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DBMS > Grakn vs. Microsoft Azure Table Storage vs. Weaviate

System Properties Comparison Grakn vs. Microsoft Azure Table Storage vs. Weaviate

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  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 Wide Column Store for rapid development using massive semi-structured datasetsAn open-source GraphQL-based Smart Graph with the core features: semantic search, automatic classification, and knowledge representation
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.
Wide column storeGraph DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score4.85
Rank#63  Overall
#5  Wide column stores
Score0.07
Rank#301  Overall
#28  Graph DBMS
Websitegrakn.aiazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­semi-technologies/­weaviate
www.semi.technology/­products/­weaviate.html
Technical documentationdev.grakn.ai/­docswww.semi.technology/­documentation/­weaviate/­current
DeveloperGrakn LabsMicrosoftSeMI Technologies B.V.
Initial release201620122017
Current release1.6.2, January 20200.22, January 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights based on private key authentication or shared access signaturesOpenID Connect Discovery
More information provided by the system vendor
GraknMicrosoft Azure Table StorageWeaviate
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
News

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

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

Drug Discovery Knowledge Graphs
7 June 2019

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraknMicrosoft Azure Table StorageWeaviate
Recent citations in the news

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15 March 2017, DZone News

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14 January 2019, InfoWorld

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11 November 2019, TechTarget

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1 October 2019, DevClass

Azure Improves Table Storage Paging
14 October 2014, Visual Studio Magazine

provided by Google News

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