Compare Apache Hadoop vs. SAP IQ

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Apache Hadoop Logo
9,363 views|7,633 comparisons
SAP IQ Logo
2,193 views|1,521 comparisons
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: July 2021.
521,690 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 best thing about this solution is that it is very powerful and very cheap.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""The ability to add multiple nodes without any restriction is the solution's most valuable aspect.""It's good for storing historical data and handling analytics on a huge amount of data.""The most valuable feature is the database.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""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 performance is pretty good."

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"Unbeatable speed and compression with a colummn-structured relational database."

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Cons
"The upgrade path should be improved because it is not as easy as it should be.""In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""It would be good to have more advanced analytics tools.""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.""The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning.""The solution is very expensive."

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"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
"This is a low cost and powerful solution."

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"The only costs after standard licensing fees are for add-ons and upgrades."

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Questions from the Community
Top Answer: Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.
Top Answer: I don't have any concerns because each part of Hadoop has its use cases. To date, I haven't implemented a huge product or project using Hadoop, but on the level of POCs, it's fine. The community of… more »
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Ranking
3rd
out of 30 in Data Warehouse
Views
9,363
Comparisons
7,633
Reviews
10
Average Words per Review
426
Rating
7.7
11th
out of 30 in Data Warehouse
Views
2,193
Comparisons
1,521
Reviews
1
Average Words per Review
1,235
Rating
8.0
Popular Comparisons
Also Known As
Sybase IQ
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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.

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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
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider16%
Financial Services Firm13%
Energy/Utilities Company5%
REVIEWERS
Financial Services Firm67%
Marketing Services Firm11%
Healthcare Company11%
Insurance Company11%
VISITORS READING REVIEWS
Computer Software Company37%
Financial Services Firm13%
Comms Service Provider12%
Government6%
Company Size
REVIEWERS
Small Business37%
Midsize Enterprise21%
Large Enterprise42%
REVIEWERS
Small Business19%
Midsize Enterprise13%
Large Enterprise69%
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: July 2021.
521,690 professionals have used our research since 2012.

Apache Hadoop is ranked 3rd in Data Warehouse with 9 reviews while SAP IQ is ranked 11th in Data Warehouse with 1 review. Apache Hadoop is rated 7.6, while SAP IQ is rated 8.0. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of SAP IQ writes "An excellent column-based, enterprise relational database solution with good speed and compression". Apache Hadoop is most compared with Snowflake, Microsoft Azure Synapse Analytics, VMware Tanzu Greenplum, Oracle Exadata and Oracle Big Data Appliance, whereas SAP IQ is most compared with SAP Adaptive Server Enterprise, SAP HANA, Oracle Database, Snowflake and SQL Server.

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