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DBMS > Google Cloud Datastore vs. Greenplum vs. H2GIS vs. Kinetica vs. VoltDB

System Properties Comparison Google Cloud Datastore vs. Greenplum vs. H2GIS vs. Kinetica vs. VoltDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreenplum  Xexclude from comparisonH2GIS  Xexclude from comparisonKinetica  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAnalytic 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.Spatial extension of H2Fully vectorized database across both GPUs and CPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeRelational DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitecloud.google.com/­datastoregreenplum.orgwww.h2gis.orgwww.kinetica.comwww.voltdb.com
Technical documentationcloud.google.com/­datastore/­docsdocs.greenplum.orgwww.h2gis.org/­docs/­homedocs.kinetica.comdocs.voltdb.com
DeveloperGooglePivotal Software Inc.CNRSKineticaVoltDB Inc.
Initial release20082005201320122010
Current release7.0.0, September 20237.1, August 202111.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoLGPL 3.0commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java, C++
Server operating systemshostedLinuxLinuxLinux
OS X infofor development
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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 4.2nono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
JavaC++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyesyes infobased on H2user defined functionsJava
TriggersCallbacks using the Google Apps Engineyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes infobased on H2Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAM
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 infobased on H2Access rights for users and roles on table levelUsers and roles with access to stored procedures

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More resources
Google Cloud DatastoreGreenplumH2GISKineticaVoltDB
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