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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCitus  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 graphScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLThe 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
Relational DBMSDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
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
Score2.15
Rank#117  Overall
#56  Relational DBMS
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.comwww.citusdata.comwww.databricks.comwww.claris.com/­filemakerwww.memcached.org
Technical documentationdocs.bangdb.comdocs.citusdata.comdocs.databricks.comwww.claris.com/­resources/­documentationgithub.com/­memcached/­memcached/­wiki
DeveloperSachin Sinha, BangDBDatabricksClaris infoa subsidiary of AppleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20122010201319832003
Current releaseBangDB 2.0, October 20218.1, December 201819.4.1, November 20211.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL, commercial license also availablecommercialcommercialOpen 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++CC
Server operating systemsLinuxLinuxhostediOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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 functionalityyesyes infoA http query request can return the data in XML format
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesno
SQL infoSupport of SQLSQL like support with command line toolyes infostandard, with numerous extensionswith Databricks SQLyes infovia pluginsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
R
Scala
PHP.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user 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 algorithmShardingnonenone
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 extensionsyesSource-replica replication, warm standby infosince Version 14none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
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)fine grained access rights according to SQL-standardsimple 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
BangdbCitusDatabricksFileMakerMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbCitusDatabricksFileMakerMemcached
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