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DBMS > NuoDB vs. Oracle Coherence vs. RDFox vs. Vertica

System Properties Comparison NuoDB vs. Oracle Coherence vs. RDFox vs. Vertica

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Editorial information provided by DB-Engines
NameNuoDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRDFox  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionNuoDB is a webscale distributed database that supports SQL and ACID transactionsOracles in-memory data grid solutionHigh performance knowledge graph and semantic reasoning engineCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSKey-value storeGraph DBMS
RDF store
Relational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score2.02
Rank#131  Overall
#22  Key-value stores
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitewww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­java/­coherencewww.oxfordsemantic.techwww.vertica.com
Technical documentationdoc.nuodb.comdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.oxfordsemantic.techvertica.com/­documentation
DeveloperDassault Systèmes infooriginally NuoDB, Inc.OracleOxford Semantic TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2013200720172005
Current release14.1, August 20236.0, Septermber 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
Linux
Data schemeyesschema-freeyes infoRDF schemasYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
C
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresJava, SQLnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyes infoLive Eventsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesdata is dynamically stored/cached on the nodes where it is read/writtenShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoManaged transparently by NuoDByes, with selectable consistency levelreplication via a shared file systemMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infotunable commit protocolconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableyesyesno
User concepts infoAccess controlStandard SQL roles/ privileges, Administrative Usersauthentification to access the cache via certificates or http basic authenticationRoles, resources, and access typesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
NuoDBOracle CoherenceRDFoxVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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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 both available. One license is...
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More resources
NuoDBOracle CoherenceRDFoxVertica infoOpenText™ Vertica™
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