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SnapLogic vs StreamSets comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 4, 2024

Review summaries and opinions

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

Customer Service

Sentiment score
8.5
SnapLogic's customer service is seen as responsive by some, but others report delays and insufficient support knowledge.
No sentiment score available
 

Room For Improvement

Sentiment score
6.2
SnapLogic needs improvements in complex processing, data flow transparency, API monitoring, user dashboards, support, debugging, and high-volume data handling.
No sentiment score available
 

Scalability Issues

Sentiment score
8.0
SnapLogic is praised for cloud scalability, user-friendly setup, and flexible resource allocation, though some face initial setup challenges.
No sentiment score available
 

Setup Cost

Sentiment score
6.5
SnapLogic offers reasonable, consumption-based pricing that remains affordable despite recent increases, especially compared to competitors.
No sentiment score available
 

Stability Issues

Sentiment score
7.5
SnapLogic is generally stable with minimal bugs and downtime, though some users experience availability issues and job failures with large data.
No sentiment score available
 

Valuable Features

Sentiment score
8.8
SnapLogic provides an intuitive, hybrid deployment platform with low-code development, seamless app integration, high data transfer, and extensive API management.
No sentiment score available
 

Categories and Ranking

SnapLogic
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
7.7
Number of Reviews
22
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
Reviews Sentiment
7.5
Number of Reviews
24
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Selva Dhoom - PeerSpot reviewer
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.
Reyansh Kumar - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
11%
Computer Software Company
9%
Real Estate/Law Firm
5%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
8%
Insurance Company
6%
 

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.
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...
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...
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?
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 ...
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...
 

Also Known As

DataFlow
No data available
 

Learn More

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Overview

 

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
Find out what your peers are saying about SnapLogic vs. StreamSets and other solutions. Updated: November 2024.
816,406 professionals have used our research since 2012.