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DBMS > Bangdb vs. IBM Db2 warehouse vs. Percona Server for MongoDB vs. Splice Machine

System Properties Comparison Bangdb vs. IBM Db2 warehouse vs. Percona Server for MongoDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-based data warehousing serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeRelational 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebangdb.comwww.ibm.com/­products/­db2/­warehousewww.percona.com/­mongodb/­software/­percona-server-for-mongodbsplicemachine.com
Technical documentationdocs.bangdb.comdocs.percona.com/­percona-distribution-for-mongodbsplicemachine.com/­how-it-works
DeveloperSachin Sinha, BangDBIBMPerconaSplice Machine
Initial release2012201420152014
Current releaseBangDB 2.0, October 20213.4.10-2.10, November 20173.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoGPL Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java
Server operating systemsLinuxhostedLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nono infoImport/export of XML data possibleno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesnoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLJavaScriptyes infoJava
Triggersyes, Notifications (with Streaming only)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 infovia In-Memory Engineyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
BangdbIBM Db2 warehouse infoformerly named IBM dashDBPercona Server for MongoDBSplice Machine
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