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DBMS > GeoSpock vs. LevelDB vs. Postgres-XL vs. SingleStore

System Properties Comparison GeoSpock vs. LevelDB vs. Postgres-XL vs. SingleStore

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#280  Overall
#129  Relational DBMS
Score2.76
Rank#98  Overall
#18  Key-value stores
Score0.54
Rank#227  Overall
#110  Relational DBMS
Score4.70
Rank#71  Overall
#38  Relational DBMS
Websitegeospock.comgithub.com/­google/­leveldbwww.postgres-xl.orgwww.singlestore.com
Technical documentationdocs.geospock.com/­Content/­Home.htmgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.postgres-xl.org/­documentationdocs.singlestore.com
DeveloperGeoSpockGoogleSingleStore Inc.
Initial release20112014 infosince 2012, originally named StormDB2013
Current release2.0, September 20191.23 , February 202110 R1, October 20187.1.11, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoMozilla public licensecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJava, JavascriptC++CC++
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
macOS
Linux info64 bit version required
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexestemporal, categoricalnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes infodistributed, parallel query executionyes, but no triggers and foreign keys
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
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 tablenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GeoSpockLevelDBPostgres-XLSingleStore infoformer name was MemSQL
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