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DBMS > GigaSpaces vs. Ignite vs. searchxml vs. Splice Machine vs. VictoriaMetrics

System Properties Comparison GigaSpaces vs. Ignite vs. searchxml vs. Splice Machine vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIgnite  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Native XML DBMS
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gigaspaces.comignite.apache.orgwww.searchxml.net/­category/­productssplicemachine.comvictoriametrics.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlapacheignite.readme.io/­docswww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-worksdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGigaspaces TechnologiesApache Software Foundationinformationpartners gmbhSplice MachineVictoriaMetrics
Initial release20002015201520142018
Current release15.5, September 2020Apache Ignite 2.61.03.1, March 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
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 languageJava, C++, .NetC++, Java, .NetC++JavaGo
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 metadatayesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infoon the application serveryes infoJavano
Triggersyes, event driven architectureyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)yes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)noYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesnoyesno
User concepts infoAccess controlRole-based access controlSecurity Hooks for custom implementationsDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
GigaSpacesIgnitesearchxmlSplice MachineVictoriaMetrics
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