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DBMS > Bangdb vs. Citus vs. Immudb vs. Solr

System Properties Comparison Bangdb vs. Citus vs. Immudb vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCitus  Xexclude from comparisonImmudb  Xexclude from comparisonSolr  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 immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMSDocument storeRelational DBMSSpatial 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
Score0.24
Rank#305  Overall
#43  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.citusdata.comgithub.com/­codenotary/­immudb
immudb.io
solr.apache.org
Technical documentationdocs.bangdb.comdocs.citusdata.comdocs.immudb.iosolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBCodenotaryApache Software Foundation
Initial release2012201020202006
Current releaseBangDB 2.0, October 20218.1, December 20181.2.3, April 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CGoJava
Server operating systemsLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infosupports customizable data types and automatic typing
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 functionalitynoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolyes infostandard, with numerous extensionsSQL-like syntaxSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
PostgreSQL wire protocol
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava plugins
Triggersyes, Notifications (with Streaming only)yesnoyes infoUser configurable commands triggered on index changes
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
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 modenonoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyes

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BangdbCitusImmudbSolr
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