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DBMS > Grakn vs. YugabyteDB

System Properties Comparison Grakn vs. YugabyteDB

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Our visitors often compare Grakn and YugabyteDB with Microsoft Azure Cosmos DB, Elasticsearch and ArangoDB.

Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
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.
Relational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#193  Overall
#17  Graph DBMS
#97  Relational DBMS
Score0.92
Rank#179  Overall
#90  Relational DBMS
Websitegrakn.aiwww.yugabyte.com
Technical documentationdev.grakn.ai/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGrakn LabsYugabyte Inc.
Initial release20162017
Current release2.0, April 20212.4, January 2021
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Data schemeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyes, PostgreSQL compatible
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosql, plpgsql, C
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using CassandraBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyes
More information provided by the system vendor
GraknYugabyteDB
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

Today’s Biomedical Research Requires New Technologies
12 March 2021

A Clinical Decision Support System Built With a Knowledge Graph
16 February 2021

You’re Invited to Grakn Orbit 2021
12 February 2021

How to Succeed with Your First Grakn Project
12 February 2021

Grakn 2.0 Alpha: best practices of Distributed Systems and Computer Science
13 January 2021

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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
GraknYugabyteDB
Conferences and events

Grakn Orbit 2021
Online Event, 21-22 April 2021

Recent citations in the news

Bayer, Capgemini, IBM and Flipkart Lead Roster of Speakers and Panelists at Grakn Orbit 2021
31 March 2021, PR Web

Get Started With GRAKN.AI
10 March 2017, DZone News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

What Is an Ontology?
15 March 2017, DZone News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

provided by Google News

Yugabyte Hardens Security in Latest Platform Release
12 February 2021, Database Trends and Applications

Yugabyte announces $48M investment as cloud-native database makes enterprise push
3 March 2021, TechCrunch

Open-source relational database startup Yugabyte raises $48M
3 March 2021, SiliconANGLE News

Yugabyte Delivers the Most Comprehensive Multi-Cloud Distributed SQL Deployment Options
11 January 2021, Business Wire

Yugabyte Announces Inaugural Distributed SQL Summit Asia
16 December 2020, Business Wire

provided by Google News

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