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DBMS > Geode vs. Kinetica vs. LevelDB vs. TDSQL for MySQL vs. TerarkDB

System Properties Comparison Geode vs. Kinetica vs. LevelDB vs. TDSQL for MySQL vs. TerarkDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A 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 DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitegeode.apache.orgwww.kinetica.comgithub.com/­google/­leveldbwww.tencentcloud.com/­products/­dcdbgithub.com/­bytedance/­terarkdb
Technical documentationgeode.apache.org/­docsdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tencentcloud.com/­document/­product/­1042bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaGoogleTencentByteDance, originally Terark
Initial release20022012201120132016
Current release1.1, February 20177.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoBSDcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxIllumos
Linux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like DML and DDL statementsnoyesno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyesno
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelnoUsers with fine-grained authorization conceptno

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More resources
GeodeKineticaLevelDBTDSQL for MySQLTerarkDB
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