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DBMS > GeoSpock vs. Greenplum vs. Hazelcast vs. LevelDB vs. Microsoft Azure SQL Database

System Properties Comparison GeoSpock vs. Greenplum vs. Hazelcast vs. LevelDB vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleAnalytic 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.A widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitegeospock.comgreenplum.orghazelcast.comgithub.com/­google/­leveldbazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.greenplum.orghazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGeoSpockPivotal Software Inc.HazelcastGoogleMicrosoft
Initial release2005200820112010
Current release2.0, September 20197.0.0, September 20235.3.6, November 20231.23, February 2021V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++C++
Server operating systemshostedLinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 4.2yes infothe object must implement a serialization strategynoyes
Secondary indexestemporal, categoricalyesyesnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like query languagenoyes
APIs and other access methodsJDBCJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor ServicesnoTransact SQL
Triggersnoyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapnoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardRole-based access controlnofine grained access rights according to SQL-standard

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More resources
GeoSpockGreenplumHazelcastLevelDBMicrosoft Azure SQL Database infoformerly SQL Azure
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