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DBMS > Apache IoTDB vs. Bangdb vs. HugeGraph vs. IBM Db2 warehouse vs. Percona Server for MongoDB

System Properties Comparison Apache IoTDB vs. Bangdb vs. HugeGraph vs. IBM Db2 warehouse vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBangdb  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkConverged and high performance database for device data, events, time series, document and graphA fast-speed and highly-scalable Graph DBMSCloud-based data warehousing serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websiteiotdb.apache.orgbangdb.comgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2/­warehousewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bangdb.comhugegraph.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationSachin Sinha, BangDBBaiduIBMPercona
Initial release20182012201820142015
Current release1.1.0, April 2023BangDB 2.0, October 20210.93.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache Version 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
macOS
Unix
hostedLinux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: 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.nononono infoImport/export of XML data possibleno
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolnoyesno
APIs and other access methodsJDBC
Native API
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Python
Groovy
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
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsPL/SQL, SQL PLJavaScript
Triggersyesyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor, Knob for CAP (enterprise version only)yes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Tunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, 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.yesyes, run db with in-memory only modeyesyesyes infovia In-Memory Engine
User concepts infoAccess controlyesyes (enterprise version only)Users, roles and permissionsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache IoTDBBangdbHugeGraphIBM Db2 warehouse infoformerly named IBM dashDBPercona Server for MongoDB
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