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DBMS > Bangdb vs. HugeGraph vs. IBM Cloudant vs. Spark SQL

System Properties Comparison Bangdb vs. HugeGraph vs. IBM Cloudant vs. Spark SQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebangdb.comgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantspark.apache.org/­sql
Technical documentationdocs.bangdb.comhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSachin Sinha, BangDBBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2012201820102014
Current releaseBangDB 2.0, October 20210.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaErlangScala
Server operating systemsLinuxLinux
macOS
Unix
hostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Groovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptno
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 algorithmyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoOptimistic lockingyes
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 modeyesnono
User concepts infoAccess controlyes (enterprise version only)Users, roles and permissionsAccess rights for users can be defined per databaseno

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More resources
BangdbHugeGraphIBM CloudantSpark SQL
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