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DBMS > AllegroGraph vs. Faircom DB vs. LMDB vs. Tkrzw

System Properties Comparison AllegroGraph vs. Faircom DB vs. LMDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonLMDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A high performant, light-weight, embedded key-value database libraryA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Relational DBMS
Key-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteallegrograph.comwww.faircom.com/­products/­faircom-dbwww.symas.com/­symas-embedded-database-lmdbdbmx.net/­tkrzw
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.lmdb.tech/­doc
DeveloperFranz Inc.FairCom CorporationSymasMikio Hirabayashi
Initial release2004197920112020
Current release8.0, December 2023V13, July 20240.9.32, January 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoRestricted, free version availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++CC++
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Unix
Windows
Linux
macOS
Data schemeyes infoRDF schemasschema free, schema optional, schema required, partial schema,schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresno
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 indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes, ANSI SQL with proprietary extensionsnono
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.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++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes info.Net, JavaScript, C/C++nono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).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 configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationFine grained access rights according to SQL-standard with additional protections for filesnono
More information provided by the system vendor
AllegroGraphFaircom DB infoformerly c-treeACELMDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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17 July 2024

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AllegroGraphFaircom DB infoformerly c-treeACELMDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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