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DBMS > Drizzle vs. Geode vs. IBM Cloudant vs. Immudb vs. Kinetica

System Properties Comparison Drizzle vs. Geode vs. IBM Cloudant vs. Immudb vs. Kinetica

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  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.
DescriptionMySQL 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 processesDatabase as a Service offering based on Apache CouchDBAn immutable database, which allows to add new versions of existing records, but never change or delete records.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeDocument storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#137  Overall
#26  Key-value stores
Score3.84
Rank#88  Overall
#15  Document stores
Score0.07
Rank#311  Overall
#46  Key-value stores
Score0.74
Rank#202  Overall
#99  Relational DBMS
Websitegeode.apache.orgwww.ibm.com/­cloud/­cloudantgithub.com/­codenotary/­immudb
www.codenotary.com/­technologies/­immudb
www.kinetica.com
Technical documentationgeode.apache.org/­docscloud.ibm.com/­docs/­Cloudantdocs.immudb.iowww.kinetica.com/­docs
DeveloperDrizzle 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.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014CodenotaryKinetica
Initial release20082002201020202012
Current release7.2.4, September 20121.1, February 20171.0, May 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangGoC, C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (OQL)noSQL-like syntaxSQL-like DML and DDL statements
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsView functions (Map-Reduce) in JavaScriptnouser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users can be defined per databaseAccess rights for users and roles on table level
More information provided by the system vendor
DrizzleGeodeIBM CloudantImmudbKinetica
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
DrizzleGeodeIBM CloudantImmudbKinetica
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