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DBMS > GRAKN.AI vs. Microsoft Azure Cosmos DB vs. TiDB

System Properties Comparison GRAKN.AI vs. Microsoft Azure Cosmos DB vs. TiDB

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Globally distributed, horizontally scalable, multi-model database serviceTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
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.
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score31.43
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.60
Rank#123  Overall
#60  Relational DBMS
Websitegrakn.aiazure.microsoft.com/­services/­cosmos-dbpingcap.com
Technical documentationdev.grakn.ai/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-dbpingcap.com/­docs
DeveloperGrakn Labs LtdMicrosoftPingCAP, Inc.
Initial release201620142016
Current release1.6.1, December 20193.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoApache 2.0
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, Rust
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON 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.nono
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoImplicit feature of the cloud servicehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes infoImplicit feature of the cloud serviceUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
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.nono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights can be defined down to the item levelUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
GRAKN.AIMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTiDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
TiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersBank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsInfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

Lesson Learned from 40 K QPS and 20+ Billion Rows of Data in a Single Scale-out Cluster
11 December 2019

NetEase Games: Why We Chose a Distributed SQL Database Alongside MySQL to Break down Data Silos
4 December 2019

New Structure, New Roles - TiDB Community Upgrade!
2 December 2019

10x Performance Improvement for Expression Evaluation Made Possible by Vectorized Execution and the Community
29 November 2019

Building a Large-scale Distributed Storage System Based on Raft
20 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GRAKN.AIMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTiDB
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

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

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

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

How to use composite indexes and correlated subqueries with Azure Cosmos DB - Microsoft
6 December 2019, Channel 9

NoSQL Databases Software Market Innovative Report Growth Impact over the Forecast Year 2019-2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
14 December 2019, Market Report Gazette

Microsoft Announces Azure Blockchain Tokens and Blockchain Data Manager
9 December 2019, Database Trends and Applications

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

NoSQL Databases Software Market Assessment – 2019 Revenue and Volume Forecast Till 2024
12 December 2019, Hitz Dairies

provided by Google News

PingCAP offers titanium bullet to switch to its HTAP database
22 January 2019, DevClass

TiDB developer PingCAP wants to expand in North America after raising $50M Series C
11 September 2018, TechCrunch

How TiDB combines OLTP and OLAP in a distributed database
17 October 2018, InfoWorld

Percona Unveils Stellar Keynote Schedule for Eighth Annual Percona Live Open Source Database Conference
9 May 2019, GlobeNewswire

China’s Biggest Startups Ditch Oracle and IBM for Home-Made Tech
24 June 2019, Bloomberg

provided by Google News

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