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DBMS > Datomic vs. Qdrant vs. Stardog vs. VictoriaMetrics

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 modelRelational DBMSVector DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
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
Websitewww.datomic.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.comvictoriametrics.com
Technical documentationdocs.datomic.comqdrant.tech/­documentationdocs.stardog.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCognitectQdrantStardog-UnionVictoriaMetrics
Initial release2012202120102018
Current release1.0.6735, June 20237.3.0, May 2020v1.91, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureRustJavaGo
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesNumbers, 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 indexesyesyes 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 methodsRESTful HTTP APIgRPC
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 languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functions and aggregates, HTTP Server extensions in Javano
TriggersBy using transaction functionsyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersCollection-level replicationMulti-source replication in HA-ClusterSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesno
User concepts infoAccess controlnoKey-based authenticationAccess rights for users and roles

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More resources
DatomicQdrantStardogVictoriaMetrics
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