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DBMS > Bangdb vs. Citus vs. Hazelcast vs. Qdrant

System Properties Comparison Bangdb vs. Citus vs. Hazelcast vs. Qdrant

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCitus  Xexclude from comparisonHazelcast  Xexclude from comparisonQdrant  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 PostgreSQLA widely adopted in-memory data gridA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeVector DBMS
Secondary database modelsSpatial DBMSDocument storeDocument store infoJSON support with IMDG 3.12
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitebangdb.comwww.citusdata.comhazelcast.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bangdb.comdocs.citusdata.comhazelcast.org/­imdg/­docsqdrant.tech/­documentation
DeveloperSachin Sinha, BangDBHazelcastQdrant
Initial release2012201020082021
Current releaseBangDB 2.0, October 20218.1, December 20185.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CJavaRust
Server operating systemsLinuxLinuxAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesNumbers, Strings, Geo, Boolean
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 functionalityyes infothe object must implement a serialization strategyno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL like support with command line toolyes infostandard, with numerous extensionsSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoEvent Listeners, Executor Services
Triggersyes, Notifications (with Streaming only)yesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
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 extensionsyes infoReplicated MapCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commited
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 modenoyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardRole-based access controlKey-based authentication

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More resources
BangdbCitusHazelcastQdrant
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