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DBMS > BigchainDB vs. FatDB vs. GigaSpaces vs. Splice Machine

System Properties Comparison BigchainDB vs. FatDB vs. GigaSpaces vs. Splice Machine

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFatDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSplice Machine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.bigchaindb.comwww.gigaspaces.comsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlsplicemachine.com/­how-it-works
DeveloperFatCloudGigaspaces TechnologiesSplice Machine
Initial release2016201220002014
Current release15.5, September 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC#Java, C++, .NetJava
Server operating systemsLinuxWindowsLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-99 for query and DML statementsyes
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#.Net
C++
Java
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyesyes infoJava
Triggersyes infovia applicationsyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesno infoCan implement custom security layer via applicationsRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBFatDBGigaSpacesSplice Machine
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