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DBMS > Databend vs. JanusGraph vs. NSDb vs. OushuDB

System Properties Comparison Databend vs. JanusGraph vs. NSDb vs. OushuDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
janusgraph.orgnsdb.iowww.oushu.com/­product/­oushuDB
Technical documentationdocs.databend.comdocs.janusgraph.orgnsdb.io/­Architecturewww.oushu.com/­documentation
DeveloperDatabend LabsLinux Foundation; originally developed as Titan by AureliusOushu
Initial release202120172017
Current release1.0.59, April 20230.6.3, February 20234.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaJava, Scala
Server operating systemshosted
Linux
macOS
Linux
OS X
Unix
Windows
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyesnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
Python
Java
Scala
C
C++
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUser authentification and security via Rexster Graph ServerKerberos, SSL and role based access

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More resources
DatabendJanusGraph infosuccessor of TitanNSDbOushuDB
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