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DBMS > BigchainDB vs. Dolt vs. FileMaker vs. Heroic vs. Splice Machine

System Properties Comparison BigchainDB vs. Dolt vs. FileMaker vs. Heroic vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDolt  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA MySQL compatible DBMS with Git-like versioning of data and schemaFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.claris.com/­filemakergithub.com/­spotify/­heroicsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.dolthub.comwww.claris.com/­resources/­documentationspotify.github.io/­heroicsplicemachine.com/­how-it-works
DeveloperDoltHub IncClaris infoa subsidiary of AppleSpotifySplice Machine
Initial release20162018198320142014
Current release19.4.1, November 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonGoJavaJava
Server operating systemsLinuxLinux
macOS
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoyesyes infovia pluginsnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
CLI Client
HTTP REST
Filemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
PHPC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesnoyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.noyes
User concepts infoAccess controlyesOnly one user is configurable, and must be specified in the config file at startupsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBDoltFileMakerHeroicSplice Machine
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