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DBMS > Geode vs. Spark SQL vs. SQL.JS vs. Tkrzw

System Properties Comparison Geode vs. Spark SQL vs. SQL.JS vs. Tkrzw

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScriptA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeode.apache.orgspark.apache.org/­sqlsql.js.orgdbmx.net/­tkrzw
Technical documentationgeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationAlon Zakai infoenhancements implemented by othersMikio Hirabayashi
Initial release2002201420122020
Current release1.1, February 20173.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaScriptC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnono
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
JavaScript API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
Python
R
Scala
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing specific database classes
User concepts infoAccess controlAccess rights per client and object definablenonono

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More resources
GeodeSpark SQLSQL.JSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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