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DBMS > Apache Druid vs. Microsoft Access vs. Oracle Coherence vs. Percona Server for MongoDB vs. SwayDB

System Properties Comparison Apache Druid vs. Microsoft Access vs. Oracle Coherence vs. Percona Server for MongoDB vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Oracles in-memory data grid solutionA drop-in replacement for MongoDB Community Edition with enterprise-grade features.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedruid.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencewww.percona.com/­mongodb/­software/­percona-server-for-mongodbswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation and contributorsMicrosoftOraclePerconaSimer Plaha
Initial release20121992200720152018
Current release29.0.1, April 20241902 (16.0.11328.20222), March 201914.1, August 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoBundled with Microsoft OfficecommercialOpen Source infoGPL Version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++Scala
Server operating systemsLinux
OS X
Unix
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VMLinux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL for queryingyes infobut not compliant to any SQL standardnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoJavaScriptno
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoLive Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingconfigurablenoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authenticationAccess rights for users and rolesno

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More resources
Apache DruidMicrosoft AccessOracle CoherencePercona Server for MongoDBSwayDB
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