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DBMS > GeoSpock vs. Lovefield vs. Percona Server for MongoDB vs. RavenDB vs. TimesTen

System Properties Comparison GeoSpock vs. Lovefield vs. Percona Server for MongoDB vs. RavenDB vs. TimesTen

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTimesTen  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 scaleEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegeospock.comgoogle.github.io/­lovefieldwww.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperGeoSpockGooglePerconaHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2014201520101998
Current release2.0, September 20192.1.12, February 20173.4.10-2.10, November 20175.4, July 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaScriptC++C#
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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.nononono
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternnoSQL-like query language (RQL)yes
APIs and other access methodsJDBCproprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoJavaScriptyesPL/SQL
TriggersnoUsing read-only observersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoAccess rights for users and rolesAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
GeoSpockLovefieldPercona Server for MongoDBRavenDBTimesTen
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