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DBMS > BigchainDB vs. OpenEdge vs. Realm vs. SiteWhere vs. Solr

System Properties Comparison BigchainDB vs. OpenEdge vs. Realm vs. SiteWhere vs. Solr

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsApplication development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataM2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeRelational DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.bigchaindb.comwww.progress.com/­openedgerealm.iogithub.com/­sitewhere/­sitewheresolr.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docssitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperProgress Software CorporationRealm, acquired by MongoDB in May 2019SiteWhereApache Software Foundation
Initial release20161984201420102006
Current releaseOpenEdge 12.2, March 20209.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJava
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyespredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes 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 indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infoclose to SQL 92nonoSolr Parallel SQL Interface
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Progress proprietary ABL (Advanced Business Language).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 proceduresyesno inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersyesyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4noneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneselectable replication factor infobased on HBaseyes
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 systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmnoyes
User concepts infoAccess controlyesUsers and groupsyesUsers with fine-grained authorization conceptyes

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BigchainDBOpenEdgeRealmSiteWhereSolr
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