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DBMS > Bangdb vs. Fujitsu Enterprise Postgres vs. KairosDB vs. Kinetica

System Properties Comparison Bangdb vs. Fujitsu Enterprise Postgres vs. KairosDB vs. Kinetica

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Distributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Spatial DBMS
Time Series 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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitebangdb.comwww.postgresql.fastware.comgithub.com/­kairosdb/­kairosdbwww.kinetica.com
Technical documentationdocs.bangdb.comwww.postgresql.fastware.com/­product-manualskairosdb.github.iodocs.kinetica.com
DeveloperSachin Sinha, BangDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKinetica
Initial release201220132012
Current releaseBangDB 2.0, October 2021Fujitsu Enterprise Postgres 14, January 20221.2.2, November 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CJavaC, C++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Linux
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyesnoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersyes, Notifications (with Streaming only)yesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmpartitioning by range, list and by hashSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes
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 modenoyes infoGPU vRAM or System RAM
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardsimple password-based access controlAccess rights for users and roles on table level
More information provided by the system vendor
BangdbFujitsu Enterprise PostgresKairosDBKinetica
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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BangdbFujitsu Enterprise PostgresKairosDBKinetica
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