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DBMS > Informix vs. Kinetica vs. PostGIS vs. WakandaDB vs. YottaDB

System Properties Comparison Informix vs. Kinetica vs. PostGIS vs. WakandaDB vs. YottaDB

Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonKinetica  Xexclude from comparisonPostGIS  Xexclude from comparisonWakandaDB  Xexclude from comparisonYottaDB  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 CPUsSpatial extension of PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA fast and solid embedded Key-value store
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSSpatial DBMSObject oriented DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
Time Series DBMS
Relational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ibm.com/­products/­informixwww.kinetica.compostgis.netwakanda.github.ioyottadb.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.kinetica.compostgis.net/­documentationwakanda.github.io/­docyottadb.com/­resources/­documentation
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.KineticaWakanda SASYottaDB, LLC
Initial release19842012200520122001
Current release14.10.FC5, November 20207.1, August 20213.4.2, February 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoGPL v2.0Open Source infoAGPLv3, extended commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaC, C++CC++, JavaScriptC
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesyesno
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesnoby using the Octo plugin
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 APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScriptC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infobased on PostgreSQLnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoGPU vRAM or System RAMnonoyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users and roles on table levelyes infobased on PostgreSQLyesUsers and groups based on OS-security mechanisms

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More resources
InformixKineticaPostGISWakandaDBYottaDB
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