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DBMS > BoltDB vs. Citus vs. Coveo vs. JanusGraph vs. OrigoDB

System Properties Comparison BoltDB vs. Citus vs. Coveo vs. JanusGraph vs. OrigoDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonCoveo  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A fully ACID in-memory object graph database
Primary database modelKey-value storeRelational DBMSSearch engineGraph DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitegithub.com/­boltdb/­boltwww.citusdata.comwww.coveo.comjanusgraph.orgorigodb.com
Technical documentationdocs.citusdata.comdocs.coveo.comdocs.janusgraph.orgorigodb.com/­docs
DeveloperCoveoLinux Foundation; originally developed as Titan by AureliusRobert Friberg et al
Initial release20132010201220172009 infounder the name LiveDB
Current release8.1, December 20180.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or datenoyesyesyesUser defined using .NET types and collections
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.noyes infospecific XML type available, but no XML query functionalitynonono infocan be achieved using .NET
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
HTTP API
LINQ
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyes
Triggersnoyesyesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphsdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardgranular access controls, API key management, content filtersUser authentification and security via Rexster Graph ServerRole based authorization

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More resources
BoltDBCitusCoveoJanusGraph infosuccessor of TitanOrigoDB
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