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DBMS > BigObject vs. Derby vs. Linter vs. Realm vs. Solr

System Properties Comparison BigObject vs. Derby vs. Linter vs. Realm vs. Solr

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonLinter  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.RDBMS for high security requirementsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitebigobject.iodb.apache.org/­derbylinter.rurealm.iosolr.apache.org
Technical documentationdocs.bigobject.iodb.apache.org/­derby/­manuals/­index.htmlrealm.io/­docssolr.apache.org/­resources.html
DeveloperBigObject, Inc.Apache Software Foundationrelex.ruRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release20151997199020142006
Current release10.17.1.0, November 20239.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2commercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.noyesnonoyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnoSolr Parallel SQL Interface
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuaJava Stored Proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLno inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersnoyesyesyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesyes

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More resources
BigObjectDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBLinterRealmSolr
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