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DBMS > FeatureBase vs. JanusGraph vs. Netezza vs. SWC-DB

System Properties Comparison FeatureBase vs. JanusGraph vs. Netezza vs. SWC-DB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Data warehouse and analytics appliance part of IBM PureSystemsA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSGraph DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.featurebase.comjanusgraph.orgwww.ibm.com/­products/­netezzagithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.featurebase.comdocs.janusgraph.org
DeveloperMolecula and Pilosa Open Source ContributorsLinux Foundation; originally developed as Titan by AureliusIBMAlex Kashirin
Initial release2017201720002020
Current release2022, May 20220.6.3, February 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsLinux
macOS
Linux
OS X
Unix
Windows
Linux infoincluded in applianceLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL queriesnoyesSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
OLE DB
Proprietary protocol
Thrift
Supported programming languagesJava
Python
Clojure
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Server-side scripts infoStored proceduresyesyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes 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.yesno
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept

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More resources
FeatureBaseJanusGraph infosuccessor of TitanNetezza infoAlso called PureData System for Analytics by IBMSWC-DB infoSuper Wide Column Database
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