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DBMS > Bangdb vs. Faircom EDGE vs. HBase vs. PostgreSQL vs. Teradata Aster

System Properties Comparison Bangdb vs. Faircom EDGE vs. HBase vs. PostgreSQL vs. Teradata Aster

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHBase  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWide-column store based on Apache Hadoop and on concepts of BigTableWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Wide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitebangdb.comwww.faircom.com/­products/­faircom-edgehbase.apache.orgwww.postgresql.org
Technical documentationdocs.bangdb.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhbase.apache.org/­book.htmlwww.postgresql.org/­docs
DeveloperSachin Sinha, BangDBFairCom CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetPostgreSQL Global Development Group infowww.postgresql.org/­developerTeradata
Initial release2012197920081989 info1989: Postgres, 1996: PostgreSQL2005
Current releaseBangDB 2.0, October 2021V3, October 20202.3.4, January 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoRestricted, free version availableOpen Source infoApache version 2Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ANSI C, C++JavaC
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Unix
Windows infousing Cygwin
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes, ANSI Standard SQL Typesoptions 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.noyesnoyes infospecific XML-type available, but no XML query functionality.yes infoin Aster File Store
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes
SQL infoSupport of SQLSQL like support with command line toolyes infoANSI SQL queriesnoyes infostandard with numerous extensionsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infoCoprocessors in Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.R packages
Triggersyes, Notifications (with Streaming only)yesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmFile partitioning infoCustomizable business rules for partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modeyesyesnono
User concepts infoAccess controlyes (enterprise version only)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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