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NETEZZA VS TERADATA VS
EXADATA
Asis Mohanty
CBIP, CDMP
asismohanty@gmail.com
Comparison Criteria
• Architecture
• Scalability
• Reliability
• Performance
• Compatibility
• Affordability
• Manageability
Architecture
   Functionality               Netezza                    Teradata             Exadata

Commodity/Proprietary Proprietary                 Proprietary            Proprietary
                      Asymmetric Massively
                      Parallel Processing (best                          Hybrid MPP-Shared
                      combination of SMP +                               everything
MPP                   MPP)                        True MPP               architecture.Clustered
                      Recommended for Data
                      Warehouse and               Both OLTP and EDW      Both OLTP and EDW
OLTP/EDW              Analytical platform         supported              supported
                                                  Bynets - 10 Gigabit
                                                  Ethernet
                       10gbps gigabyte            Interconnect node to   40gbps infiniband
Interconnect           Ethernet                   node                   switch
                       FPGA-Field                                        Smart scan and data
Storage layer          Programmable Gate                                 offloaded on storage
offloading             Arrays                                            server

Hardware Flexibilty    Fixed                      Fixed                  Fixed
                                                                         Linux and solaris-
O/S flexibility        Linux-preconfigured o/s Linux                     preconfigured o/s
Scalability
   Functionality                 Netezza               Teradata                 Exadata
                                                  Eight nodes in a fully Can scale from qtr to
Linear Scalability for   Scale upto qtr->half-    populated cabinet      half and full rack upto 8
storage                  >full rack               scalable to 6 cabinets full racks.
Linear Scalability for                            96 GB memory in        Fixed memory of 96gb
memory                   fixed                    each node              per node
                                                  Teradata integrated
                                                  data warehouse high-
                                                  speed data transfer
                                                  infrastructure and
                                                  native Hadoop          Open to use
Open to third party      open to use hadoop for   connectivity are       hadoop/nosql for
storage                  unstructured data        included.              unstructured data
                                                                         96gb can expand to
Memory Exapansion        Scalable                                        144gb per node
                                                  Scalable up to 6 fully
                                                  populated cabinets
                                                  and 200 Terabytes of Storage expansion can
Storage Exapansion       Scalable up to PB        customer data space scale upto
Reliability
   Functionality           Netezza          Teradata               Exadata
                                       Teradata software     High availabilty -
                                       redundant design      clustered instances.
                                       using journals and    Redundancy at every
Availability       High availability   fallback mechanism.   layer.
                                                             High redundancey ASM
                                       RAID-1 & RAID-0       mirroring as storage
Mirroring          Full mirroring      Available             layer

Data integrity     Fully ACID          ACID compliant        Fully ACID
Performance
   Functionality             Netezza                   Teradata                Exadata
                                                                        Query data offloaded to
                                                                        storage layer and using
                      AMPP (Asymmetric                                  storage index it
                      Massively Parallel                                retrieved required rows
                      Processing), Distribution                         avoiding unnecessary
Storage scan          Key & Row-Id ..                                   i/o
                                                  Teradata is based on
                                                  Primary Index and
                                                  Hashing algorithm is
Indexing              No Indexing                 dependent on PI      Required for oltp
                                                                       5tb solid state disk for
Flash Memory          ??                          ??                   memory cache

Storage Compression   10X Compression             30% compression  10x compression
                                                                   10x compression for
                                                                   achived data.
                                             Teradata 13           Uncompressed
                                             compresses mostly all overhead is zero as
                     10X Compression (Stores data types.           data read from storage
Columnar Compression columnr compression)    Reduced System I/O. in compressed format
Row based
compression          No                                            Oltp compression
Performance (Conn..)
   Functionality               Netezza                 Teradata               Exadata
                                                operates at the data
                                                storage block level to
Block Level            Host & Snippet takes     deliver dramatic
Compression            care of this.            space savings
                                                Shared Nothing
                                                architecture, data is
                                                stored equally on all
                       Shared nothing along     amps and fetched in
                       with AMPP(Asymmetric parallel. (more amps
                       Massively Parallel       implies faster         Mini 48 threads per
Parallelism            Processing) Architecture processing)            node
                                                                       Query used the
                                                                       parallelism based on
                       SPU & FPGA takes care of Table level partition proper partitioning at
Condtional Parallelism this                     support                table level.
Unconditional
Parallelism            NA                                              Doesn't support
                                                Based on Hashing
                       ~ 10 TB/Hr using Bulk    algorithm,data is
                       load or Informatica      stored equally on all 7tb/hr on full rack. Flat
Data loading Rate      Fastreader               amps.                  file loading
Compatibility
   Functionality                Netezza                  Teradata                Exadata
                        All BI tools can be used.                         All BI tools can be used.
                        Can use existing            Compatible with all   Can use existing
                        apps/tools with almost      BI Tools but          apps/tools with almost
                        no modification (out of     Customization         no modification (out of
BI app/tool integration the box)                    required              the box)
                                                                          Required minimal
                                                                          changes for
                                                                          partitioning if porting
                                                                          data from other
                                                                          database vendors. Not
                        Unnecessary/Slightly                              required for oracle
Data restructuring      required.                   Automatic             databases
Affordability
   Functionality             Netezza              Teradata               Exadata

