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DBMS > Drizzle vs. EDB Postgres vs. Machbase Neo vs. Solr

System Properties Comparison Drizzle vs. EDB Postgres vs. Machbase Neo vs. Solr

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEDB Postgres  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSolr  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.TimeSeries DBMS for AIoT and BigDataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.enterprisedb.commachbase.comsolr.apache.org
Technical documentationwww.enterprisedb.com/­docsmachbase.com/­dbmssolr.apache.org/­resources.html
DeveloperDrizzle project, originally started by Brian AkerEnterpriseDBMachbaseApache Software Foundation
Initial release2008200520132006
Current release7.2.4, September 201214, December 2021V8.0, August 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infoBSD for PostgreSQL-componentscommercial infofree test version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CCJava
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.yes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava plugins
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
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.noyes infovolatile and lookup tableyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardsimple password-based access controlyes

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More resources
DrizzleEDB PostgresMachbase Neo infoFormer name was InfinifluxSolr
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