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DBMS > Informix vs. Kinetica vs. Oracle NoSQL vs. WakandaDB

System Properties Comparison Informix vs. Kinetica vs. Oracle NoSQL vs. WakandaDB

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonKinetica  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataFully vectorized database across both GPUs and CPUsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSDocument store
Key-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.ibm.com/­products/­informixwww.kinetica.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwakanda.github.io
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.kinetica.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwakanda.github.io/­doc
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.KineticaOracleWakanda SAS
Initial release1984201220112012
Current release14.10.FC5, November 20207.1, August 202123.3, December 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaC, C++JavaC++, JavaScript
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesoptionalyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsnoyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infooff heap cacheno
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users and roles on table levelAccess rights for users and rolesyes

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More resources
InformixKineticaOracle NoSQLWakandaDB
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