Upfront entry cost    Less than $1M          Less than $1M        $1M for full rack
                      Less than 1 DBA and    Less than 1 DBA and Less than 1 DBA and
Ongoing admin costs   system administrator   system administrator system administrator
Support/Maintenance
cost                  Less                   Medium               132000K for Full rack
Manageability
   Functionality              Netezza             Teradata                  Exadata
Server/DBMS/disk
integration          Fully integrated       Fully Integrated       Fully Integrated
                                            Minimal - Gives
                                            recommendations for
                                            optimal performance if
Performance tuning   Not Required           coded wrongly.         Minimal
                                            Comes with Industry
                     Supports Industry      specific logical data
Data modeling        Standard Data models   models (Integrated)    Unnecessary

Install time         Less than 1 day                               Less than 1 day
Expansion/
Upgradation          Simple                                        Simple

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Netezza vs Teradata vs Exadata

  • 1. NETEZZA VS TERADATA VS EXADATA Asis Mohanty CBIP, CDMP asismohanty@gmail.com
  • 2. Comparison Criteria • Architecture • Scalability • Reliability • Performance • Compatibility • Affordability • Manageability
  • 3. Architecture Functionality Netezza Teradata Exadata Commodity/Proprietary Proprietary Proprietary Proprietary Asymmetric Massively Parallel Processing (best Hybrid MPP-Shared combination of SMP + everything MPP MPP) True MPP architecture.Clustered Recommended for Data Warehouse and Both OLTP and EDW Both OLTP and EDW OLTP/EDW Analytical platform supported supported Bynets - 10 Gigabit Ethernet 10gbps gigabyte Interconnect node to 40gbps infiniband Interconnect Ethernet node switch FPGA-Field Smart scan and data Storage layer Programmable Gate offloaded on storage offloading Arrays server Hardware Flexibilty Fixed Fixed Fixed Linux and solaris- O/S flexibility Linux-preconfigured o/s Linux preconfigured o/s
  • 4. Scalability Functionality Netezza Teradata Exadata Eight nodes in a fully Can scale from qtr to Linear Scalability for Scale upto qtr->half- populated cabinet half and full rack upto 8 storage >full rack scalable to 6 cabinets full racks. Linear Scalability for 96 GB memory in Fixed memory of 96gb memory fixed each node per node Teradata integrated data warehouse high- speed data transfer infrastructure and native Hadoop Open to use Open to third party open to use hadoop for connectivity are hadoop/nosql for storage unstructured data included. unstructured data 96gb can expand to Memory Exapansion Scalable 144gb per node Scalable up to 6 fully populated cabinets and 200 Terabytes of Storage expansion can Storage Exapansion Scalable up to PB customer data space scale upto
  • 5. Reliability Functionality Netezza Teradata Exadata Teradata software High availabilty - redundant design clustered instances. using journals and Redundancy at every Availability High availability fallback mechanism. layer. High redundancey ASM RAID-1 & RAID-0 mirroring as storage Mirroring Full mirroring Available layer Data integrity Fully ACID ACID compliant Fully ACID
  • 6. Performance Functionality Netezza Teradata Exadata Query data offloaded to storage layer and using AMPP (Asymmetric storage index it Massively Parallel retrieved required rows Processing), Distribution avoiding unnecessary Storage scan Key & Row-Id .. i/o Teradata is based on Primary Index and Hashing algorithm is Indexing No Indexing dependent on PI Required for oltp 5tb solid state disk for Flash Memory ?? ?? memory cache Storage Compression 10X Compression 30% compression 10x compression 10x compression for achived data. Teradata 13 Uncompressed compresses mostly all overhead is zero as 10X Compression (Stores data types. data read from storage Columnar Compression columnr compression) Reduced System I/O. in compressed format Row based compression No Oltp compression
  • 7. Performance (Conn..) Functionality Netezza Teradata Exadata operates at the data storage block level to Block Level Host & Snippet takes deliver dramatic Compression care of this. space savings Shared Nothing architecture, data is stored equally on all Shared nothing along amps and fetched in with AMPP(Asymmetric parallel. (more amps Massively Parallel implies faster Mini 48 threads per Parallelism Processing) Architecture processing) node Query used the parallelism based on SPU & FPGA takes care of Table level partition proper partitioning at Condtional Parallelism this support table level. Unconditional Parallelism NA Doesn't support Based on Hashing ~ 10 TB/Hr using Bulk algorithm,data is load or Informatica stored equally on all 7tb/hr on full rack. Flat Data loading Rate Fastreader amps. file loading
  • 8. Compatibility Functionality Netezza Teradata Exadata All BI tools can be used. All BI tools can be used. Can use existing Compatible with all Can use existing apps/tools with almost BI Tools but apps/tools with almost no modification (out of Customization no modification (out of BI app/tool integration the box) required the box) Required minimal changes for partitioning if porting data from other database vendors. Not Unnecessary/Slightly required for oracle Data restructuring required. Automatic databases
  • 9. Affordability Functionality Netezza Teradata Exadata Upfront entry cost Less than $1M Less than $1M $1M for full rack Less than 1 DBA and Less than 1 DBA and Less than 1 DBA and Ongoing admin costs system administrator system administrator system administrator Support/Maintenance cost Less Medium 132000K for Full rack
  • 10. Manageability Functionality Netezza Teradata Exadata Server/DBMS/disk integration Fully integrated Fully Integrated Fully Integrated Minimal - Gives recommendations for optimal performance if Performance tuning Not Required coded wrongly. Minimal Comes with Industry Supports Industry specific logical data Data modeling Standard Data models models (Integrated) Unnecessary Install time Less than 1 day Less than 1 day Expansion/ Upgradation Simple Simple