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DBMS > AllegroGraph vs. LevelDB vs. RavenDB vs. RDF4J vs. Vertica

System Properties Comparison AllegroGraph vs. LevelDB vs. RavenDB vs. RDF4J vs. Vertica

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud 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 modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument storeRDF storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score3.01
Rank#101  Overall
#17  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websiteallegrograph.comgithub.com/­google/­leveldbravendb.netrdf4j.orgwww.vertica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentationvertica.com/­documentation
DeveloperFranz Inc.GoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release20042011201020042005
Current release8.0, December 20231.23, February 20215.4, July 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono 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++C#JavaC++
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyes infoRDF schemasschema-freeschema-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 dateyesnonoyesyes
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 indexesyesnoyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (RQL)noFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replicationnoneMulti-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 methodsnonoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AllegroGraphLevelDBRavenDBRDF4J infoformerly known as SesameVertica infoOpenText™ Vertica™
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
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Fast, 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...
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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...
» more
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