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DBMS > GigaSpaces vs. IRONdb vs. RavenDB vs. VictoriaMetrics

System Properties Comparison GigaSpaces vs. IRONdb vs. RavenDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIRONdb  Xexclude from comparisonRavenDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gigaspaces.comwww.circonus.com/solutions/time-series-database/ravendb.netvictoriametrics.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.circonus.com/irondb/category/getting-startedravendb.net/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGigaspaces TechnologiesCirconus LLC.Hibernating RhinosVictoriaMetrics
Initial release2000201720102018
Current release15.5, September 2020V0.10.20, January 20185.4, July 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0
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 languageJava, C++, .NetC and C++C#Go
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsno
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (RQL)no
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes, in Luayesno
Triggersyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
configurable replication factor, datacenter awareMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency per node, eventual consistency across nodesDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableno
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.yesnono
User concepts infoAccess controlRole-based access controlnoAuthorization levels configured per client per database

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More resources
GigaSpacesIRONdbRavenDBVictoriaMetrics
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