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DBMS > atoti vs. HarperDB vs. RDFox

System Properties Comparison atoti vs. HarperDB vs. RDFox

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHarperDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.High performance knowledge graph and semantic reasoning engine
Primary database modelObject oriented DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteatoti.iowww.harperdb.iowww.oxfordsemantic.tech
Technical documentationdocs.atoti.iodocs.harperdb.io/­docsdocs.oxfordsemantic.tech
DeveloperActiveViamHarperDBOxford Semantic Technologies
Initial release20172017
Current release3.1, August 20216.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++
Server operating systemsLinux
OS X
Linux
macOS
Windows
Data schemedynamic schemayes infoRDF schemas
Typing infopredefined data types such as float or dateyes infoJSON data typesyes
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
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
SPARQL 1.1
Supported programming languages.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
C
Java
Server-side scripts infoStored proceduresPythonCustom Functions infosince release 3.1
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, using LMDByes
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 rolesRoles, resources, and access types

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More resources
atotiHarperDBRDFox
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