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DBMS > Bangdb vs. HBase vs. Kinetica vs. TigerGraph

System Properties Comparison Bangdb vs. HBase vs. Kinetica vs. TigerGraph

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitebangdb.comhbase.apache.orgwww.kinetica.comwww.tigergraph.com
Technical documentationdocs.bangdb.comhbase.apache.org/­book.htmldocs.kinetica.comdocs.tigergraph.com
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by PowersetKinetica
Initial release2012200820122017
Current releaseBangDB 2.0, October 20212.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC, C++C++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
LinuxLinux
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsoptions to bring your own types, AVROyesyes
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, geospatialnoyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsyes
Triggersyes, Notifications (with Streaming only)yesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlyes (enterprise version only)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelRole-based access control

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More resources
BangdbHBaseKineticaTigerGraph
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