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DBMS > Drizzle vs. Interbase vs. IRONdb vs. Postgres-XL

System Properties Comparison Drizzle vs. Interbase vs. IRONdb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonIRONdb  Xexclude from comparisonPostgres-XL  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.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Light-weight proven RDBMS infooriginally from BorlandA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/www.postgres-xl.org
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-startedwww.postgres-xl.org/­documentation
DeveloperDrizzle project, originally started by Brian AkerEmbarcaderoCirconus LLC.
Initial release2008198420172014 infosince 2012, originally named StormDB
Current release7.2.4, September 2012InterBase 2020, December 2019V0.10.20, January 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++C
Server operating systemsFreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
LinuxLinux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 infoexport as XML data possiblenoyes infoXML type, but no XML query functionality
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infodistributed, parallel query execution
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyes, in Luauser defined functions
Triggersno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Interbase Change Viewsconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
DrizzleInterbaseIRONdbPostgres-XL
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