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DBMS > Bangdb vs. Datomic vs. MarkLogic vs. RethinkDB

System Properties Comparison Bangdb vs. Datomic vs. MarkLogic vs. RethinkDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonMarkLogic  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOperational and transactional Enterprise NoSQL databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.74
Rank#105  Overall
#19  Document stores
Websitebangdb.comwww.datomic.comwww.marklogic.comrethinkdb.com
Technical documentationdocs.bangdb.comdocs.datomic.comdocs.marklogic.comrethinkdb.com/­docs
DeveloperSachin Sinha, BangDBCognitectMarkLogic Corp.The Linux Foundation infosince July 2017
Initial release2012201220012009
Current releaseBangDB 2.0, October 20211.0.6735, June 202311.0, December 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freecommercial inforestricted free version is availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ClojureC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes infostring, binary, float, bool, date, geometry
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyes infoSQL92no
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infovia XQuery or JavaScript
Triggersyes, Notifications (with Streaming only)By using transaction functionsyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoMVCC based
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes inforecommended only for testing and developmentyes, with Range Indexesno
User concepts infoAccess controlyes (enterprise version only)noRole-based access control at the document and subdocument levelsyes infousers and table-level permissions

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BangdbDatomicMarkLogicRethinkDB
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