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DBMS > Geode vs. GeoSpock vs. Lovefield vs. Quasardb vs. TerarkDB

System Properties Comparison Geode vs. GeoSpock vs. Lovefield vs. Quasardb vs. TerarkDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeode.apache.orggeospock.comgoogle.github.io/­lovefieldquasar.aigithub.com/­bytedance/­terarkdb
Technical documentationgeode.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GeoSpockGooglequasardbByteDance, originally Terark
Initial release2002201420092016
Current release1.1, February 20172.0, September 20192.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaScriptC++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryno
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 indexesnotemporal, categoricalyesyes infowith tagsno
SQL infoSupport of SQLSQL-like query language (OQL)ANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternSQL-like query languageno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBCHTTP APIC++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersyes infoCache Event ListenersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByes infoTransient modeyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trailno

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More resources
GeodeGeoSpockLovefieldQuasardbTerarkDB
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