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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonMemcached  Xexclude from comparisonRRDtool  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory key-value store, originally intended for cachingIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitebangdb.comwww.databricks.comwww.claris.com/­filemakerwww.memcached.orgoss.oetiker.ch/­rrdtool
Technical documentationdocs.bangdb.comdocs.databricks.comwww.claris.com/­resources/­documentationgithub.com/­memcached/­memcached/­wikioss.oetiker.ch/­rrdtool/­doc
DeveloperSachin Sinha, BangDBDatabricksClaris infoa subsidiary of AppleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTobias Oetiker
Initial release20122013198320031999
Current releaseBangDB 2.0, October 202119.4.1, November 20211.6.27, May 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoBSD licenseOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostediOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
HP-UX
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoNumeric data only
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.noyesyes infoA http query request can return the data in XML formatno infoExporting into and restoring from XML files possible
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesnono
SQL infoSupport of SQLSQL like support with command line toolwith Databricks SQLyes infovia pluginsnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Proprietary protocolin-process shared library
Pipes
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
PHP.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnono
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication, warm standby infosince Version 14none infoRepcached, a Memcached patch, provides this functionallitynone
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 Consistencynone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesnoyes
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)simple rights management via user accounts and connection to external directory servicesyes infousing SASL (Simple Authentication and Security Layer) protocolno
More information provided by the system vendor
BangdbDatabricksFileMakerMemcachedRRDtool
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbDatabricksFileMakerMemcachedRRDtool
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