Try our new research platform with insights from 80,000+ expert users

SAP IQ vs Snowflake Analytics 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
SAP IQ boasts high ROI with substantial hardware savings, low maintenance costs, though some users lack authorization to confirm it.
Sentiment score
5.3
Snowflake Analytics improves efficiency and cost management, though ROI varies; users often see notable time and cost savings.
 

Customer Service

Sentiment score
5.6
Customer service is 24/7 but varies in quality; technical support lacks experts, causing slow escalation and limited advanced assistance.
Sentiment score
6.9
Snowflake Analytics support is praised for responsiveness and professionalism but criticized for occasional delays and access issues.
It seems very difficult to get proper advanced assistance on advanced or complicated problems.
Tech Director at a computer software company with 1,001-5,000 employees
The quality of support from SAP is very good; if it's a known problem, they will have a knowledge base, so we will get immediate assistance.
Tech Lead, Database Section. at a financial services firm with 1,001-5,000 employees
The Snowflake Analytics documentation is excellent.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
Associate Principal Engineer at Nagarro
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
Solutions Architect at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
7.4
SAP IQ offers scalable solutions with Simplex and Multiplex architectures, accommodating vast data volumes across PCs or servers.
Sentiment score
7.7
Snowflake Analytics offers scalable cloud infrastructure, automatic resource management, and seamless data handling with strong performance for large data volumes.
SAP IQ is actually quite effective when it comes to scalability.
Tech Director at a computer software company with 1,001-5,000 employees
We can span the read and write load into multiple nodes, and that scalability is there.
Tech Lead, Database Section. at a financial services firm with 1,001-5,000 employees
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Senior Software Architect at USEReady
It supports both horizontal and vertical scaling effectively.
Solutions Architect at a financial services firm with 5,001-10,000 employees
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
Associate Principal Engineer at Nagarro
 

Stability Issues

Sentiment score
6.0
SAP IQ is stable, effectively managing complex transactions despite occasional issues, making it a reliable choice for implementations.
Sentiment score
8.4
Snowflake Analytics is highly rated for its stability and reliability, offering minimal issues and excellent cloud support performance.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
Tech Director at a computer software company with 1,001-5,000 employees
Snowflake Analytics has been stable and reliable in my experience.
Associate Principal Engineer at Nagarro
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
Solutions Architect at a financial services firm with 5,001-10,000 employees
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
 

Room For Improvement

SAP IQ faces challenges with high costs, inadequate training, stability issues, and integration limitations, impacting performance and adoption.
Snowflake Analytics requires better orchestration, integration, Python support, price transparency, data exports, and enhanced machine learning and performance features.
When there is an issue, the error messaging we get is not always sufficient to do a fast and solid fix.
Tech Director at a computer software company with 1,001-5,000 employees
It is easy to deploy SAP IQ; the implementation and installation are easy.
Tech Lead, Database Section. at a financial services firm with 1,001-5,000 employees
AIML-based SQL prompt and query generation could be an area for enhancement.
Senior Software Architect at USEReady
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
Solutions Architect at a financial services firm with 5,001-10,000 employees
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Associate Principal Engineer at Nagarro
 

Setup Cost

SAP IQ is cost-effective with various licensing models, though price understanding and negotiation are essential for optimal implementation.
Snowflake Analytics provides flexible pricing, balancing usability with cost, offering competitive rates and value through its decoupled storage and compute.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
BI Developer at DivVerse LLC
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Senior Software Architect at USEReady
Snowflake Analytics is quite economical.
Solutions Architect at a financial services firm with 5,001-10,000 employees
 

Valuable Features

SAP IQ features column-based architecture, high compression, rapid queries, large-scale data handling, and integration with SAP BusinessObjects.
Snowflake Analytics offers efficient, scalable data management with strong security, cloud flexibility, and advanced features for seamless data integration.
The feature I appreciate the most about SAP IQ is the compression, which is very good; we cannot compare with any other type of EDW.
Tech Lead, Database Section. at a financial services firm with 1,001-5,000 employees
The most valuable feature of SAP IQ for us is that it works very effectively with the SAP BusinessObjects which we use it with.
Tech Director at a computer software company with 1,001-5,000 employees
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
BI Developer at DivVerse LLC
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Solutions Architect at a financial services firm with 5,001-10,000 employees
It is a data offering where I can see data lineage, data governance, and data security.
Senior Software Architect at USEReady
 

Categories and Ranking

SAP IQ
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
23
Ranking in other categories
Relational Databases Tools (24th), Data Warehouse (15th)
Snowflake Analytics
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
43
Ranking in other categories
Web Analytics (2nd), Cloud Data Warehouse (10th)
 

Featured Reviews

KK
Tech Director at a computer software company with 1,001-5,000 employees
Works well with existing platform integration but could improve error messaging and technical support
I do not use SAP IQ's machine learning capabilities. I cannot assess the benefit of SAP IQ's distributed query processing for complex queries, as I am a non-technical operator. I am not sure if we use SAP IQ's data compression features. I think the compression we are doing is on the data storage level and not on the database level. I believe we do not use it, but I'm not certain. We do not utilize SAP IQ's support for unstructured data, as we do not have unstructured data. I do not have any strong opinions on SAP IQ's security features such as data encryption. It's not been something that has been much in focus, neither in our choice of the platform, nor in our daily operations. I guess they're satisfactory as they have not been a problem. I am not aware of the pricing and licensing of SAP IQ, as it's part of a bigger agreement, and I'm not the owner of that agreement. My impression is that SAP IQ is a rather expensive tool in terms of value for money. On a scale of 1-10, I rate SAP IQ a 7.
Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
879,889 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
36%
Comms Service Provider
7%
Outsourcing Company
7%
Computer Software Company
5%
Computer Software Company
16%
Financial Services Firm
8%
Healthcare Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise16
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise12
Large Enterprise21
 

Questions from the Community

What is your experience regarding pricing and costs for SAP IQ?
IQ implementation costs about three thousand dollars. It's less expensive compared to alternatives like Teradata Base in terms of transactional efficiency.
What needs improvement with SAP IQ?
When it comes to SAP IQ, the areas that could be improved or enhanced include the error messaging and the locking capabilities, as that's where we often encounter problems. When there is an issue, ...
What is your primary use case for SAP IQ?
Our usual use cases for SAP IQ is that we have a Software-as-a-Service architecture where this database is the foundation for our SAP BusinessObjects platform. This is where it's getting its data f...
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
I do not see any areas that could be improved with Snowflake Analytics.
 

Comparisons

 

Also Known As

Sybase IQ
No data available
 

Overview

 

Sample Customers

ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about SAP IQ vs. Snowflake Analytics and other solutions. Updated: December 2025.
879,889 professionals have used our research since 2012.