BoT, BoX or BoH (BW-on-HANA)-Version 2

Question: What does Radio VOE (Voice of Experience) recommend about migrating  SAP-BW to

[1] Teradata;

[2] Exadata/Exalytics; or

[3] HANA

Ask 1: What is the major difference between Oracle Exadata+Exalytics and HANA
Oracle Exadata is a standard RDBMS row storage data base. It uses the legacy methodology for modeling that includes. In order to run queries as fast as BW Accelerator it needs Exalytics (Which is exactly like the BWA)
1. Extraction to a PSA
2. Storage to an DW layer: ODS and Cubes
3. Indexing
4. Aggregation
5. Caching summaries
6. Query calculation in a separate server
7. Query Optimization in Exalytics (separate Server)
8 Query Results and rendering
All this creates multiple copies of data, is infra heavy and creates a latency between Data creation and Analytics (Decision Systems)
  

Visualization  1: Attributes for customers with SAP applications as source system for 50%+ of critical data

This above view represents a visual radar as to the capabilities of BoT, BoX and BoH











Visualization  2: Same information different visual

 

This visualization is a tabular view of Teradata, Exadata+Exalytics and HANA

      1.        BW-on-Teradata (BoT)

In the early 2000’s SAP partnered with Teradata as an alternative database for BW. To cut the story short globally there is currently only one customer with BW on Teradata and probably will always remain as the only customer to have ever taken a very short trip on a BoT (BW on Teradata). You don’t want to go there or ever take this path.. end of story

So that should lay to rest any endeavor for a BoT migration

PS the customer is currently seriously considering migrating their BoT to BoH in 2013..

Recommendation: Keep away from even trying a POC for a BW on Teradata.

     2.       BoX (BW-on-Exadata) vs. BoH (BW-on-HANA):-

F     For BW-on-Exadata the foundational advice would be similar to the one for BW-on-TD. If 99% of the planet is going on one path don't try to reinvent another one on your own. There is inherent safety in numbers. Radio VOE has validated that the strategic advantage of following the herd far outweighs the adventurist assumptions & costs of being a loner, ie. Having the self-cannibalistic honor of being the 5:3000 implementations on a unique track does carry its own risks and disadvantages. The key decision is not only about tactical cost but about strategic Business Value.

       Keep this as your 'center-of-the-universe' decision factor of your final decision.

Recommendation: Let the strategic benefit and the process drive your decision, not some business emergency creating unrealizable timelines due to inefficiencies of the past, drive your process.

Visual 3- An Oracle chart from Oracle Site on Exadata

This screen shot is from an oracle website for Exadata. It is important to note that at best Oracle can take a 50 minute Query down just below 7 minutes, another 40 minutes query down to 3 minutes and 40 seconds. The best they can report is 40 seconds to 4 seconds










Now let us dive together and look at what lies under the cover

Attributes	BoX (BW on Exadata)	BoH (BW-on-HANA)
What it really is	Database	Business Application platform
Does it need anything else	·  Mostly will need Times 10 for data load ·  Exalytics for OLAP acceleration	Nothing else
Core Strength	Write, i.e. getting data in	Read, i.e. getting data out
What you get on the BW side	Database	·  Business Application Platform ·  Over 300 RDS solutions ·  Automated Database slimming applications ·  Predictive analytics platform ·  Prescriptive analytics capabilities
What you get with SoH ·  ECC (ERP) ·  CRM ·  SCM	Database	·  Over 900 prebuilt views for real-time operational views ·  Prebuilt Operational analytics that come free with SoH ·  Access to state-of-art analytics and informatics ·  Predictive analytics platform and algorithms
Database Type	·  Exadata is standard RDBMS ·   Exalytics is Columnar for OLAP	Columnar and In-memory
Apples to Apples	Exadata + Exalytics (appliance)	HANA (appliance)
Pricing	·  Exadata for the db write ·  Plus Exalytics, for the read (analytics) ·  A license for every non PRD system including DR ·  Data base license, Plus Analytics engine ·  OLAP engine ·  Calculation engines and other applications ·  Check the total and final cost of ownership	All in one HANA platform and one price for PRD HANA. All other systems in the landscape come free

Master Node RAM availability	NA	1TB currently, up to 8TB by Q2 of ’14 and up to 16TB by Q4 of ‘14
Similarities	Exadata is an appliance	BW on HANA is an appliance
ACID compliance	NA	Fully Compliant
Need for MOLAP, Aggregates, Caches	Yes	No
Very High Strength	·  Structured data - Oracle ERP ·  No seamless SAP integration ·  No seamless comprehension to SAP  config changes	·  Structured Data- integration to SAP Applications ·  100% seamless integration to SAP Master and transactional configurations ·  Seamless merging of multiple master data and source system deviances – on the fly in memory mergers

