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DBMS > Drizzle vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Realm vs. SwayDB

System Properties Comparison Drizzle vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Realm vs. SwayDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRealm  Xexclude from comparisonSwayDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitewww.exasol.comwww.postgresql.fastware.comrealm.ioswaydb.simer.au
Technical documentationwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualsrealm.io/­docs
DeveloperDrizzle project, originally started by Brian AkerExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRealm, acquired by MongoDB in May 2019Simer Plaha
Initial release2008200020142018
Current release7.2.4, September 2012Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen SourceOpen 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 languageC++CScala
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyesschema-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.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesnono
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
PHP
Java
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryno
Triggersno infohooks for callbacks inside the server can be used.yesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyesno

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More resources
DrizzleEXASOLFujitsu Enterprise PostgresRealmSwayDB
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