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DBMS > Amazon CloudSearch vs. Geode vs. Greenplum vs. Kinetica vs. TerarkDB

System Properties Comparison Amazon CloudSearch vs. Geode vs. Greenplum vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully vectorized database across both GPUs and CPUsA 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 modelSearch engineKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.86
Rank#134  Overall
#24  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­cloudsearchgeode.apache.orggreenplum.orgwww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­cloudsearchgeode.apache.org/­docsdocs.greenplum.orgdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.KineticaByteDance, originally Terark
Initial release20122002200520122016
Current release1.1, February 20177.0.0, September 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infosince Version 4.2nono
Secondary indexesyes infoall search fields are automatically indexednoyesyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)yesSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyesuser defined functionsno
Triggersnoyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
Amazon CloudSearchGeodeGreenplumKineticaTerarkDB
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