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Amazon Redshift vs SnapLogic 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
6.2
Amazon Redshift ROI varies; cloud transition boosts sales but data volume impacts cost-effectiveness compared to databases like Netezza.
Sentiment score
8.3
SnapLogic delivers significant time savings, improved efficiency, cost-effectiveness, and enhanced data analytics, driving better business decisions and ROI.
 

Customer Service

Sentiment score
6.9
Amazon Redshift's customer service is praised for efficiency and professionalism, though some desire easier phone access and consistent availability.
Sentiment score
6.8
SnapLogic support receives mixed reviews; users praise responsiveness, yet others cite delays and insufficient expertise, impacting overall satisfaction.
Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.
It's costly when you enable support.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
 

Scalability Issues

Sentiment score
7.4
Redshift is popular for its easy scalability on AWS, although some users face challenges with large cluster configurations.
Sentiment score
7.3
SnapLogic offers flexible scalability, effective in diverse scenarios, though some users experienced initial challenges and suggest potential improvements.
The scalability part needs improvement as the sizing requires trial and error.
I rate the scalability of SnapLogic as eight out of ten.
 

Stability Issues

Sentiment score
7.4
Amazon Redshift is stable with minor scaling challenges, appreciated AWS support, and noted visibility concerns versus Snowflake.
Sentiment score
7.4
SnapLogic is considered stable and reliable with minor upgrade challenges, but some prefer Boomi due to support issues.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
I would rate the stability of SnapLogic as nearly ten out of ten.
 

Room For Improvement

Amazon Redshift users struggle with data management, pricing, performance, integration, UI support, and compatibility with various data types.
SnapLogic needs to enhance integrations, API management, debugging, customization, real-time processing, and AI features for improved usability.
They should bring the entire ETL data management process into Amazon Redshift.
Integration with AI could be a good improvement.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
 

Setup Cost

Amazon Redshift offers competitive pricing with scalable costs, ideal for large enterprises, though not as economical for smaller companies.
SnapLogic offers competitive pricing based on nodes and usage, valued for functionality in complex integrations without coding.
The cost of technical support is high.
It's a pretty good price and reasonable for the product quality.
The pricing of Amazon Redshift is expensive.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
 

Valuable Features

Amazon Redshift offers scalable, efficient, and secure data warehousing with fast processing, AWS integration, and flexible configurations for analytics.
SnapLogic offers a low-code interface, extensive connectivity, and efficient automation, simplifying complex integrations with robust tools and fast deployment.
The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.
Scalability is also a strong point; I can scale it however I want without any limitations.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
 

Categories and Ranking

Amazon Redshift
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
71
Ranking in other categories
Cloud Data Warehouse (6th)
SnapLogic
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
24
Ranking in other categories
Data Integration (18th), Process Automation (16th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (10th)
 

Mindshare comparison

Amazon Redshift and SnapLogic aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.5%, down 8.0% compared to last year.
SnapLogic, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 3.9% mindshare, up 3.7% since last year.
Cloud Data Warehouse
Integration Platform as a Service (iPaaS)
 

Q&A Highlights

Jul 16, 2017
 

Featured Reviews

Sriram-Natesan - PeerSpot reviewer
The ability to create a lot of views or materialized views is beneficial
Improvement in the immediate response and the process of getting into a call could be helpful. We have had to wait for at least twenty-four hours to get a call and then wait for a couple more hours for a solution. Improved connectivity to different BI tools and already published connectors for major tools in AWS could enhance the service.
VinethSuresh - PeerSpot reviewer
Achieves rapid results in data migration and has an intuitive user interface
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.
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Answers from the Community

Jul 16, 2017
Jul 16, 2017
S3 copy is the best solution to load data into Redshift. I have used Informatica to move data from On premise to S3 and used S3 Copy to load Redshift.
2 out of 14 answers
it_user130794 - PeerSpot reviewer
Jul 13, 2017
Matillion or SAP BODS can be used as etl.
Jul 13, 2017
Informatica is good to go with Redshit, however any open source ETL is good enough. Thanks
 

Top Industries

By visitors reading reviews
Educational Organization
35%
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
6%
Financial Services Firm
25%
Manufacturing Company
11%
Computer Software Company
7%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
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?
I am quite happy with the solution and do not have specific requirements at the moment. I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive...
What is your primary use case for SnapLogic?
I mainly use it for data integration and some API tasks.
 

Also Known As

No data available
DataFlow
 

Overview

 

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: June 2025.
860,592 professionals have used our research since 2012.