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DBMS > Graph Engine vs. IRONdb vs. Kinetica vs. searchxml vs. SwayDB

System Properties Comparison Graph Engine vs. IRONdb vs. Kinetica vs. searchxml vs. SwayDB

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application serverAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMSNative XML DBMS
Search engine
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.graphengine.iowww.circonus.com/solutions/time-series-database/www.kinetica.comwww.searchxml.net/­category/­productsswaydb.simer.au
Technical documentationwww.graphengine.io/­docs/­manualdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comwww.searchxml.net/­support/­handouts
DeveloperMicrosoftCirconus LLC.Kineticainformationpartners gmbhSimer Plaha
Initial release20102017201220152018
Current releaseV0.10.20, January 20187.1, August 20211.0
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialcommercialOpen Source infoGNU Affero GPL V3.0
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 language.NET and CC and C++C, C++C++Scala
Server operating systems.NETLinuxLinuxWindows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesno
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.nononoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP APIHTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsJava
Kotlin
Scala
Server-side scripts infoStored proceduresyesyes, in Luauser defined functionsyes infoon the application serverno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodeShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononomultiple readers, single writerAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicesno

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More resources
Graph Engine infoformer name: TrinityIRONdbKineticasearchxmlSwayDB
Recent citations in the news

Trinity
30 October 2010, Microsoft

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

IBM releases Graph, a service that can outperform SQL databases
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18 March 2024, SiliconANGLE News

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18 March 2024, GlobeNewswire

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Transforming spatiotemporal data analysis with GPUs and generative AI
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