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DBMS > Google Cloud Spanner vs. Greenplum vs. H2 vs. H2GIS vs. HBase

System Properties Comparison Google Cloud Spanner vs. Greenplum vs. H2 vs. H2GIS vs. HBase

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGreenplum  Xexclude from comparisonH2  Xexclude from comparisonH2GIS  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial extension of H2Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitecloud.google.com/­spannergreenplum.orgwww.h2database.comwww.h2gis.orghbase.apache.org
Technical documentationcloud.google.com/­spanner/­docsdocs.greenplum.orgwww.h2database.com/­html/­main.htmlwww.h2gis.org/­docs/­homehbase.apache.org/­book.html
DeveloperGooglePivotal Software Inc.Thomas MuellerCNRSApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20172005200520132008
Current release7.0.0, September 20232.2.220, July 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoLGPL 3.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeyesyesyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyesoptions to bring your own types, AVRO
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.noyes infosince Version 4.2nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyesyesno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
JavaJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsyes infobased on H2yes infoCoprocessors in Java
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infobased on H2Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
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-standardfine grained access rights according to SQL-standardyes infobased on H2Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Google Cloud SpannerGreenplumH2H2GISHBase
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