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DBMS > AllegroGraph vs. Apache IoTDB vs. Oracle NoSQL

System Properties Comparison AllegroGraph vs. Apache IoTDB vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Time Series DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#150  Overall
#25  Document stores
#13  Graph DBMS
#7  RDF stores
Score0.16
Rank#298  Overall
#24  Time Series DBMS
Score4.31
Rank#81  Overall
#13  Document stores
#13  Key-value stores
#44  Relational DBMS
Websiteallegrograph.comiotdb.apache.orgwww.oracle.com/­database/­technologies/­related/­nosql.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperFranz Inc.Apache Software FoundationOracle
Initial release200420182011
Current release7.0.0, April 202021.1, April 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
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 languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Solaris SPARC/x86
Data schemeyes infoRDF schemasyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesoptional
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 possiblenono
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCRESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency with synchronizing with the cloudEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)
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.noyesyes infooff heap cache
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users and roles
More information provided by the system vendor
AllegroGraphApache IoTDBOracle NoSQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Gartner Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore)
15 March 2021

Understanding What Matters With Text Analytics and NLP
9 March 2021

KMWorld 100 Companies that Matter Most – Franz Inc.
9 March 2021

Maximizing Your Data Fabric’s ROI via Entity Data Modeling
24 February 2021

Data-Centric Architecture Forum – DCAF 2021
1 February 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphApache IoTDBOracle NoSQL
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