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DBMS > HarperDB vs. Manticore Search vs. Prometheus vs. RDF4J

System Properties Comparison HarperDB vs. Manticore Search vs. Prometheus vs. RDF4J

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonManticore Search  Xexclude from comparisonPrometheus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionUltra-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.Multi-storage database for search, including full-text search.Open-source Time Series DBMS and monitoring systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeSearch engineTime Series DBMSRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.harperdb.iomanticoresearch.comprometheus.iordf4j.org
Technical documentationdocs.harperdb.io/­docsmanual.manticoresearch.comprometheus.io/­docsrdf4j.org/­documentation
DeveloperHarperDBManticore SoftwareSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201720152004
Current release3.1, August 20216.0, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++GoJava
Server operating systemsLinux
OS X
FreeBSD
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemedynamic schemaFixed schemayesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infoJSON data typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanNumeric data onlyyes
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.noCan index from XMLno infoImport of XML data possible
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1user defined functionsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSynchronous replication based on Galera libraryyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesnonono

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More resources
HarperDBManticore SearchPrometheusRDF4J infoformerly known as Sesame
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