faster than with Python, but there were caching issues

If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.

Read full review

Quotes from Members

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

Pros

"The process is now simplified because there won't be maintenance. Usually we can take a snapshot of the number I need. We can automate the backup snapshots and we can restore it very quickly. We get many benefits from the application."

"It's scalable."

"The initial setup is very straightforward."

"It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports."

"AWS Database Migration Service is good for smaller workloads and provides compatibility."

"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."

"One of the features, I find most valuable is its ability to apply rules and transformations to data during real-time integration. This includes changing schema names or table structures on AWS without delaying the data flow. Initially, full migrations can vary widely in time depending on the source system; for instance, a large Magento database might take up to six months, while smaller databases like IBM DB2 could migrate within hours. Once set up, AWS DMS ensures real-time synchronization using Change Data Capture (CDC), maintaining data integrity throughout the process."

"One valuable feature of AWS Database Migration Service is change data capture (CDC)."

More AWS Database Migration Service pros

"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."

"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."

"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."

"Data transformation within Pentaho is a nice feature that they have and that I value."

"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."

"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."

"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."

More Pentaho Data Integration and Analytics pros

Cons

"I think that Amazon needs to improve the migration scenarios after analytics"

"This solution is compatible with only AWS."

"There is no connectivity to the source database or the target database."

"There could be enhancements in the product intelligently covering more scenarios to prevent crashes or failures."

"There are a set of complexities and challenges when a user wants to integrate AWS products with Microsoft products."

"Database Migration Service could be more integrated. I think that it makes sense to add integration to these functions. For example, AWS Glue has a feature called Orchestrator to create data flows, and that's more straightforward."

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

"In my experience, AWS Database Migration Service performs well for its primary purpose of data migration. One area that could be improved is its support for non-AWS file formats, particularly when integrating data from sources stored outside of AWS. For example, handling AWS Data Lakes, Delta Lake, or Hadoop file formats stored in S3 requires extensive configuration and isn't always straightforward. It would be beneficial to streamline this process to ensure smoother migrations from non-AWS environments to AWS. As for additional functionality, I think enhancing support for these external file formats and simplifying configuration steps would be valuable improvements for the service."

More AWS Database Migration Service cons

"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."

"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."

"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."

"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."

"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."

"I experience difficulties when handling millions of rows, as the data movement from one source to another becomes challenging."

"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."

"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"AWS Database Migration Service is the least expensive solution, but is still expensive."

"Cost is the only factor that is challenging."

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

"The solution’s pricing is reasonable."

"For Egypt, the product's prices are high, making it a specific problem in one region and not globally."

"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."

"AWS Database Migration Service is very inexpensive."

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

More AWS Database Migration Service pricing and cost advice

"You don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."

"I mostly used the open-source version. I didn't work with a license."

"There was a cost analysis done and Pentaho did favorably in terms of cost."

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."

"We did a two or three-year deal the last time we did it. As compared to other solutions, at least so far in our experience, it has been very affordable. The licensing is by component. So, you need to make sure you only license the components that you really intend to use. I am not sure if we have relicensed after the Hitachi acquisition, but previously, multi-year renewals resulted in a good discount. I'm not sure if this is still the case. We've had the full suite for a lot of years, and there is just the initial cost. I am not aware of any additional costs."

"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."

"If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"

More Pentaho Data Integration and Analytics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

844,944 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

16%

Manufacturing Company

Government

Financial Services Firm

21%

Computer Software Company

16%

Government

Manufacturing Company

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...

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. ...

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...

Which ETL tool would you recommend to populate data from OLTP to OLAP?

Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...

What do you think can be improved with Hitachi Lumada Data Integrations?

In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...

What do you use Hitachi Lumada Data Integrations for most frequently?

My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...

AWS Glue vs AWS Database Migration Service

Comparisons

Compared 49% of the time

Oracle GoldenGate vs AWS Database Migration Service

Compared 13% of the time

Qlik Replicate vs AWS Database Migration Service

Compared 12% of the time

Fivetran vs AWS Database Migration Service

Compared 9% of the time

Oracle GoldenGate Cloud Service vs AWS Database Migration Service

Compared 3% of the time

More AWS Database Migration Service Competitors

Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 18% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 14% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 7% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 6% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

AWS Database Migration Service

Download AWS Database Migration Service product report

Pentaho Data Integration and Analytics

Download Pentaho Data Integration and Analytics product report

Pentaho Data Integration and Analytics report

Also Known As

AWS Data Migration Service

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

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.

Amazon Web Services (AWS)

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

Hitachi Vantara

Sample Customers

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

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

AWS Database Migration Service vs. Pentaho Data Integration and Analytics