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DBMS > AllegroGraph vs. HarperDB vs. Hawkular Metrics vs. NSDb vs. openGemini

System Properties Comparison AllegroGraph vs. HarperDB vs. Hawkular Metrics vs. NSDb vs. openGemini

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websiteallegrograph.comwww.harperdb.iowww.hawkular.orgnsdb.iowww.opengemini.org
github.com/­openGemini
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecturedocs.opengemini.org/­guide
DeveloperFranz Inc.HarperDBCommunity supported by Red HatHuawei and openGemini community
Initial release20042017201420172022
Current release8.0, December 20233.1, August 20211.1, July 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open 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 languageNode.jsJavaJava, ScalaGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Linux
macOS
Linux
Windows
Data schemeyes infoRDF schemasdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes: int, bigint, decimal, stringInteger, Float, Boolean, 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.no infobulk load of XML files possiblenononono
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like data manipulation statementsnoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTgRPC
HTTP REST
WebSocket
HTTP REST
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispCustom Functions infosince release 3.1nonono
Triggersyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeswith FederationA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesnoAdministrators and common users accounts
More information provided by the system vendor
AllegroGraphHarperDBHawkular MetricsNSDbopenGemini
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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