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DBMS > AllegroGraph vs. BoltDB vs. HarperDB vs. NSDb vs. Sadas Engine

System Properties Comparison AllegroGraph vs. BoltDB vs. HarperDB vs. NSDb vs. Sadas Engine

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBoltDB  Xexclude from comparisonHarperDB  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn embedded key-value store for Go.Ultra-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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument storeTime Series DBMSRelational 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
#7  Vector DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteallegrograph.comgithub.com/­boltdb/­boltwww.harperdb.ionsdb.iowww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.harperdb.io/­docsnsdb.io/­Architecturewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperFranz Inc.HarperDBSADAS s.r.l.
Initial release20042013201720172006
Current release8.0, December 20233.1, August 20218.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMIT Licensecommercial infofree community edition availableOpen Source infoApache Version 2.0commercial infofree trial version available
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 languageGoNode.jsJava, ScalaC++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
macOS
AIX
Linux
Windows
Data schemeyes infoRDF schemasschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyes: int, bigint, decimal, stringyes
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 indexesyesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like data manipulation statementsSQL-like query languageyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go.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
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneA table resides as a whole on one (or more) nodes in a clusterShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infothe nodes on which a table resides can be definednone
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 configurationnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDBUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphBoltDBHarperDBNSDbSadas Engine
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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