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DBMS > CockroachDB vs. Graph Engine vs. Netezza vs. Postgres-XL vs. SAP HANA

System Properties Comparison CockroachDB vs. Graph Engine vs. Netezza vs. Postgres-XL vs. SAP HANA

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.cockroachlabs.comwww.graphengine.iowww.ibm.com/­products/­netezzawww.postgres-xl.orgwww.sap.com/­products/­hana.html
Technical documentationwww.cockroachlabs.com/­docswww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationhelp.sap.com/­hana
DeveloperCockroach LabsMicrosoftIBMSAP
Initial release2015201020002014 infosince 2012, originally named StormDB2010
Current release24.1.0, May 202410 R1, October 20182.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoMIT LicensecommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CC
Server operating systemsLinux
macOS
Windows
.NETLinux infoincluded in applianceLinux
macOS
Appliance or cloud-service
Data schemedynamic schemayesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesyes infodistributed, parallel query executionyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
F#
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functionsSQLScript, R
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioningShardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRole-based access controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyes

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More resources
CockroachDBGraph Engine infoformer name: TrinityNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLSAP HANA
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