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DBMS > AllegroGraph vs. c-treeACE vs. Titan

System Properties Comparison AllegroGraph vs. c-treeACE vs. Titan

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonc-treeACE  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.64
Rank#210  Overall
#37  Key-value stores
#102  Relational DBMS
Websiteallegrograph.comwww.faircom.com/­-products/­-c-treeacetitan.thinkaurelius.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmllearn.faircomcorp.com/­developers/­documentation_directorygithub.com/­thinkaurelius/­titan/­wiki
DeveloperFranz Inc.FairCom CorporationAurelius, owned by DataStax
Initial release200419792012
Current release7.0.0, April 2020V11.5, November 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoRestricted, free version availableOpen Source infoApache license, version 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 languageANSI C, C++Java
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Unix
Windows
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes, 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.no infobulk load of XML files possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infoANSI SQL queriesno
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes info.Net, JavaScript, C/C++yes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.User authentification and security via Rexster Graph Server
More information provided by the system vendor
AllegroGraphc-treeACETitan
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Speed, reliability and consistency are the reasons businesses choose FairCom™s c-treeACE...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Top Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» 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
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

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.

Related products and services

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More resources
AllegroGraphc-treeACETitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
22 August 2020, insideBIGDATA

provided by Google News

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

FairCom names new senior sales director
27 January 2020, PRNewswire

Database leader FairCom celebrates 40 years of providing fast, reliable solutions
6 November 2019, PRNewswire

FairCom, creators of c-treeACE NoSQL Database, Expands Operations to Silicon Slopes, Utah
1 July 2015, PR Web

Verizon awards database contract to FairCom
26 September 2018, PR Newswire

provided by Google News

Graph Database: What is It and Why It Matters for Businesses?
25 September 2020, Analytics Insight

Impact Of Covid 19 On Graph Database Market 2020 Industry Challenges Business Overview And Forecast Research Study 2026
25 September 2020, The Daily Chronicle

Graph Database Market Trend – The Daily Chronicle
1 September 2020, The Daily Chronicle

Graph Database Market Trends, Top Manufactures, Graph Database Market Demands, Industry Growth Analysis & Forecast 2026
18 September 2020, Express Journal

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

provided by Google News

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