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DBMS > Drizzle vs. Hive vs. OpenEdge vs. Solr vs. Sqrrl

System Properties Comparison Drizzle vs. Hive vs. OpenEdge vs. Solr vs. Sqrrl

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonOpenEdge  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopApplication development environment with integrated database management systemA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitehive.apache.orgwww.progress.com/­openedgesolr.apache.orgsqrrl.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocumentation.progress.com/­output/­ua/­OpenEdge_latestsolr.apache.org/­resources.html
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookProgress Software CorporationApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20082012198420062012
Current release7.2.4, September 20123.1.3, April 2022OpenEdge 12.2, March 20209.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJava
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.yesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoclose to SQL 92Solr Parallel SQL Interfaceno
APIs and other access methodsJDBCJDBC
ODBC
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
Progress proprietary ABL (Advanced Business Language).Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesJava pluginsno
Triggersno infohooks for callbacks inside the server can be used.noyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4ShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesUsers and groupsyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DrizzleHiveOpenEdgeSolrSqrrl
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