SAP IQ vs. SQL Server

As of June 2019, SAP IQ is ranked 6th in Relational Databases with 6 reviews vs SQL Server which is ranked 1st in Relational Databases with 30 reviews. The top reviewer of SAP IQ writes "A column-based solution with the highest performance on query". The top reviewer of SQL Server writes "Just like a Windows PC needs basic defragmentation maintenance to run effectively, SQL Server needs its own regular maintenance". SAP IQ is most compared with SAP Adaptive Server Enterprise, Apache Hadoop and SQL Server. SQL Server is most compared with Oracle Database, SAP HANA and Teradata. See our SAP IQ vs. SQL Server report.
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SAP IQ Logo
11,561 views|3,467 comparisons
SQL Server Logo
29,332 views|16,228 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about SAP IQ vs. SQL Server and other solutions. Updated: May 2019.
348,558 professionals have used our research since 2012.
Quotes From Members

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

Pros
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.

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It is one of the most stable relational databases out there.I have experience with this product for many years. I never have problems with it. It can handle a PC, and it can also handle huge data. It is fast and efficient.This solution has proven stability and operational power.Tuning Advisor suggests where to add indexes and from where to remove them. It works like an adviser.SQL Server Profiler makes finding and debugging easy.I use it to fine tune my procedures and functions.Enables us to convert to bigger DBs and more easily move or upgrade between branches.Without any doubt the Integration Services and Analysis Services are the most widely used. These are the basis for data quality, data gathering, ETL process, as well as collation for the data warehouse, Cube-generation, and ad-hoc processes. The ease in which you may mold a process flow or even modularly add in new structures is something which is much needed in my job.

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Cons
The room for improvement would be the marketing of the product, because this product is much better than advertised.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.I think the universe should be part of the Sybase IQ tool set.Concurrency and functional error messaging.

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I would like to see native plugins built for other platforms versus having to buy third-party plugins to tap into S3 buckets and AWS Cloud. Right now, it does not have those built-in plugins.It would be nice if there was a feature to search for a specific value across multiple tables. This would save a lot of time for its users.Improvements to the indexing, columnstore indexing, and high availability groups are good improvements for future versions.Third-party services from Redgate should be built-in to it, like SQL Search.Debugging from the debugger tool functionality should be enhanced.From a DB administrator perspective, I would like to see more space requirements and space capacity history, so that we are able to see which DBs are growing, and by how much per day or week.An area for improvement would be the SQL Server process monitoring, which is quite basic and could sustain more information.The only item which I can list is application failure during Integration Services debugging, when restarting a process flow. In a number of instances the solutions fails. I have not given this much thought and simply stop and start the debugging service rather than restarting.

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Pricing and Cost Advice
Negotiation is very important.Negotiate based on the features required.Evaluate all options; check to see if you need expensive add-ons.

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It is expensive, but you get what you pay for.Since we are a cloud-based company, there is AWS pricing on top of the SQL Server pricing. The Enterprise Edition can typically sell from around $1000 dollars a month, which is not cheap. Then, there is an additional one-time Windows cost, based on the code, which can go anywhere from $30,000 to $40,000 for the license.The setup cost is high, but it will return every penny.My advice is quite straightforward. If you know the number of users who really and truly need access to the Server then it is a no-brainer. If you do not know, then get the basic package and minimum licenses and start from there. Needless to say, users can develop/use data structures outside and then deploy onto the Server.The price has been going higher and higher. The market is quite price sensitive.This is a downside of enterprise Microsoft products.Currently, almost all of my machines are in Azure and I think it is the best way of licensing now (VM+software).​We are a Microsoft shop, so we use Active Directory. That integrates well with this product, but we did look at Oracle. We also looked at IBM. This was the best price point for us for what we were getting.​

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report
Use our free recommendation engine to learn which Relational Databases solutions are best for your needs.
348,558 professionals have used our research since 2012.
Ranking
6th
Views
11,561
Comparisons
3,467
Reviews
6
Average Words per Review
346
Avg. Rating
7.8
1st
Views
29,332
Comparisons
16,228
Reviews
33
Average Words per Review
413
Avg. Rating
8.5
Top Comparisons
Compared 18% of the time.
Compared 12% of the time.
Compared 19% of the time.
Compared 15% of the time.
Compared 15% of the time.
Also Known As
Sybase IQMicrosoft SQL Server, MSSQL, MS SQL
Learn
SAP
Microsoft
Overview

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.

SQL Server is the Microsoft-driven relational database management system. This system is used to store data as well as retrieve it when necessary; these functions can be supported by individual users or by multiple users within a larger network. The Microsoft SQL Server has warehousing options, quality and integration services, management tools that are simple to implement, as well as robust tools for development.

Looking at the more technical end of things, Microsoft SQL Server uses query languages such as T-SQL and ANSI SQL. Disaster recovery is one of the product's most prominent features, in addition to in-memory performance, scalability, and corporate business intelligence capabilities.

Offer
Learn more about SAP IQ
Learn more about SQL Server
Sample Customers
ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.Microsoft SQL Server is used by businesses in every industry, including Great Western Bank, Aviva, the Volvo Car Corporation, BMW, Samsung, Principality Building Society, Wellmark Blue Cross and Blue Shield, and the Catholic District School Board of Eastern Ontario.
Top Industries
REVIEWERS
Financial Services Firm75%
Marketing Services Firm13%
Healthcare Company13%
REVIEWERS
Retailer9%
Comms Service Provider9%
Logistics Company9%
Transportation Company9%
VISITORS READING REVIEWS
Comms Service Provider32%
Financial Services Firm22%
Transportation Company11%
Insurance Company7%
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise13%
Large Enterprise67%
REVIEWERS
Small Business29%
Midsize Enterprise34%
Large Enterprise38%
VISITORS READING REVIEWS
Small Business28%
Midsize Enterprise12%
Large Enterprise60%
Find out what your peers are saying about SAP IQ vs. SQL Server and other solutions. Updated: May 2019.
348,558 professionals have used our research since 2012.
We monitor all Relational Databases 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.

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