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DBMS > IRONdb vs. jBASE vs. Kinetica vs. Oracle Coherence vs. Stardog

System Properties Comparison IRONdb vs. jBASE vs. Kinetica vs. Oracle Coherence vs. Stardog

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonStardog  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMSKey-value storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comwww.oracle.com/­java/­coherencewww.stardog.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.stardog.com
DeveloperCirconus LLC.Rocket Software (formerly Zumasys)KineticaOracleStardog-Union
Initial release20171991201220072010
Current releaseV0.10.20, January 20185.77.1, August 202114.1, August 20237.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, C++JavaJava
Server operating systemsLinuxAIX
Linux
Windows
LinuxAll OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsoptionalyesyesyes
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.noyesnonono infoImport/export of XML data possible
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luayesuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesSource-replica replicationyes, with selectable consistency levelMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationAccess rights for users and roles

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More resources
IRONdbjBASEKineticaOracle CoherenceStardog
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