AWS AppSync vs Pentaho Data Integration and Analytics comparison

AWS AppSync vs. Pentaho Data Integration and Analytics

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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 AppSync

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Data Integration (22nd)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (8th)

Featured Reviews

Akil Saji

AWS Cloud Developer at Mobil80 Solutions and Services Pvt. Ltd.

Ease of creating APIs with ongoing updates needed for automation

AWS has made it easy for developers like me to create and manage GraphQL APIs. The ease of use is a main advantage, allowing even beginners to start from scratch and learn through AppSync. Before AWS, developing and managing APIs was quite complex. AWS provided AppSync, which assists developers and startup founders. Startups blooming everywhere benefit from this service, welcoming those who lack prior knowledge. When working on AWS, I notice that Amazon regularly implements new features. For instance, with the Lambda service, AWS is transitioning from an old editor to a new one. Similarly, AppSync frequently introduces updates and changes. This trend is making the user interface more accessible, even for individuals without a technical background. Additionally, the cost is attractive, as AWS operates on a pay-as-you-go basis. These factors make AppSync both easy to use and cost-effective.

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Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

Streamlines complex data workflows and has supported automated customer payment notifications

I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.

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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

"Support for multiple data sources and formats is a fantastic feature."

"AWS has made it easy for developers like me to create and manage GraphQL APIs."

"Support for multiple data sources and formats is a fantastic feature."

"AWS has made it easy for developers like me to create and manage GraphQL APIs."

"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."

"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."

"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."

"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."

"The most valuable thing for me is that it enables a technical product manager to be able to write ETL jobs themselves, which saves developers time so that they can do more important things."

"When we get a question from our CEO that needs a response and that requires a little bit of legwork of pulling in from various market data, our own in-house repositories, and everything else, it allows me to arrive at the solutions much faster than having to do it through scripting in Python, coding, or anything else."

"It is a very good open source ETL tool that's capable of connecting to most databases."

"You can get ETL, reporting, analysis, and analytics in a single shop."

More Pentaho Data Integration and Analytics pros

Cons

"Moving to other clouds is impossible without significantly rearchitecting your applications."

"In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial."

"Moving to other clouds is impossible without significantly rearchitecting your applications."

"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."

"In the community version the scheduling tool is not good, and we had to build it ourselves."

"While Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle."

"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."

"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured."

"The only complaint that I have with Pentaho has been with scaling."

"The price of the regular version is not reasonable and it should be lower."

"The product needs more plugins."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"Licensing fees are paid on a monthly basis, and it is a pay-as-you-go model."

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."

"Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

"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."

"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."

"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."

"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."

"The solution reduced our ETL development time by a lot because a whole project used to take about a month to get done previously. After having Lumada, it took just a week. For a big company in Brazil, it saves a team at least $10,000 a month."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Educational Organization

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	31

Questions from the Community

What is your experience regarding pricing and costs for AWS AppSync?

We initially had limited knowledge about AWS costs. As beginners, we ran many instances for over a month. Consequently, we received a bill from Amazon for around $20, which was unexpected. This hig...

What needs improvement with AWS AppSync?

In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial. Regular updates might soon address th...

What is your primary use case for AWS AppSync?

Our company handles in-house projects and serves clients globally. My role with AppSync involves creating GraphQL APIs. There are different types of APIs, such as REST API, GraphQL API, and WebSock...

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...

Perspectium DataSync vs AWS AppSync

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Product Reports

Cloud Data Integration

Download AWS AppSync product report

Pentaho Data Integration and Analytics

Download Pentaho Data Integration and Analytics product report

Pentaho Data Integration and Analytics report

Also Known As

AppSync

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

AWS AppSync simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. AppSync is a managed service that uses GraphQL to make it easy for applications to get exactly the data they need.

With AppSync, you can build scalable applications, including those requiring real-time updates, on a range of data sources such as NoSQL data stores, relational databases, HTTP APIs, and your custom data sources with AWS Lambda. For mobile and web apps, AppSync additionally provides local data access when devices go offline, and data synchronization with customizable conflict resolution, when they are back online.

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

ACBL, Puresec, IDT, ASU, Public Good, cookpad, ALDO, ticketmaster

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

AWS AppSync vs. Pentaho Data Integration and Analytics