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DBMS > AllegroGraph vs. Bangdb vs. Kinetica vs. Warp 10

System Properties Comparison AllegroGraph vs. Bangdb vs. Kinetica vs. Warp 10

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBangdb  Xexclude from comparisonKinetica  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSConverged and high performance database for device data, events, time series, document and graphFully vectorized database across both GPUs and CPUsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial 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
#9  Vector DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteallegrograph.combangdb.comwww.kinetica.comwww.warp10.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bangdb.comdocs.kinetica.comwww.warp10.io/­content/­02_Getting_started
DeveloperFranz Inc.Sachin Sinha, BangDBKineticaSenX
Initial release2004201220122015
Current release8.0, December 2023BangDB 2.0, October 20217.1, August 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSD 3commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL like support with command line toolSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsyes infoWarpScript
Triggersyesyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationselectable replication factor infobased on HBase
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 configurationTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes (enterprise version only)Access rights for users and roles on table levelMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
AllegroGraphBangdbKineticaWarp 10
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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