BigQuery vs SAP IQ comparison

Cancel
You must select at least 2 products to compare!
Google Logo
3,645 views|2,685 comparisons
100% willing to recommend
SAP Logo
458 views|359 comparisons
81% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between BigQuery and SAP IQ based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed BigQuery vs. SAP IQ Report (Updated: March 2024).
770,394 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The initial setup process is easy.""It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions.""The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds.""When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option.""It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution.""The query tool is scalable and allows for petabytes of data.""The setup is simple.""The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."

More BigQuery Pros →

"Unbeatable speed and compression with a colummn-structured relational database.""The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required.""The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution.""It is very robust for ad hoc DW queries and its columnar compression is unique and valuable.""Valuable features for us include the compression, speed, fast response time, and easy object maintenance.""Columnar storage allows high compression, high load rates and high query performance."

More SAP IQ Pros →

Cons
"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in.""They could enhance the platform's user accessibility.""It would be beneficial to integrate additional tools, particularly from a business intelligence perspective.""I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up.""I noticed recently it's more expensive now.""There are some limitations in the query latency compared to what it was three years ago.""The product’s performance could be much faster.""We'd like to have more integrations with other technologies."

More BigQuery Cons →

"I think the universe should be part of the Sybase IQ tool set.""Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups.""The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better.""The room for improvement would be the marketing of the product, because this product is much better than advertised.""Concurrency and functional error messaging.""The organization who owns the product does not support it well and appears not to be doing significant development for the future."

More SAP IQ Cons →

Pricing and Cost Advice
  • "I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
  • "BigQuery is inexpensive."
  • "One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
  • "The price is a bit high but the technology is worth it."
  • "The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
  • "The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
  • "BigQuery pricing can increase quickly. It's a high-priced solution."
  • "The pricing is good and there are no additional costs involved."
  • More BigQuery Pricing and Cost Advice →

  • "Evaluate all options; check to see if you need expensive add-ons."
  • "Negotiate based on the features required."
  • "Negotiation is very important."
  • "The only costs after standard licensing fees are for add-ons and upgrades."
  • More SAP IQ Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
    770,394 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The initial setup process is easy.
    Top Answer:They could enhance the platform's user accessibility. Currently, the structure of BigQuery leans more towards catering to hard-code developers, making it less user-friendly for data analysts or… more »
    Top Answer:The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves… more »
    Top Answer:The solution’s pricing is high, but coverage is good with high implementation with customer requirements.
    Top Answer:The product should add more business intelligence factors.
    Ranking
    5th
    Views
    3,645
    Comparisons
    2,685
    Reviews
    31
    Average Words per Review
    502
    Rating
    8.1
    Views
    458
    Comparisons
    359
    Reviews
    1
    Average Words per Review
    559
    Rating
    7.0
    Comparisons
    Snowflake logo
    Compared 50% of the time.
    Teradata logo
    Compared 16% of the time.
    Vertica logo
    Compared 8% of the time.
    Apache Hadoop logo
    Compared 4% of the time.
    Snowflake logo
    Compared 30% of the time.
    SAP HANA logo
    Compared 18% of the time.
    SAP BW4HANA logo
    Compared 15% of the time.
    SQL Server logo
    Compared 14% of the time.
    Apache Hadoop logo
    Compared 11% of the time.
    Also Known As
    Sybase IQ
    Learn More
    Overview

    BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

    SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.

    Sample Customers
    Information Not Available
    ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
    Top Industries
    REVIEWERS
    Financial Services Firm11%
    Computer Software Company11%
    Comms Service Provider11%
    Transportation Company6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm13%
    Manufacturing Company11%
    Retailer7%
    REVIEWERS
    Financial Services Firm55%
    Healthcare Company9%
    Insurance Company9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm39%
    Computer Software Company10%
    Manufacturing Company7%
    Government4%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise21%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise67%
    REVIEWERS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise8%
    Large Enterprise81%
    Buyer's Guide
    BigQuery vs. SAP IQ
    March 2024
    Find out what your peers are saying about BigQuery vs. SAP IQ and other solutions. Updated: March 2024.
    770,394 professionals have used our research since 2012.

    BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while SAP IQ is ranked 21st in Relational Databases Tools with 17 reviews. BigQuery is rated 8.2, while SAP IQ is rated 8.0. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and Apache Hadoop, whereas SAP IQ is most compared with Snowflake, SAP HANA, SAP BW4HANA, SQL Server and Apache Hadoop. See our BigQuery vs. SAP IQ report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.