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DBMS > BigchainDB vs. Datomic vs. Linter vs. mSQL vs. VoltDB

System Properties Comparison BigchainDB vs. Datomic vs. Linter vs. mSQL vs. VoltDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonLinter  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS for high security requirementsmSQL (Mini SQL) is a simple and lightweight RDBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.bigchaindb.comwww.datomic.comlinter.ruhughestech.com.au/­products/­msqlwww.voltdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comdocs.voltdb.com
DeveloperCognitectrelex.ruHughes TechnologiesVoltDB Inc.
Initial release20162012199019942010
Current release1.0.6735, June 20234.4, October 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freecommercialcommercial infofree licenses can be providedOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, ClojureC and C++CJava, C++
Server operating systemsLinuxAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X infofor development
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoonly a subset of SQL 99
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLnoJava
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardnoUsers and roles with access to stored procedures

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More resources
BigchainDBDatomicLintermSQL infoMini SQLVoltDB
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