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DBMS > Bangdb vs. CouchDB vs. Databricks vs. FileMaker vs. Memcached

System Properties Comparison Bangdb vs. CouchDB vs. Databricks vs. FileMaker vs. Memcached

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The 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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory key-value store, originally intended for caching
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extension
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
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitebangdb.comcouchdb.apache.orgwww.databricks.comwww.claris.com/­filemakerwww.memcached.org
Technical documentationdocs.bangdb.comdocs.couchdb.org/­en/­stabledocs.databricks.comwww.claris.com/­resources/­documentationgithub.com/­memcached/­memcached/­wiki
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksClaris infoa subsidiary of AppleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20122005201319832003
Current releaseBangDB 2.0, October 20213.3.3, December 202319.4.1, November 20211.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostediOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesno
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.nonoyesyes infoA http query request can return the data in XML format
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infovia viewsyesyesno
SQL infoSupport of SQLSQL like support with command line toolnowith Databricks SQLyes infovia pluginsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
PHP.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functions and aggregatesyesno
Triggersyes, Notifications (with Streaming only)yesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoimproved architecture with release 2.0nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
yesSource-replica replication, warm standby infosince Version 14none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesno
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFileMakerMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFileMakerMemcached
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