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DBMS > Amazon Redshift vs. Drizzle vs. Geode vs. Kinetica vs. TerarkDB

System Properties Comparison Amazon Redshift vs. Drizzle vs. Geode vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGPU-accelerated database for real-time analysis of large and streaming datasetsA 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 modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.86
Rank#33  Overall
#19  Relational DBMS
Score1.67
Rank#132  Overall
#24  Key-value stores
Score0.70
Rank#210  Overall
#105  Relational DBMS
Score0.09
Rank#317  Overall
#48  Key-value stores
Websiteaws.amazon.com/­redshiftgeode.apache.orgwww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.aws.amazon.com/­redshiftgeode.apache.org/­docswww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperAmazon (based on PostgreSQL)Drizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaTerark
Initial release20122008200220122016
Current release7.2.4, September 20121.1, February 20176.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial inforestricted open source version available
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 languageCC++JavaC, C++C++
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeyesyesschema-freeyesschema-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.nononono
Secondary indexesrestrictedyesnoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes infowith proprietary extensionsSQL-like query language (OQL)SQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnouser defined functionsuser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodenono
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.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users and roles on table levelno

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More resources
Amazon RedshiftDrizzleGeodeKineticaTerarkDB
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