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DBMS > Datomic vs. JanusGraph vs. Linter vs. NSDb vs. Riak TS

System Properties Comparison Datomic vs. JanusGraph vs. Linter vs. NSDb vs. Riak TS

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLinter  Xexclude from comparisonNSDb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDBMS for high security requirementsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.datomic.comjanusgraph.orglinter.runsdb.io
Technical documentationdocs.datomic.comdocs.janusgraph.orgnsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCognitectLinux Foundation; originally developed as Titan by Aureliusrelex.ruOpen Source, formerly Basho Technologies
Initial release20122017199020172015
Current release1.0.6735, June 20230.6.3, February 20233.0.0, September 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC and C++Java, ScalaErlang
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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.nonononono
Secondary indexesyesyesyesall fields are automatically indexedrestricted
SQL infoSupport of SQLnonoyesSQL-like query languageyes, limited
APIs and other access methodsRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
Clojure
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoproprietary syntax with the possibility to convert from PL/SQLnoErlang
TriggersBy using transaction functionsyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardno

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More resources
DatomicJanusGraph infosuccessor of TitanLinterNSDbRiak TS
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