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DBMS > BigchainDB vs. Solr vs. Splice Machine vs. Titan vs. UniData,UniVerse

System Properties Comparison BigchainDB vs. Solr vs. Splice Machine vs. Titan vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparisonTitan  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA 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 SparkTitan is a Graph DBMS optimized for distributed clusters.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeSearch engineRelational DBMSGraph DBMSMultivalue DBMS
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
Score42.91
Rank#24  Overall
#3  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.bigchaindb.comsolr.apache.orgsplicemachine.comgithub.com/­thinkaurelius/­titanwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationbigchaindb.readthedocs.io/­en/­latestsolr.apache.org/­resources.htmlsplicemachine.com/­how-it-worksgithub.com/­thinkaurelius/­titan/­wikidocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software FoundationSplice MachineAurelius, owned by DataStaxRocket Software
Initial release20162006201420121985
Current release9.6.0, April 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache license, version 2.0commercial
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 languagePythonJavaJavaJavaC
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesschema-free
Typing infopredefined data types such as float or datenoyes infosupports customizable data types and automatic typingyesyesoptional
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
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceyesnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.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
Clojure
Java
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresJava pluginsyes infoJavayesyes
Triggersyes infoUser configurable commands triggered on index changesyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integrationyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyesAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights according to SQL-standard and operating system based

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More resources
BigchainDBSolrSplice MachineTitanUniData,UniVerse
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