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DBMS > Bangdb vs. Databricks vs. Immudb vs. Percona Server for MongoDB

System Properties Comparison Bangdb vs. Databricks vs. Immudb vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonImmudb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Key-value storeDocument store
Secondary database modelsSpatial DBMSRelational 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitebangdb.comwww.databricks.comgithub.com/­codenotary/­immudb
immudb.io
www.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.bangdb.comdocs.databricks.comdocs.immudb.iodocs.percona.com/­percona-distribution-for-mongodb
DeveloperSachin Sinha, BangDBDatabricksCodenotaryPercona
Initial release2012201320202015
Current releaseBangDB 2.0, October 20211.2.3, April 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC++
Server operating systemsLinuxhostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyes: 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.noyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolwith Databricks SQLSQL-like syntaxno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoJavaScript
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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 infovia In-Memory Engine
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles
More information provided by the system vendor
BangdbDatabricksImmudbPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbDatabricksImmudbPercona Server for MongoDB
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