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DBMS > AllegroGraph vs. eXtremeDB vs. LMDB vs. Sphinx

System Properties Comparison AllegroGraph vs. eXtremeDB vs. LMDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonLMDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringA high performant, light-weight, embedded key-value database libraryOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS
Time Series DBMS
Key-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteallegrograph.comwww.mcobject.comwww.symas.com/­symas-embedded-database-lmdbsphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.mcobject.com/­docs/­extremedb.htmwww.lmdb.tech/­docsphinxsearch.com/­docs
DeveloperFranz Inc.McObjectSymasSphinx Technologies Inc.
Initial release2004200120112001
Current release8.0, December 20238.2, 20210.9.32, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesno
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 possibleno infosupport of XML interfaces availableno
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languageyes infowith the option: eXtremeSQLnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnono
Triggersyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning / shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
AllegroGrapheXtremeDBLMDBSphinx
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
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