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DBMS > Bangdb vs. Dgraph vs. EsgynDB vs. MarkLogic vs. Netezza

System Properties Comparison Bangdb vs. Dgraph vs. EsgynDB vs. MarkLogic vs. Netezza

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSDocument 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitebangdb.comdgraph.iowww.esgyn.cnwww.marklogic.comwww.ibm.com/­products/­netezza
Technical documentationdocs.bangdb.comdgraph.io/­docsdocs.marklogic.com
DeveloperSachin Sinha, BangDBDgraph Labs, Inc.EsgynMarkLogic Corp.IBM
Initial release20122016201520012000
Current releaseBangDB 2.0, October 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoC++, JavaC++
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes infoSQL92yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
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
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes infovia XQuery or JavaScriptyes
Triggersyes, Notifications (with Streaming only)nonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication via RaftMulti-source replication between multi datacentersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes 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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenoyes, with Range Indexes
User concepts infoAccess controlyes (enterprise version only)no infoPlanned for future releasesfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept

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More resources
BangdbDgraphEsgynDBMarkLogicNetezza infoAlso called PureData System for Analytics by IBM
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