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DBMS > Drizzle vs. Fujitsu Enterprise Postgres vs. RethinkDB vs. RisingWave vs. SwayDB

System Properties Comparison Drizzle vs. Fujitsu Enterprise Postgres vs. RethinkDB vs. RisingWave vs. SwayDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRethinkDB  Xexclude from comparisonRisingWave  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitewww.postgresql.fastware.comrethinkdb.comwww.risingwave.com/­databaseswaydb.simer.au
Technical documentationwww.postgresql.fastware.com/­product-manualsrethinkdb.com/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperDrizzle project, originally started by Brian AkerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThe Linux Foundation infosince July 2017RisingWave LabsSimer Plaha
Initial release2008200920222018
Current release7.2.4, September 2012Fujitsu Enterprise Postgres 14, January 20222.4.1, August 20201.2, September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open 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++CC++RustScala
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryStandard SQL-types and JSONno
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 extensionsyesnoyesno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functionsUDFs in Python or Javano
Triggersno infohooks for callbacks inside the server can be used.yesClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMVCC basedyes
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.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes infousers and table-level permissionsUsers and Rolesno

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More resources
DrizzleFujitsu Enterprise PostgresRethinkDBRisingWaveSwayDB
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