SnapLogic vs StreamSets comparison

SnapLogic and IBM are both solutions in the Data Integration category. SnapLogic is ranked #24 with an average rating of 7.0, while IBM is ranked #9 with an average rating of 8.4. Additionally, 86% of SnapLogic users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

SnapLogic

Read 22 SnapLogic reviews

3,248 Views
2,142 Comparison Views

86% willing to recommend

StreamSets

Read 24 StreamSets reviews

3,109 Views
1,983 Comparison Views

100% willing to recommend

SnapLogic

StreamSets

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Executive SummaryUpdated on Sep 4, 2024

SnapLogic and StreamSets are both leading data integration platforms. SnapLogic seems to have the upper hand for its ease of use and faster deployments, while StreamSets is noted for its robust performance and scalability.

Features: SnapLogic's valuable features include a user-friendly design, seamless cloud integration, and pre-built connectors. StreamSets offers advanced monitoring, real-time analytics, and extensive customization.

Room for Improvement: Users of SnapLogic suggest enhancing error management, expanding transformation capabilities, and better troubleshooting tools. StreamSets users recommend improving documentation, reducing complexity in setup, and creating more intuitive documentation.

Ease of Deployment and Customer Service: SnapLogic provides a smoother deployment model and highly responsive customer service. StreamSets presents a steep learning curve and slower response times for support.

Pricing and ROI: SnapLogic presents a competitive pricing model with a faster ROI due to lower initial setup costs. StreamSets, although higher in price, offers significant returns thanks to its powerful features and scalability.

To learn more, read our detailed SnapLogic vs. StreamSets Report (Updated: October 2024).

Buyer's Guide

SnapLogic vs. StreamSets

October 2024

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Categories and Ranking

SnapLogic

Ranking in Data Integration

24th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Process Automation (16th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (10th)

StreamSets

Ranking in Data Integration

9th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Selva Dhoom

Technical Manager at a tech services company with 11-50 employees

Jun 30, 2022

Automates manual activities and has helpful documentation that allows users to self-study

What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.

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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

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."

"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."

"Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently."

"The vendor handles the maintenance of the solution"

"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."

"It's more developer-friendly, and development can be done at a faster phase."

"They are very good at building out new aspects according to customer requirements."

"The API architecture makes it easy for orchestration."

More SnapLogic pros

"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 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."

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"Important features include that it comprises lots of functionality to connect data from various sources through connector availability, scheduling pipelines at any time, and integration with third-party and security solutions for encryption."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

"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."

More StreamSets pros

Cons

"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."

"The biggest issue we have faced in our company with SnapLogic is regarding the EDI format"

"We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use."

"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."

"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."

"We'd like zero downtime in the future."

"Ultra Pipelines provides real-time ingestion but it needs some adjustment."

"The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy."

More SnapLogic cons

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

"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."

More StreamSets cons

Pricing and Cost Advice

"By scaling the solution incrementally the cost is controlled and more beneficial to the client."

"I used the free trial."

"SnapLogic's price is high compared to the other tools available in the market."

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

"The cost with SnapLogic is an annual license and better than Informatica."

"It is a higher initial cost than other easy-to-use integration apps."

"They have pricing/usage tiers that are easy to move up or down."

"The license model is based on consumption."

More SnapLogic pricing and cost advice

"I believe the pricing is not equitable."

"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."

"The overall cost for small and mid-size organizations needs to be better."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

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

"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 good, but not the best. They have some customized plans you can opt for."

"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

23%

Manufacturing Company

11%

Computer Software Company

10%

Real Estate/Law Firm

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 do you like most about SnapLogic?

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

See all answers

What needs improvement with SnapLogic?

The biggest issue we have faced in our company with SnapLogic is regarding the EDI format. For instance, suppose if 20 EDIs are shortlisted then SnapLogic will convert and provide only those specif...

See all answers

What is your primary use case for SnapLogic?

In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in o...

See all answers

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

AWS Glue vs SnapLogic

Compared 14% of the time

IBM InfoSphere DataStage vs SnapLogic

Compared 11% of the time

Azure Data Factory vs SnapLogic

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SnapLogic

Compared 7% of the time

Talend Open Studio vs SnapLogic

Compared 3% of the time

More SnapLogic Competitors

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

Oracle GoldenGate vs StreamSets

Compared 3% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

SnapLogic

October 2024

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Buyer's Guide

StreamSets

October 2024

Download StreamSets product report

Also Known As

DataFlow

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SnapLogic

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IBM

Overview

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

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

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!

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

Buyer's Guide

SnapLogic vs. StreamSets

October 2024

Free Report: SnapLogic vs. StreamSets

Find out what your peers are saying about SnapLogic vs. StreamSets and other solutions. Updated: October 2024.

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