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DBMS > BigchainDB vs. InterSystems IRIS vs. Oracle Berkeley DB vs. Spark SQL

System Properties Comparison BigchainDB vs. InterSystems IRIS vs. Oracle Berkeley DB vs. Spark SQL

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityWidely used in-process key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.bigchaindb.comwww.intersystems.com/­products/­intersystems-iriswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlspark.apache.org/­sql
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperInterSystemsOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation
Initial release2016201819942014
Current release2023.3, June 202318.1.40, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC, Java, C++ (depending on the Berkeley DB edition)Scala
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesno
User concepts infoAccess controlyesyesnono
More information provided by the system vendor
BigchainDBInterSystems IRISOracle Berkeley DBSpark SQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BigchainDBInterSystems IRISOracle Berkeley DBSpark SQL
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