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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.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
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitebangdb.comwww.databricks.comfauna.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.bangdb.comdocs.databricks.comdocs.fauna.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSachin Sinha, BangDBDatabricksFauna, Inc.Percona
Initial release2012201320142015
Current releaseBangDB 2.0, October 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ScalaC++
Server operating systemsLinuxhostedhostedLinux
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, eventsnoyes
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 SQLnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
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 aggregatesuser defined functionsJavaScript
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 algorithmhorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replicationSource-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 integritynoyesno
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)Identity management, authentication, and access controlAccess rights for users and roles
More information provided by the system vendor
BangdbDatabricksFauna infopreviously named FaunaDBPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbDatabricksFauna infopreviously named FaunaDBPercona Server for MongoDB
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