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DBMS > BigchainDB vs. Citus vs. Heroic vs. Solr

System Properties Comparison BigchainDB vs. Citus vs. Heroic vs. Solr

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCitus  Xexclude from comparisonHeroic  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.83
Rank#180  Overall
#27  Document stores
Score1.24
Rank#151  Overall
#74  Relational DBMS
Score0.51
Rank#226  Overall
#14  Time Series DBMS
Score51.62
Rank#20  Overall
#3  Search engines
Websitewww.bigchaindb.comwww.citusdata.comspotify.github.io/­heroic/­#!/­indexlucene.apache.org/­solr
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.citusdata.comspotify.github.io/­heroic/­#!/­docs/­overviewlucene.apache.org/­solr/­resources.html
DeveloperSpotifyApache Software Foundation
Initial release2016201020142006
Current release8.1, December 20188.6.2, September 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCJavaJava
Server operating systemsLinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes 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 infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyesyes infovia Elasticsearchyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoSolr Parallel SQL Interface
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava plugins
Triggersyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes

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More resources
BigchainDBCitusHeroicSolr
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