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DBMS > Apache Doris vs. Bangdb vs. Citus vs. Immudb

System Properties Comparison Apache Doris vs. Bangdb vs. Citus vs. Immudb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBangdb  Xexclude from comparisonCitus  Xexclude from comparisonImmudb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolConverged 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 immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
bangdb.comwww.citusdata.comgithub.com/­codenotary/­immudb
immudb.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.bangdb.comdocs.citusdata.comdocs.immudb.io
DeveloperApache Software Foundation, originally contributed from BaiduSachin Sinha, BangDBCodenotary
Initial release2017201220102020
Current release1.2.2, February 2023BangDB 2.0, October 20218.1, December 20181.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++CGo
Server operating systemsLinuxLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes
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.nonoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolyes infostandard, with numerous extensionsSQL-like syntax
APIs and other access methodsJDBC
MySQL client
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesJavaC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)fine grained access rights according to SQL-standard

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More resources
Apache DorisBangdbCitusImmudb
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