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DBMS > AllegroGraph vs. Datomic vs. Vertica

System Properties Comparison AllegroGraph vs. Datomic vs. Vertica

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
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
Score2.83
Rank#101  Overall
#49  Relational DBMS
Score21.77
Rank#31  Overall
#18  Relational DBMS
Websiteallegrograph.comwww.datomic.comwww.vertica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperFranz Inc.CognitectVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200420122005
Current release7.0.0, April 20200.9.5951, July 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeyes infoRDF schemasyesyes infoUnstructured data can be stored in specific Flex-Tables
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.no infobulk load of XML files possiblenoyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSPARQL is used as query languagenoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyes
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AllegroGraphDatomicVertica infoVertica Analytics Platform
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» 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

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

More resources
AllegroGraphDatomicVertica infoVertica Analytics Platform
Conferences and events

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

Recent citations in the news

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

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

Franz's AllegroGraph 7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 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

provided by Google News

Brazil's Nubank Acquires US Software Firm Cognitect
30 July 2020, Nearshore Americas

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Latin American banking giant Nubank snaps up US software company
24 July 2020, AltFi

Fintech Powerhouse Nubank Buys U.S. Software Firm Cognitect
23 July 2020, BloombergQuint

These are the top 25 people with the most influence on the 'tech industry'
16 May 2019, Digital Information World

provided by Google News

Alibaba adds leading analytics and banking software to its public cloud
17 September 2020, Which-50

Snowflake to Make it SNOW on NYSE
25 August 2020, Datanami

Solutions Review's 2020 Vendors to Know in Data Management
10 September 2020, Solutions Review

Complicated and competitive: How Vertica navigates today's intricate world of database management
21 April 2020, SiliconANGLE

Micro Focus announces major update to its Vertica data analytics platform
31 March 2020, SiliconANGLE

provided by Google News

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