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DBMS > Bangdb vs. HarperDB vs. MarkLogic vs. Trafodion

System Properties Comparison Bangdb vs. HarperDB vs. MarkLogic vs. Trafodion

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHarperDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Operational and transactional Enterprise NoSQL databaseTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsSpatial 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
Score0.55
Rank#248  Overall
#38  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitebangdb.comwww.harperdb.iowww.marklogic.comtrafodion.apache.org
Technical documentationdocs.bangdb.comdocs.harperdb.io/­docsdocs.marklogic.comtrafodion.apache.org/­documentation.html
DeveloperSachin Sinha, BangDBHarperDBMarkLogic Corp.Apache Software Foundation, originally developed by HP
Initial release2012201720012014
Current releaseBangDB 2.0, October 20213.1, August 202111.0, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree community edition availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Node.jsC++C++, Java
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
Linux
Data schemeschema-freedynamic schemaschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoJSON data typesyesyes
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 toolSQL-like data manipulation statementsyes infoSQL92yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infovia XQuery or JavaScriptJava Stored Procedures
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infothe nodes on which a table resides can be definedyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes, using LMDByesyes
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 modeyesyes, with Range Indexesno
User concepts infoAccess controlyes (enterprise version only)Access rights for users and rolesRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
BangdbHarperDBMarkLogicTrafodion
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