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DBMS > Grakn vs. QuestDB vs. Sphinx vs. SQL.JS

System Properties Comparison Grakn vs. QuestDB vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A high performance, low latency Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#199  Overall
#17  Graph DBMS
#97  Relational DBMS
Score0.31
Rank#260  Overall
#20  Time Series DBMS
Score6.35
Rank#59  Overall
#7  Search engines
Score0.70
Rank#201  Overall
#98  Relational DBMS
Websitegrakn.aiquestdb.iosphinxsearch.comsql.js.org
Technical documentationdev.grakn.ai/­docsquestdb.io/­docs/­introductionsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperGrakn LabsQuestDB LimitedSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release2016201420012012
Current release1.8.4, November 20203.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source
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 languageJavaJavaC++JavaScript
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP RESTProprietary protocolJavaScript API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrahorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using Cassandranonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressnono
More information provided by the system vendor
GraknQuestDBSphinxSQL.JS
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Apache 2.0.
» more
News

Discover, Build, Inspire with Grakn - We’ll take care of the swag!
18 August 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 2020

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

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GraknQuestDBSphinxSQL.JS
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