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DBMS > GreptimeDB vs. Virtuoso vs. Warp 10

System Properties Comparison GreptimeDB vs. Virtuoso vs. Warp 10

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonVirtuoso  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score4.27
Rank#73  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF stores
#9  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegreptime.comvirtuoso.openlinksw.comwww.warp10.io
Technical documentationdocs.greptime.comdocs.openlinksw.com/­virtuosowww.warp10.io/­content/­02_Getting_started
DeveloperGreptime Inc.OpenLink SoftwareSenX
Initial release202219982015
Current release7.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
schema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infoSQL-92, SQL-200x, SQL-3, SQLXno
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresPythonyes infoVirtuoso PLyes infoWarpScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSimple rights management via user accountsFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Mandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
GreptimeDBVirtuosoWarp 10
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Performance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Used for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Broad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Largest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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GreptimeDBVirtuosoWarp 10
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