Apache Hadoop vs SAP IQ comparison

Cancel
You must select at least 2 products to compare!
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).
771,212 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 most valuable feature is the database.""​​Data ingestion: It has rapid speed, if Apache Accumulo is used.""One valuable feature is that we can download data.""The performance is pretty good.""The best thing about this solution is that it is very powerful and very cheap.""High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""It's open-source, so it's very cost-effective."

More Apache Hadoop Pros →

"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable.""The product is easy to learn.""The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution.""Valuable features for us include the compression, speed, fast response time, and easy object maintenance.""The initial setup is easy.""Columnar storage allows high compression, high load rates and high query performance.""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."

More SAP IQ Pros →

Cons
"The stability of the solution needs improvement.""I would like to see more direct integration of visualization applications.""The integration with Apache Hadoop with lots of different techniques within your business can be a challenge.""It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.""It could be more user-friendly.""Since it is an open-source product, there won't be much support.""The upgrade path should be improved because it is not as easy as it should be.""What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."

More Apache Hadoop Cons →

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

More SAP IQ Cons →

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 →

    report
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    771,212 professionals have used our research since 2012.
    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 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
    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
    Snowflake logo
    Compared 29% of the time.
    SAP HANA logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    SAP BW4HANA logo
    Compared 14% of the time.
    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 Firm28%
    Computer Software Company11%
    University6%
    Comms Service Provider6%
    REVIEWERS
    Financial Services Firm55%
    Marketing Services Firm9%
    Healthcare Company9%
    Insurance Company9%
    VISITORS READING REVIEWS
    Financial Services Firm39%
    Computer Software Company10%
    Manufacturing Company7%
    Government5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business14%
    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.
    771,212 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 33 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 SAP BW4HANA, whereas SAP IQ is most compared with Snowflake, SAP HANA, SQL Server, 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.