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DBMS > GigaSpaces vs. Quasardb vs. TimescaleDB vs. Titan vs. VictoriaMetrics

System Properties Comparison GigaSpaces vs. Quasardb vs. TimescaleDB vs. Titan vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTitan  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTitan is a Graph DBMS optimized for distributed clusters.A 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 DBMSTime Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitewww.gigaspaces.comquasar.aiwww.timescale.comgithub.com/­thinkaurelius/­titanvictoriametrics.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldoc.quasar.ai/­masterdocs.timescale.comgithub.com/­thinkaurelius/­titan/­wikidocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGigaspaces TechnologiesquasardbTimescaleAurelius, owned by DataStaxVictoriaMetrics
Initial release20002009201720122018
Current release15.5, September 20203.14.1, January 20242.15.0, May 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache license, version 2.0Open 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++CJavaGo
Server operating systemsLinux
macOS
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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 metadatanoyesno
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query languageyes infofull PostgreSQL SQL syntaxnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyesno
Triggersyes, event driven architecturenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infoyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integrationnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenono
User concepts infoAccess controlRole-based access controlCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
GigaSpacesQuasardbTimescaleDBTitanVictoriaMetrics
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