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DBMS > HBase vs. Qdrant vs. Stardog vs. VictoriaMetrics

System Properties Comparison HBase vs. Qdrant vs. Stardog vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA high-performance vector database with neural network or semantic-based matchingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeVector DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitehbase.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.comvictoriametrics.com
Technical documentationhbase.apache.org/­book.htmlqdrant.tech/­documentationdocs.stardog.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetQdrantStardog-UnionVictoriaMetrics
Initial release2008202120102018
Current release2.3.4, January 20217.3.0, May 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen 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 languageJavaRustJavaGo
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free, schema definition possibleschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateoptions to bring your own types, AVRONumbers, Strings, Geo, Booleanyes
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.nonono infoImport/export of XML data possibleno
Secondary indexesnoyes infoKeywords, numberic ranges, geo, full-textyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replicationMulti-source replication in HA-ClusterSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency in HA-ClusterEventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDno
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.yesyesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACKey-based authenticationAccess rights for users and roles

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More resources
HBaseQdrantStardogVictoriaMetrics
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