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DBMS > Bangdb vs. EsgynDB vs. Infobright vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison Bangdb vs. EsgynDB vs. Infobright vs. Microsoft Azure AI Search vs. PostgreSQL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEsgynDB  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSearch-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSVector 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitebangdb.comwww.esgyn.cnignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationdocs.bangdb.comlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperSachin Sinha, BangDBEsgynIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20122015200520151989 info1989: Postgres, 1996: PostgreSQL
Current releaseBangDB 2.0, October 2021V116.3, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++, JavaCC
Server operating systemsLinuxLinuxLinux
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyesnoyes infostandard with numerous extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes, Notifications (with Streaming only)nononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication between multi datacentersSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
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 modenoyesnono
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes infousing Azure authenticationfine grained access rights according to SQL-standard

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BangdbEsgynDBInfobrightMicrosoft Azure AI SearchPostgreSQL
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