Medium Strength	Seamless	Seamless Integration to semi Structured data
Weakness	Unstructured pure Big Data Partnered with Hadoop	·  Unstructured pure Big Data ·  Partnered with Hadoop providers ; Funding Hadoop startups
Competition	Box compete with Teradata	HANA has no apparent competition for SAP customers.
No of Customers	NA	2400+ to date
Additional Needs	Will need Exalytics to provide accelerated queries	Does not need any additional accelerators
HW selection	·  Only from Oracle ·  Monopoly in HW development, support and services. No competitive forces encouraged.	Multiple global HW partners approved by SAP . This leads to customer advantage as it leverages automatic market driven  competitiveness and development between HW partners
Who are the top HW Suppliers	Oracle, Oracle and Oracle	HP is currently reported to be in the leadership position for HANA appliance installations followed by IBM

Strategic Impact	Does not align with SAP Suites strategy	Aligns to the HANA One-database strategy where customers get actual gains of HANA. Zero latency between OLTP and OLAP
How does it transform	·  Disc to server and back. ·  Data is passed from server to server till results are compiled. There is a need to break up responses	·  Database ·  All the calculations are done in memory in the db itself ·  No need to break up responses
How does it perform	·  Slower than Teradata ·  Oracle Benchmark: 10 bill records under 10 secs	·  Fastest on the planet ·  My experience 45 billion records under 10sec ·  SAP Benchmark- 240 billion records under 1sec
Maturity of the technology	Is equivalent to BW Accelerator (thus 2006)	Undisputed global leader
Point of Transformation	OLAP Layer – 90+% This is the worst point of transformation Better is in the DW layer	Optimal point of transformation = database layer

How does it work	·    1.  Database server to ·    2.  Compute server to ·    3.  Storage cells to Exadata cells	All in-memory
Data Loading	·  ETL files in DBFS ·  Oracle golden Gate ·  Streams ·  3rd Party	·  Data integration tools ·  SLT (Real-time from ECC ·  BODS for batch loads ·  DXC direct BW
*** License	Every system in the landscape is subject to a SEPARATE license 1.        DEV, Test, QA, and PROD 2.        HA, RD and Training 3.        Other, i.e. Projects landscapes, etc..	Only PROD is licensed All other systems and Free (not licensed)
What you get	Traditional DB accelerator 1.       Traditional ‘Wait and Debate’ engine 2.       Database 3.       Transaction Engine Everything else supposedly are separate tools and licenses	Breakthrough HANA Platoform 1.        Real-time ‘Business NOW’ engine 2.        Database 3.        Transaction Engine 4.        Dimensional Engine 5.        Analytics Engine 6.        Predictive Engine 7.        Text Engine

Modeling methodology	Traditional- 10+ steps 1.      ETL 2.      DW 3.      ODS 4.      Cube 5.      Caching 6.      Indexing 7.      Aggregation 8.      Query Calculation Engine 9.      Query Transform 10.  Query Rendering = RESULTS	Breakthrough 4-steps 1.      ELT/ ETL 2.      DSO 3.      In-Memory Analytics 4.      Query Rendering = RESULTS
Impact of modeling method	·         Latency between operational and decision data ·         Infrastructure intensive ·         Expensive by system resources ·         Creates duplicates and is slow	Up to 1,000 times faster No indexing or aggregates
Calculation / Transformation methodology	Traditional: ·         Most at OLAP (Query) layer – extremely inefficient ·         Rest in DW layer                    - Very Inefficient	Breakthrough calculation ·         Direct database transformations ·         Real-time db calculations ·         No mid-tier bottlenecks
Data-Center Impacts	·         Typically RAC (extra Costs) ·         Storage uses ASM failure groups ·         Box is a single point of failure ·         DR is a full license	Uses MPP automatic failover
Disaster recovery	·         License: full license for HCC, and even remote mirroring ·         2nd Exadata server/ non-Exadata server ·         Decompression to standard Oracle server possible with considerable performance loss	License: No extra Charge Provided by HANA vendors

For SAP customers

You just get another database. That too mostly RDBMS

All new functionalities only being developed on HANA 1.        BW seamless upgrade & migration in one step 2.        Over 900 views for ECC 3.        New RDS for CRM 4.        New RDS for SCM 5.        Industry specific solutions

Just FYI in 2013 SAP, HP BMSoft and Red-Hat broke the Guinness World record for the largest data load at 34.3TB in one hour
The certificate is attached to the left..


Happy reading to this second print as the first one had got damaged in translation and lost most of its table properties, it is now back but I will keep updating this one as more information becomes available