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DBMS > Bangdb vs. Citus vs. Databend vs. Microsoft Azure AI Search

System Properties Comparison Bangdb vs. Citus vs. Databend vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCitus  Xexclude from comparisonDatabend  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySearch-as-a-service for web and mobile app development
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSDocument storeVector 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
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitebangdb.comwww.citusdata.comgithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.bangdb.comdocs.citusdata.comdocs.databend.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperSachin Sinha, BangDBDatabend LabsMicrosoft
Initial release2012201020212015
Current releaseBangDB 2.0, October 20218.1, December 20181.0.59, April 2023V1
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CRust
Server operating systemsLinuxLinuxhosted
Linux
macOS
hosted
Data schemeschema-freeyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyes infostandard, with numerous extensionsyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyes, Notifications (with Streaming only)yesnono
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 service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication infoother methods possible by using 3rd party extensionsnoneyes infoImplicit feature of the cloud service
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
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 modenono
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesyes infousing Azure authentication

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More resources
BangdbCitusDatabendMicrosoft Azure AI Search
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