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DBMS > GeoSpock vs. Memgraph vs. PouchDB vs. RethinkDB vs. Spark SQL

System Properties Comparison GeoSpock vs. Memgraph vs. PouchDB vs. RethinkDB vs. Spark SQL

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMemgraph  Xexclude from comparisonPouchDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  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 scaleAn open source graph database built for real-time streaming and compatible with Neo4jJavaScript DBMS with an API inspired by CouchDBDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.commemgraph.compouchdb.comrethinkdb.comspark.apache.org/­sql
Technical documentationmemgraph.com/­docspouchdb.com/­guidesrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGeoSpockMemgraph LtdApache Software FoundationThe Linux Foundation infosince July 2017Apache Software Foundation
Initial release2017201220092014
Current release2.0, September 20197.1.1, June 20192.4.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen SourceOpen Source infoApache Version 2Open Source infoApache 2.0
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 languageJava, JavascriptC and C++JavaScriptC++Scala
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infostring, binary, float, bool, date, geometryyes
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.nonononono
Secondary indexestemporal, categoricalyes infovia viewsyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)nononoSQL-like DML and DDL statements
APIs and other access methodsJDBCBolt protocol
Cypher query language
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
TriggersnoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infodynamic graph partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding inforange basedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAccess rights for users can be defined per tableUsers, roles and permissionsnoyes infousers and table-level permissionsno
More information provided by the system vendor
GeoSpockMemgraphPouchDBRethinkDBSpark SQL
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
GeoSpockMemgraphPouchDBRethinkDBSpark SQL
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