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DBMS > BigchainDB vs. FoundationDB vs. Splice Machine vs. STSdb vs. Teradata

System Properties Comparison BigchainDB vs. FoundationDB vs. Splice Machine vs. STSdb vs. Teradata

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOrdered key-value store. Core features are complimented by layers.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­apple/­foundationdbsplicemachine.comgithub.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbsplicemachine.com/­how-it-worksdocs.teradata.com
DeveloperFoundationDBSplice MachineSTS Soft SCTeradata
Initial release20162013201420111984
Current release6.2.28, November 20203.1, March 20214.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
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 languagePythonC++JavaC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Windowshosted
Linux
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyes infoprimitive types and user defined types (classes)yes
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 indexesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesnoyes infoSQL 2016 + extensions
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoJavanoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
BigchainDBFoundationDBSplice MachineSTSdbTeradata
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