Compare Apache Hadoop vs. SAP BW4HANA

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Apache Hadoop Logo
12,625 views|10,548 comparisons
SAP BW4HANA Logo
3,028 views|2,244 comparisons
Most Helpful Review
Find out what your peers are saying about Apache Hadoop vs. SAP BW4HANA and other solutions. Updated: November 2020.
447,718 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 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.""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."

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"The most valuable feature is that it's robust.""The processes are the most valuable aspect of this solution.""Out of the box, this solution has a lot of standard features.""From an ERP point of view and a functionality point of view, it works very well. The benefits are in that of financial costing and material management.""The solution is easier to maintain than traditional SAP products.""The most valuable feature is the dashboard.""It can calculate data in detail. Before we could not calculate financial documents and accountant documents in detail, we could not do it at a document level but now we can. This is the most important feature. It also has predictive analysis memory.""The most valuable aspect of this solution is that the infrastructure is easy to understand."

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Cons
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.""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."

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"I cannot integrate it with my other tools. It's not possible to do something in the predictive analysis. Mobile reporting is also not available.""Connecting multiple sources is a challenge because you have to go through a lot of different setups.""In the next release, I would like to see their BI component introduced with a mobile version, as it is not currently present.""The solution does occasionally get a few bugs, but this is typical for any product.""The dashboard should be simplified and made easier for exploration and decision making.""Not a ten because it's expensive and its ecosystem is not very open.""Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive.""It takes too long to escalate problems from the first level of support."

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Pricing and Cost Advice
"This is a low cost and powerful solution."

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"This is an expensive solution and there are costs in addition to the standard licensing fees."

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Questions from the Community
Top Answer: Apache Hadoop is for data lake use cases. But getting data out of Hadoop for meaningful analytics is indeed need quite an amount of work. by either using spark/Hive/presto and so on. The way i look at… more »
Top Answer: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: The most valuable features are powerful tools for ingestion, as data is in multiple systems.
Top Answer: The most valuable aspect of this solution is that the infrastructure is easy to understand.
Top Answer: We have to pay extra in addition to licensing. Migration to HANA has costs that are higher than expected.
Top Answer: Pricing would be a good improvement. A lot of customers think that it's very expensive and support is especially very expensive.
Ranking
4th
out of 30 in Data Warehouse
Views
12,625
Comparisons
10,548
Reviews
9
Average Words per Review
425
Avg. Rating
7.7
9th
out of 30 in Data Warehouse
Views
3,028
Comparisons
2,244
Reviews
8
Average Words per Review
497
Avg. Rating
7.9
Popular Comparisons
Compared 21% of the time.
Compared 16% of the time.
Compared 11% of the time.
Compared 26% of the time.
Compared 14% of the time.
Compared 2% of the time.
Also Known As
SAP BW/4HANA
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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.

Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.

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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
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Top Industries
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider17%
Financial Services Firm11%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company47%
Comms Service Provider17%
Manufacturing Company6%
Retailer5%
Company Size
REVIEWERS
Small Business33%
Midsize Enterprise22%
Large Enterprise44%
REVIEWERS
Small Business45%
Large Enterprise55%
Find out what your peers are saying about Apache Hadoop vs. SAP BW4HANA and other solutions. Updated: November 2020.
447,718 professionals have used our research since 2012.
Apache Hadoop is ranked 4th in Data Warehouse with 9 reviews while SAP BW4HANA is ranked 9th in Data Warehouse with 9 reviews. Apache Hadoop is rated 7.6, while SAP BW4HANA is rated 7.8. 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 BW4HANA writes "Good technical support but the reporting performance is very poor". Apache Hadoop is most compared with Snowflake, VMware Tanzu Greenplum, Oracle Exadata, Vertica and Oracle Autonomous Data Warehouse, whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, Amazon Redshift, Oracle Database Appliance and SAP IQ. See our Apache Hadoop vs. SAP BW4HANA report.

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