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DBMS > AllegroGraph vs. Dragonfly vs. EJDB vs. Sphinx vs. Vertica

System Properties Comparison AllegroGraph vs. Dragonfly vs. EJDB vs. Sphinx vs. Vertica

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonSphinx  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open source search engine for searching in data from different sources, e.g. relational databasesCloud 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 storeSearch engineRelational DBMS infoColumn oriented
Secondary database modelsSpatial 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteallegrograph.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbsphinxsearch.comwww.vertica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdsphinxsearch.com/­docsvertica.com/­documentation
DeveloperFranz Inc.DragonflyDB team and community contributorsSoftmotionsSphinx Technologies Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release20042023201220012005
Current release8.0, December 20231.0, March 20233.5.1, February 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSL 1.1Open Source infoGPLv2Open Source infoGPL version 2, commercial licence availablecommercial 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++CC++C++
Server operating systemsLinux
OS X
Windows
Linuxserver-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyes infoRDF schemasscheme-freeschema-freeyesYes, 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 dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idnoyes
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 indexesyesnonoyes infofull-text index on all search fieldsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query language (SphinxQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol infoRESP - REdis Serialization Protocolin-process shared libraryProprietary protocolADO.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
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispLuanonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyespublish/subscribe channels provide some trigger functionalitynonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenoneMulti-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 methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPassword-based authenticationnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AllegroGraphDragonflyEJDBSphinxVertica 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...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» 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 both available. One license is...
» more
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