Apache Hadoop vs SAP IQ comparison

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Apache Logo
2,467 views|2,110 comparisons
87% willing to recommend
SAP Logo
567 views|443 comparisons
83% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Apache Hadoop vs. SAP IQ Report (Updated: May 2024).
772,649 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 solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so.""The tool's stability is good.""The most valuable feature is the database.""The best thing about this solution is that it is very powerful and very cheap.""​​Data ingestion: It has rapid speed, if Apache Accumulo is used.""I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""The most valuable feature is scalability and the possibility to work with major information and open source capability."

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"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.""The initial setup is easy.""The product is easy to learn.""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.""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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Cons
"Since it is an open-source product, there won't be much support.""It could be more user-friendly.""The integration with Apache Hadoop with lots of different techniques within your business can be a challenge.""The load optimization capabilities of the product are an area of concern where improvements are required.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data.""I think more of the solution needs to be focused around the panel processing and retrieval of data.""In certain cases, the configurations for dealing with data skewness do not make any sense."

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"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 room for improvement would be the marketing of the product, because this product is much better than advertised.""I think the universe should be part of the Sybase IQ tool set.""The tool gets stuck sometimes.""Concurrency and functional error messaging.""There is very little documentation available.""The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better.""The organization who owns the product does not support it well and appears not to be doing significant development for the future."

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Pricing and Cost Advice
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • "We just use the free version."
  • More Apache Hadoop 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."
  • "It's not that costly. So, the pricing is cheap."
  • More SAP IQ Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
    Top Answer:Since it is an open-source product, there won't be much support. So, you have to have deeper knowledge. You need to improvise based on that.
    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 tool gets stuck sometimes. The databases freeze suddenly during testing.
    Ranking
    5th
    out of 35 in Data Warehouse
    Views
    2,467
    Comparisons
    2,110
    Reviews
    11
    Average Words per Review
    563
    Rating
    7.9
    17th
    out of 35 in Data Warehouse
    Views
    567
    Comparisons
    443
    Reviews
    1
    Average Words per Review
    364
    Rating
    7.0
    Comparisons
    Also Known As
    Sybase IQ
    Learn More
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    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
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
    Top Industries
    REVIEWERS
    Financial Services Firm35%
    Comms Service Provider24%
    Hospitality Company6%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company11%
    University6%
    Manufacturing Company5%
    REVIEWERS
    Financial Services Firm55%
    Marketing Services Firm9%
    Healthcare Company9%
    Insurance Company9%
    VISITORS READING REVIEWS
    Financial Services Firm40%
    Computer Software Company10%
    Manufacturing Company6%
    Government5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise8%
    Large Enterprise81%
    Buyer's Guide
    Apache Hadoop vs. SAP IQ
    May 2024
    Find out what your peers are saying about Apache Hadoop vs. SAP IQ and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while SAP IQ is ranked 17th in Data Warehouse with 19 reviews. Apache Hadoop is rated 7.8, while SAP IQ is rated 7.8. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and AWS Lake Formation, whereas SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, SAP BW4HANA and SAP Adaptive Server Enterprise. See our Apache Hadoop vs. SAP IQ report.

    See our list of best Data Warehouse vendors.

    We monitor all 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.