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DBMS > AllegroGraph vs. Axibase vs. FatDB vs. LevelDB vs. WakandaDB

System Properties Comparison AllegroGraph vs. Axibase vs. FatDB vs. LevelDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAxibase  Xexclude from comparisonFatDB  Xexclude from comparisonLevelDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSDocument store
Key-value store
Key-value storeObject oriented DBMS
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
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteallegrograph.comaxibase.com/­docs/­atsd/­financegithub.com/­google/­leveldbwakanda.github.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwakanda.github.io/­doc
DeveloperFranz Inc.Axibase CorporationFatCloudGoogleWakanda SAS
Initial release20042013201220112012
Current release8.0, December 2023155851.23, February 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoBSDOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
LinuxWindowsIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesnoyes
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 indexesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageno infoVia inetgration in SQL Servernono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
C#C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesyes infovia applicationsnoyes
Triggersyesyesyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
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 authenticationno infoCan implement custom security layer via applicationsnoyes
More information provided by the system vendor
AllegroGraphAxibaseFatDBLevelDBWakandaDB
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17 July 2024

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