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DBMS > AnzoGraph DB vs. Hypertable vs. Qdrant vs. Stardog

System Properties Comparison AnzoGraph DB vs. Hypertable vs. Qdrant vs. Stardog

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHypertable  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn open source BigTable implementation based on distributed file systems such as HadoopA high-performance vector database with neural network or semantic-based matchingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Wide column storeVector DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitecambridgesemantics.com/­anzographgithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmqdrant.tech/­documentationdocs.stardog.com
DeveloperCambridge SemanticsHypertable Inc.QdrantStardog-Union
Initial release2018200920212010
Current release2.3, January 20210.9.8.11, March 20167.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageC++RustJava
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoNumbers, 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 possible
Secondary indexesnorestricted infoonly exact value or prefix value scansyes infoKeywords, numberic ranges, geo, full-textyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
C++ 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
Supported programming languagesC++
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor on file system levelCollection-level replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infonot needed in graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoKey-based authenticationAccess rights for users and roles

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More resources
AnzoGraph DBHypertableQdrantStardog
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