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DBMS > EnterpriseDB vs. GRAKN.AI vs. TiDB

System Properties Comparison EnterpriseDB vs. GRAKN.AI vs. TiDB

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Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.TiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelRelational DBMSGraph 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 storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#102  Overall
#49  Relational DBMS
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score1.57
Rank#126  Overall
#62  Relational DBMS
Websitewww.enterprisedb.comgrakn.aipingcap.com
Technical documentationwww.enterprisedb.com/­resources/­product-documentationdev.grakn.ai/­docspingcap.com/­docs
DeveloperEnterpriseDBGrakn Labs LtdPingCAP, Inc.
Initial release200520162016
Current releaseV10, November 20171.6.2, January 20203.0.0, June 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaGo, Rust
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoby using Cassandrahorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication infoby using CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureno infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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 controlfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
EnterpriseDBGRAKN.AITiDB
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Grakn 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 advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Expressive 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 scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Life 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 customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Bank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
InfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more
AGPL 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
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Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EnterpriseDBGRAKN.AITiDB
Conferences and events

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

Recent citations in the news

EnterpriseDB Announces Postgres Platform 12; Extends Leading Open Source Database
10 December 2019, RealWire

EnterpriseDB Expands Worldwide Partner Program
5 September 2019, PRNewswire

EnterpriseDB Acquired by Great Hill Partners
26 June 2019, PRNewswire

EnterpriseDB goes private
26 June 2019, ZDNet

EnterpriseDB Named a Challenger in Gartner Magic Quadrant for Operational Database Management Systems
3 December 2019, RealWire

provided by Google News

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

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10 March 2017, DZone News

L-Glutamine (Gln) Industry Market Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2025
22 January 2020, Melanian News

What Is an Ontology?
15 March 2017, DZone News

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

provided by Google News

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

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

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

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24 June 2019, Bloomberg

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