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DBMS > BaseX vs. JanusGraph vs. ScyllaDB vs. Valentina Server

System Properties Comparison BaseX vs. JanusGraph vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Cassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelNative XML DBMSGraph DBMSWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitebasex.orgjanusgraph.orgwww.scylladb.comwww.valentina-db.net
Technical documentationdocs.basex.orgdocs.janusgraph.orgdocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBaseX GmbHLinux Foundation; originally developed as Titan by AureliusScyllaDBParadigma Software
Initial release2007201720151999
Current release10.7, August 20230.6.3, February 2023ScyllaDB Open Source 5.4.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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.nono
Secondary indexesyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Clojure
Java
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyesyes, Luayes
Triggersyes infovia eventsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tablesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsUser authentification and security via Rexster Graph ServerAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
BaseXJanusGraph infosuccessor of TitanScyllaDBValentina Server
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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BaseXJanusGraph infosuccessor of TitanScyllaDBValentina Server
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