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DBMS > BigchainDB vs. Splice Machine vs. SQL.JS vs. SQream DB vs. Titan

System Properties Comparison BigchainDB vs. Splice Machine vs. SQL.JS vs. SQream DB vs. Titan

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQream DB  Xexclude from comparisonTitan  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 assetsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScripta GPU-based, columnar RDBMS for big data analytics workloadsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.bigchaindb.comsplicemachine.comsql.js.orgsqream.comgithub.com/­thinkaurelius/­titan
Technical documentationbigchaindb.readthedocs.io/­en/­latestsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.htmldocs.sqream.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperSplice MachineAlon Zakai infoenhancements implemented by othersSQream TechnologiesAurelius, owned by DataStax
Initial release20162014201220172012
Current release3.1, March 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL 3.0, commercial license availableOpen SourcecommercialOpen Source infoApache license, version 2.0
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 languagePythonJavaJavaScriptC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesyes infoSQL-92 is not fully supportedyesno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
JavaScript API.Net
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScriptC++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoJavanouser defined functions in Pythonyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioningnonehorizontal and vertical partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
nonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesno infoexcept by serializing a db to a fileyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
BigchainDBSplice MachineSQL.JSSQream DBTitan
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