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Boomi iPaaS vs StreamSets comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
8.3
Boomi iPaaS streamlines integration, boosts ROI over 100%, and saves costs with efficient, rapid deployment and minimal development efforts.
Sentiment score
8.1
StreamSets speeds up data processing, boosts efficiency and revenue, simplifies tasks, enhances security, and reduces costs significantly.
We have automated complete order-to-cash processes for multiple customers, saving over 90 million dollars.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
 

Customer Service

Sentiment score
7.5
Boomi iPaaS support is responsive and knowledgeable, with mixed reviews, valuable community resources, and improved service in high-end plans.
Sentiment score
6.7
StreamSets support is responsive and knowledgeable, offering effective solutions, though response times and technical handling could improve.
The tech support is very good, offering immediate responses and chat options.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
We receive service that is more than adequate, even exceptional.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
 

Scalability Issues

Sentiment score
7.9
Boomi iPaaS is scalable and versatile but can become expensive with high integration counts and specific setup challenges.
Sentiment score
7.6
StreamSets is scalable and flexible, favored for cloud use but could improve auto-scaling for large data migrations.
We have built approximately 1,100 interfaces for one customer, which is a significant achievement.
The reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
 

Stability Issues

Sentiment score
6.5
Boomi iPaaS is generally stable with 99.99% availability, though some users report occasional issues and a learning curve.
Sentiment score
7.8
StreamSets is praised for stability and reliability, despite minor memory issues, with high user ratings and market competitiveness.
 

Room For Improvement

Boomi iPaaS requires enhanced API management, improved documentation, simplified pricing, better integration, and advanced version control for users.
StreamSets struggles with integration, real-time processing, clarity in UI, memory issues, security, documentation, and cloud storage performance.
With proper version control, you could know which version to revert to and test other versions.
The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
 

Setup Cost

Boomi iPaaS offers a connection-based pay-per-use model, praised for its flexibility and competitive pricing despite potential cost increases.
StreamSets provides flexible pricing models, with varied user satisfaction, favoring larger enterprises over smaller companies due to cost.
While pricing is relative, compared to others, it is favorable.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
 

Valuable Features

Boomi iPaaS offers flexible, scalable integration with low-code tools, enhancing speed and efficiency for medium-sized organizations.
StreamSets offers intuitive interface, extensive connectors, and features accessible to non-technical users for seamless data integration and manipulation.
It automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
The integrations and API management are particularly beneficial.
When developers learn how to use it, they become productive sooner.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
 

Categories and Ranking

Boomi iPaaS
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
29
Ranking in other categories
Integration Platform as a Service (iPaaS) (6th)
StreamSets
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
Data Integration (16th)
 

Mindshare comparison

Boomi iPaaS and StreamSets aren’t in the same category and serve different purposes. Boomi iPaaS is designed for Integration Platform as a Service (iPaaS) and holds a mindshare of 11.1%, up 7.6% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.6% mindshare, up 1.4% since last year.
Integration Platform as a Service (iPaaS)
Data Integration
 

Featured Reviews

Eugene Paden - PeerSpot reviewer
Integration solution proves maturity and drives productivity
There are many features we're using. We're starting to do AI now regarding integration with other platforms, focusing on creating integrations. A significant area for improvement is version control. Currently, you develop and cannot properly roll back to a previous version unless you create different versions. With proper version control, you could know which version to revert to and test other versions.
Nantabo Jackie - PeerSpot reviewer
Simplified pipelines and helped us break down data silos within our organization
The design experience when implementing batch streaming or ECL pipelines is very easy and straightforward. When we initially attempted to integrate StreamSets with Kafka, it was somewhat challenging until we consulted the documentation, after which it became straightforward. We use StreamSets to move data into modern analytics platforms. Moving the data into modern analytics platforms is still complex. It requires a lot of understanding of logic. StreamSets enables us to build data pipelines without knowing how to code. StreamSets' ability to build data pipelines without requiring us to know complex programming is very important, as it allows us to focus on our projects without spending time writing code. StreamSets' Transformer for Snowflake is simple to use for designing both simple and complex transformation logic. StreamSets' Transformer for Snowflake is extremely important to me as it helps me to connect external data sources and keep my internal workflow organized. Transformer for Snowflake's functionality is a perfect ten out of ten. It is important and cost-effective that Transformer for Snowflake is a serverless engine embedded within the platform, as without this feature, it would be very expensive. This feature helps us to sell at lower budget costs, which would otherwise be at a high cost with other servers. StreamSets has helped improve our organization. StreamSets simplified pipelines for our organization. It is easier to complete a project when we know where and how to start, and working with the team remotely makes it more efficient. This helps us to save time and be more organized when creating data pipelines. Being a structured company that produces reliable resources for our application benefits both our clients and contacts. StreamSets' built-in data drift resilience plays a part in our ETL operations. With prior knowledge, the built-in data drift resilience is very effective, but it can be challenging to implement without the preexisting knowledge. The built-in data drift resilience reduced the time it takes us to fix data drift breakages by 45 percent. StreamSets helped us break down data silos within our organization. The use of StreamSets to break down data silos enabled us to be confident in the services and products we provide, as well as the real-time streaming we offer. This has had a positive impact on our business, as it allowed us to accurately determine the analytics we need to present to stakeholders, clients, and our sources while ensuring that the process is secure and transparent. StreamSets saved us time because anyone can use StreamSets not just developers. We can save around 40 percent of our time. StreamSets' reusable assets helped us reduce workload by around 25 percent. StreamSets saved us money by not having to hire developers with specialized skills. We saved around $2,000 US. StreamSets helped us scale our data operations. Since StreamSets makes it easy to scale our data operations, it enabled us to know exactly where to start at any time. We are aware of the timeline for completing the project, and depending on our familiarity with the software, we can come up with a solution quickly.
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Manufacturing Company
10%
Financial Services Firm
10%
Non Profit
5%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Boomi AtomSphere Integration?
The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for...
What is your experience regarding pricing and costs for Boomi AtomSphere Integration?
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year. It is affordable even for small customers, like a salon with a couple of branches.
What needs improvement with Boomi AtomSphere Integration?
Although Boomi iPaaS is top in the market, there might be room for improvement in the ETL aspect, which was recently integrated as another module. This aspect of Boomi iPaaS is not mature enough at...
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...
What needs improvement with StreamSets?
One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...
What is your primary use case for StreamSets?
We are using StreamSets for batch loading.
 

Also Known As

Boomi
No data available
 

Overview

 

Sample Customers

DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Find out what your peers are saying about Boomi iPaaS vs. StreamSets and other solutions. Updated: July 2023.
851,604 professionals have used our research since 2012.