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DBMS > AllegroGraph vs. Datomic vs. OpenSearch vs. Vertica vs. VictoriaMetrics

System Properties Comparison AllegroGraph vs. Datomic vs. OpenSearch vs. Vertica vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonOpenSearch  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVictoriaMetrics  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 durabilityA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneCloud 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.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSSearch engineRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsSpatial DBMSVector DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score16.03
Rank#37  Overall
#4  Search engines
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteallegrograph.comwww.datomic.comgithub.com/­opensearch-project
opensearch.org
www.vertica.comvictoriametrics.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comopensearch.org/­docs/­latestvertica.com/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperFranz Inc.CognitectAmazon Web ServicesOpenText infopreviously Micro Focus and Hewlett PackardVictoriaMetrics
Initial release20042012202120052018
Current release8.0, December 20231.0.7075, December 20232.5.0, January 202312.0.3, January 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoApache Version 2.0commercial infoLimited community edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageJava, ClojureJavaC++Go
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VMLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoRDF schemasyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentYes, 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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyes infoAll search fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyesyes, PostgreSQL PL/pgSQL, with minor differencesno
TriggersyesBy using transaction functionsyes infoby using the 'percolation' featureyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnono
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
AllegroGraphDatomicOpenSearchVertica infoOpenText™ Vertica™VictoriaMetrics
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» 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...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Communication 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 modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more
Cost-based models and subscription-based models are both available. One license is...
» more
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