Compare Apache Hadoop vs. SAP IQ

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Apache Hadoop Logo
13,113 views|10,991 comparisons
SAP IQ Logo
3,090 views|2,127 comparisons
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Oracle, Micro Focus and others in Data Warehouse. Updated: August 2020.
437,323 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 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 most valuable features are powerful tools for ingestion, as data is in multiple systems.The most valuable feature is the database.It's good for storing historical data and handling analytics on a huge amount of data.The ability to add multiple nodes without any restriction is the solution's most valuable aspect.What comes with the standard setup is what we mostly use, but Ambari is the most important.The best thing about this solution is that it is very powerful and very cheap.The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics.

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

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Cons
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.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 would be good to have more advanced analytics tools.The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency.The upgrade path should be improved because it is not as easy as it should be.We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.

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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: Interactive querying as a consumption pattern is something Snowflake handles much better than Hadoop and related query engine options - Impala, Presto, Drill etc. Heavy data scientists query workload… more »
Top Answer: I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
Top Answer: The most valuable features are powerful tools for ingestion, as data is in multiple systems.
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Ranking
4th
out of 32 in Data Warehouse
Views
13,113
Comparisons
10,991
Reviews
8
Average Words per Review
429
Avg. Rating
7.8
12th
out of 32 in Data Warehouse
Views
3,090
Comparisons
2,127
Reviews
1
Average Words per Review
1,235
Avg. Rating
8.0
Popular Comparisons
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Compared 8% of the time.
Compared 8% of the time.
Also Known As
Sybase IQ
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Apache
SAP
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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Learn more about Apache Hadoop
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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 LabASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
Top Industries
VISITORS READING REVIEWS
Computer Software Company40%
Comms Service Provider14%
Financial Services Firm9%
Media Company8%
REVIEWERS
Financial Services Firm67%
Healthcare Company11%
Insurance Company11%
Marketing Services Firm11%
VISITORS READING REVIEWS
Computer Software Company50%
Comms Service Provider14%
Government9%
Retailer6%
Find out what your peers are saying about Snowflake Computing, Oracle, Micro Focus and others in Data Warehouse. Updated: August 2020.
437,323 professionals have used our research since 2012.
Apache Hadoop is ranked 4th in Data Warehouse with 8 reviews while SAP IQ is ranked 12th in Data Warehouse with 1 review. Apache Hadoop is rated 7.8, 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 VMware Tanzu Greenplum, Snowflake, Oracle Exadata, Vertica and SAP BW4HANA, whereas SAP IQ is most compared with SAP Adaptive Server Enterprise, SAP HANA, Oracle Database, SQL Server and Oracle Exadata.

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