DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > c-treeACE vs. GRAKN.AI

System Properties Comparison c-treeACE vs. GRAKN.AI

Please select another system to include it in the comparison.

Our visitors often compare c-treeACE and GRAKN.AI with MongoDB, Microsoft SQL Server and MySQL.

Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonGRAKN.AI  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelKey-value store
Relational DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#202  Overall
#34  Key-value stores
#98  Relational DBMS
Score0.19
Rank#257  Overall
#23  Graph DBMS
#120  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacegrakn.ai
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorydev.grakn.ai/­docs
DeveloperFairCom CorporationGrakn Labs Ltd
Initial release19792016
Current releaseV11.5, November 20171.5.8, August 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoGPL Version 3, commercial licenses available
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 languageANSI C, C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL 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
SQL infoSupport of SQLyes infoANSI SQL queriesno
APIs and other access methodsDirect SQL
RESTful HTTP API
ADO.NET
JDBC
ODBC
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++no
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-master replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infoat REST API level; other APIs in progress
More information provided by the system vendor
c-treeACEGRAKN.AI
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

Related products and services

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

More resources
c-treeACEGRAKN.AI
Conferences and events

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

Recent citations in the news

FairCom and Software AG sign new contract for c-treeACE Database
22 March 2019, PRNewswire

Database leader FairCom releases c-treeACE V11.5
8 November 2017, PR Newswire

Verizon awards database contract to FairCom
26 September 2018, Markets Insider

FairCom to feature #ctreeEDGE IoT Database at LiveWorx19
4 June 2019, PRNewswire

FairCom databases: Smaller footprint, lower licensing costs
14 August 2014, ZDNet

provided by Google News

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

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

Job opportunities

Director of Sales
FairCom, Salt Lake City, UT

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here