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DBMS > Bangdb vs. FileMaker vs. HBase vs. Solr

System Properties Comparison Bangdb vs. FileMaker vs. HBase vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFileMaker  Xexclude from comparisonHBase  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFileMaker is a cross-platform RDBMS that includes a GUI frontend.Wide-column store based on Apache Hadoop and on concepts of BigTableA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSWide column storeSearch engine
Secondary database modelsSpatial DBMSSpatial 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.claris.com/­filemakerhbase.apache.orgsolr.apache.org
Technical documentationdocs.bangdb.comwww.claris.com/­resources/­documentationhbase.apache.org/­book.htmlsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBClaris infoa subsidiary of AppleApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release2012198320082006
Current releaseBangDB 2.0, October 202119.4.1, November 20212.3.4, January 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-free, schema definition possibleyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesoptions to bring your own types, AVROyes infosupports customizable data types and automatic typing
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 infoA http query request can return the data in XML formatnoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolyes infovia pluginsnoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
PHPC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in JavaJava plugins
Triggersyes, Notifications (with Streaming only)yesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)optimistic locking
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 modeyesyes
User concepts infoAccess controlyes (enterprise version only)simple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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BangdbFileMakerHBaseSolr
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