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DBMS > Drizzle vs. Fujitsu Enterprise Postgres vs. Memcached vs. SiteWhere

System Properties Comparison Drizzle vs. Fujitsu Enterprise Postgres vs. Memcached vs. SiteWhere

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMemcached  Xexclude from comparisonSiteWhere  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.In-memory key-value store, originally intended for cachingM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.postgresql.fastware.comwww.memcached.orggithub.com/­sitewhere/­sitewhere
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­memcached/­memcached/­wikisitewhere1.sitewhere.io/­index.html
DeveloperDrizzle project, originally started by Brian AkerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSiteWhere
Initial release200820032010
Current release7.2.4, September 2012Fujitsu Enterprise Postgres 14, January 20221.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoBSD licenseOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CCJava
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyes
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.no
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsyesnono
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolHTTP REST
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone infoRepcached, a Memcached patch, provides this functionallityselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept

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More resources
DrizzleFujitsu Enterprise PostgresMemcachedSiteWhere
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