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BigQuery vs SAP IQ 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
7.4
Organizations experienced improved performance and cost savings after adopting BigQuery, achieving a 75% cost reduction and efficient data management.
Sentiment score
7.0
SAP IQ offers a high ROI with low implementation costs and significant hardware savings, despite some users not tracking exact returns.
 

Customer Service

Sentiment score
7.2
Customers generally find BigQuery support helpful, but integration challenges and resource availability need improvement despite positive responsiveness.
Sentiment score
5.6
SAP IQ's service is mixed, with good global support but issues with expertise, staff shortages, and inefficient initial responses.
I have been self-taught and I have been able to handle all my problems alone.
rating the customer support at ten points out of ten
 

Scalability Issues

Sentiment score
8.0
BigQuery offers impressive scalability and efficiency for large data, but may be costly and present integration challenges for smaller users.
Sentiment score
7.4
SAP IQ excels in scalability, with easy expansion, though some multiplex architecture limitations are noted by users.
It is a 10 out of 10 in terms of scalability.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
 

Stability Issues

Sentiment score
8.5
BigQuery is highly stable and reliable for cloud data analytics, efficiently handling large volumes with minor issues.
Sentiment score
6.1
SAP IQ's stability has improved, handling high data volumes well, despite occasional issues in earlier versions under high load.
 

Room For Improvement

BigQuery users face challenges with migration, integration, cost, scaling, user interfaces, and call for better machine learning capabilities.
SAP IQ needs better integration, stability, training, and affordability to overcome awareness and concurrency issues, enhancing user appeal.
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
In general, if I know SQL and start playing around, it will start making sense.
 

Setup Cost

BigQuery offers flexible, pay-as-you-go pricing based on data usage, with low storage costs and adaptable enterprise plans.
SAP IQ offers cost-effective licensing options and economical implementation, ideal for large databases needing partitioning and performance evaluation.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
 

Valuable Features

BigQuery excels in scalability, performance, cost-efficiency, and integration with Google products, making it ideal for complex data analyses.
SAP IQ provides fast query processing, data compression, and scalability, ideal for BI with high data demands and user concurrency.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
41
Ranking in other categories
Cloud Data Warehouse (3rd)
SAP IQ
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
21
Ranking in other categories
Relational Databases Tools (27th), Data Warehouse (16th)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
Tejas Raj - PeerSpot reviewer
Columnar database, so pulling records is easy but there isn't enough documentation for installation
I've seen very few SAP IQ systems in recent years. So people are moving away from SAP IQ In the last three years, I've rarely encountered customers using it. Fewer systems with SAP IQ usage among our customers. Most of them have moved on to HANA. There are parallel products, and there are also viable alternatives from AWS, so many have migrated to those.
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
16%
Manufacturing Company
12%
Retailer
8%
Financial Services Firm
42%
Computer Software Company
8%
Manufacturing Company
6%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...
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?
The primary negative aspect is the cost, which can be a challenge due to the economic conditions in Peru.
What is your primary use case for SAP IQ?
I worked on implementing new databases, migration data in production, and developer environments with SAP IQ.
 

Comparisons

 

Also Known As

No data available
Sybase IQ
 

Overview

 

Sample Customers

Information Not Available
ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
Find out what your peers are saying about BigQuery vs. SAP IQ and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.