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DBMS > Ehcache vs. FeatureBase vs. OrigoDB vs. Percona Server for MongoDB vs. Sqrrl

System Properties Comparison Ehcache vs. FeatureBase vs. OrigoDB vs. Percona Server for MongoDB vs. Sqrrl

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFeatureBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fully ACID in-memory object graph databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.ehcache.orgwww.featurebase.comorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsqrrl.com
Technical documentationwww.ehcache.org/­documentationdocs.featurebase.comorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperTerracotta Inc, owned by Software AGMolecula and Pilosa Open Source ContributorsRobert Friberg et alPerconaAmazon infooriginally Sqrrl Data, Inc.
Initial release200920172009 infounder the name LiveDB20152012
Current release3.10.0, March 20222022, May 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen SourceOpen Source infoGPL Version 2commercial
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 languageJavaGoC#C++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoSQL queriesnonono
APIs and other access methodsJCachegRPC
JDBC
Kafka Connector
ODBC
.NET Client API
HTTP API
LINQ
proprietary protocol using JSONAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJavaJava
Python
.NetActionscript
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesJavaScriptno
Triggersyes infoCache Event Listenersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServeryesSource-replica replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes, using Linux fsyncyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnoRole based authorizationAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
EhcacheFeatureBaseOrigoDBPercona Server for MongoDBSqrrl
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