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DBMS > Google Cloud Bigtable vs. Graph Engine vs. Postgres-XL vs. SAP HANA

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. Postgres-XL vs. SAP HANA

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIn-memory, column based data store. Available as appliance or cloud service
Primary database modelWide column storeGraph DBMS
Key-value store
Relational 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
Score3.63
Rank#89  Overall
#8  Wide column stores
Score0.85
Rank#186  Overall
#17  Graph DBMS
#30  Key-value stores
Score0.72
Rank#204  Overall
#99  Relational DBMS
Score56.92
Rank#21  Overall
#13  Relational DBMS
Websitecloud.google.com/­bigtablewww.graphengine.iowww.postgres-xl.orgwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationhelp.sap.com/­hana
DeveloperGoogleMicrosoftSAP
Initial release201520102014 infosince 2012, originally named StormDB2010
Current release10 R1, October 20182.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC
Server operating systemshosted.NETLinux
macOS
Appliance or cloud-service
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functionsSQLScript, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityPostgres-XLSAP HANA
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