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DBMS > BigchainDB vs. Ehcache vs. Microsoft SQL Server vs. Percona Server for MongoDB

System Properties Comparison BigchainDB vs. Ehcache vs. Microsoft SQL Server vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted Java cache with tiered storage optionsMicrosofts flagship relational DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.bigchaindb.comwww.ehcache.orgwww.microsoft.com/­en-us/­sql-serverwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.percona.com/­percona-distribution-for-mongodb
DeveloperTerracotta Inc, owned by Software AGMicrosoftPercona
Initial release2016200919892015
Current release3.10.0, March 2022SQL Server 2022, November 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availableOpen Source infoGPL Version 2
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languagePythonJavaC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
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.nonoyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsCLI Client
RESTful HTTP API
JCacheADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSON
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScript
Triggersyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Servertables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta Serveryes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
BigchainDBEhcacheMicrosoft SQL ServerPercona Server for MongoDB
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