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DBMS > Graph Engine vs. IRONdb vs. Microsoft Azure AI Search vs. SQLite

System Properties Comparison Graph Engine vs. IRONdb vs. Microsoft Azure AI Search vs. SQLite

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSQLite  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 simplicitySearch-as-a-service for web and mobile app developmentWidely used embeddable, in-process RDBMS
Primary database modelGraph DBMS
Key-value store
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.graphengine.iowww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­searchwww.sqlite.org
Technical documentationwww.graphengine.io/­docs/­manualdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-us/­azure/­searchwww.sqlite.org/­docs.html
DeveloperMicrosoftCirconus LLC.MicrosoftDwayne Richard Hipp
Initial release2010201720152000
Current releaseV0.10.20, January 2018V13.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonoyesno
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
Server operating systems.NETLinuxhostedserver-less
Data schemeyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIHTTP APIRESTful HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
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
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesyes, in Luanono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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 storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoyes infousing Azure authenticationno

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More resources
Graph Engine infoformer name: TrinityIRONdbMicrosoft Azure AI SearchSQLite
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