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DBMS > BigchainDB vs. Heroic vs. OrientDB vs. Solr vs. Splice Machine

System Properties Comparison BigchainDB vs. Heroic vs. OrientDB vs. Solr vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHeroic  Xexclude from comparisonOrientDB  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMulti-model DBMS (Document, Graph, Key/Value)A widely used distributed, scalable search engine based on Apache LuceneOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Search engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Score44.28
Rank#24  Overall
#3  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­spotify/­heroicorientdb.orgsolr.apache.orgsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestspotify.github.io/­heroicwww.orientdb.com/­docs/­last/­index.htmlsolr.apache.org/­resources.htmlsplicemachine.com/­how-it-works
DeveloperSpotifyOrientDB LTD; CallidusCloud; SAPApache Software FoundationSplice Machine
Initial release20162014201020062014
Current release3.2.29, March 20249.5.0, February 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
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 languagePythonJavaJavaJavaJava
Server operating systemsLinuxAll OS with a Java JDK (>= JDK 6)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyes
Secondary indexesyes infovia Elasticsearchyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query language, no joinsSolr Parallel SQL Interfaceyes
APIs and other access methodsCLI Client
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, JavascriptJava pluginsyes infoJava
TriggersnoHooksyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlyesAccess rights for users and roles; record level security configurableyesAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBHeroicOrientDBSolrSplice Machine
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