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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  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.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsA 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 modelDocument store
Relational DBMS
Key-value storeDocument 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.databricks.comwww.ehcache.orgorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsqrrl.com
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperDatabricksTerracotta Inc, owned by Software AGRobert Friberg et alPerconaAmazon infooriginally Sqrrl Data, Inc.
Initial release201320092009 infounder the name LiveDB20152012
Current release3.10.0, March 20223.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++Java
Server operating systemshostedAll OS with a Java VMLinux
Windows
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesUser 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.yesnono infocan be achieved using .NETno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache.NET Client API
HTTP API
LINQ
proprietary protocol using JSONAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
Java.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 proceduresuser defined functions and aggregatesnoyesJavaScriptno
Triggersyes infoCache Event Listenersyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerSource-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 systemImmediate ConsistencyTunable 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 integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes 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)
More information provided by the system vendor
DatabricksEhcacheOrigoDBPercona Server for MongoDBSqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEhcacheOrigoDBPercona Server for MongoDBSqrrl
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