SAP Business Warehouse vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP BW
Score 8.6 out of 10
N/A
SAP Business Warehouse, or SAP BW (formerly SAP NetWeaver Business Warehouse) is SAP's legacy data warehouse solution, now superseded by SAP BW/4HANA, and the SAP Data Warehouse Cloud which was launched in 2019. SAP BW versions up to 7.4 have reached end of maintenance. SAP BW 7.5 support is extended to align with SAP Business Suite with NetWeaver components. For existing customers maintenance is scheduled to continue through 2027, with extended support available through 2030.N/A
VMware Tanzu Data Services
Score 6.0 out of 10
N/A
Tanzu Data Services is a family of data-driven solutions built to store, process, and query critical data resources in real-time and at massive scale, both on-premises and in the multi-cloud world.N/A
Pricing
SAP Business WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP BWVMware Tanzu Data Services
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Business WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Features
SAP Business WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
SAP Business Warehouse
8.5
Ratings
3% below category average
Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
-
Ratings
Multi-User Support (named login)9.50 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.50 Ratings00 Ratings
Single Sign-On (SSO)9.50 Ratings00 Ratings
Location-Based Data Governance6.40 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SAP Business Warehouse
8.7
Ratings
10% above category average
Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
-
Ratings
Data model creation8.70 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
SAP Business Warehouse
5.4
Ratings
2% above category average
Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
-
Ratings
Visualization5.40 Ratings00 Ratings
Data Warehouse
Comparison of Data Warehouse features of Product A and Product B
SAP Business Warehouse
7.5
Ratings
2% below category average
Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
-
Ratings
High-Volume Data Processing7.90 Ratings00 Ratings
Data Warehouse Management9.00 Ratings00 Ratings
Administrative Automation7.50 Ratings00 Ratings
Self-Optimization5.60 Ratings00 Ratings
User Ratings
SAP Business WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
8.4
(0 ratings)
8.0
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
SAP Business WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
SAP BW is best for: 1. Large enterprises 2. Enterprises with 3+ legacy systems with entrenched users (politically difficult to merge) 3. Enterprises with employees who can understand both the technical capabilities of SAP BW and the needs of the business users - ability to speak both languages, otherwise the program could be unwieldy and potentially underutilized (it's not particularly inexpensive) SAP BW is less appropriate for: 1. Small enterprises 2. Enterprises who have well established, same location, CRM and UFS - the integration of data analysis will be easier and less expensive with other solutions 3. HANA
Read full review
If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.
Read full review
Pros
  • ETL, great at taking data from OLTP source, flat file, etc... Easy drag and drop for transformations.
  • Great reporting possibilities, easy to connect with BO, BPC, etc...
  • Great Master Data Management (MDM )for BPC - helps us maintain master data for BPC.
Read full review
  • Apache MADlib provides popular machine learning functionality.
  • Allows you to query terabytes of data databases.
  • Interoperability for AWS S3 is effortless.
Read full review
Cons
  • Age of software is showing as it struggles with very large data modules, which were not as prevalent in its early years
  • Querying performance at times can be very slow
  • Support and development for BEx has been discontinued or hard to find.
Read full review
  • Running on Azure is a little more difficult.
  • Synchronization with Kafka may be a little easier.
Read full review
Usability
It needs minimal trainings and can perform tasks of data management and reporting.
Read full review
No answers on this topic
Support Rating
No answers on this topic
They were very helpful. We needed support for initial implementation.
Read full review
Alternatives Considered
SAP Business Warehouse scores higher in data warehouse functionalities for integration to SAP ERP and other SAP solutions such as SAP CRM, SAP APO, and SAP SRM. Standard SAP data source extractors which are available in SAP ERP can be used immediately for full or delta replication into SAP Business Warehouse. System governance in SAP Business Warehouse is top-notch with change management support for migration between system landscape from the development system to production system.
Read full review
No answers on this topic
Return on Investment
  • It has helped cut down on parts shortages with the minimum stock flags.
  • People are able to track down parts easier because they can see where they were last used.
  • Our sales team has better visibility on lead times so they can accurately quote our customers.
Read full review
  • There was a noticeable reduction in system reliability.
  • Saw a reduction in unsuccessful analytics operations.
Read full review
ScreenShots