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DBMS > HugeGraph vs. Quasardb vs. TimescaleDB vs. Transwarp Hippo vs. VictoriaMetrics

System Properties Comparison HugeGraph vs. Quasardb vs. TimescaleDB vs. Transwarp Hippo vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMSTime Series DBMSTime Series DBMSVector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
quasar.aiwww.timescale.comwww.transwarp.cn/­en/­subproduct/­hippovictoriametrics.com
Technical documentationhugegraph.apache.org/­docsdoc.quasar.ai/­masterdocs.timescale.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBaiduquasardbTimescaleVictoriaMetrics
Initial release20182009201720232018
Current release0.93.14.1, January 20242.15.0, May 20241.0, May 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0commercialOpen 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 languageJavaC++CC++Go
Server operating systemsLinux
macOS
Unix
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
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 typesVector, Numeric and String
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.nonoyesnono
Secondary indexesyes infoalso supports composite index and range indexyes infowith tagsyesno
SQL infoSupport of SQLnoSQL-like query languageyes infofull PostgreSQL SQL syntaxnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGroovy
Java
Python
.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
C++
Java
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoconsistent hashingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infoSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkwith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenoyesno
User concepts infoAccess controlUsers, roles and permissionsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
HugeGraphQuasardbTimescaleDBTranswarp HippoVictoriaMetrics
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