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DBMS > Drizzle vs. Elasticsearch vs. Ingres vs. Kinetica vs. Solr

System Properties Comparison Drizzle vs. Elasticsearch vs. Ingres vs. Kinetica vs. Solr

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonElasticsearch  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWell established RDBMSFully vectorized database across both GPUs and CPUsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.elastic.co/­elasticsearchwww.actian.com/­databases/­ingreswww.kinetica.comsolr.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.actian.com/­ingresdocs.kinetica.comsolr.apache.org/­resources.html
DeveloperDrizzle project, originally started by Brian AkerElasticActian CorporationKineticaApache Software Foundation
Initial release200820101974 infooriginally developed at University Berkely in early 1970s20122006
Current release7.2.4, September 20128.6, January 202311.2, May 20227.1, August 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC, C++Java
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.nono infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languageyesSQL-like DML and DDL statementsSolr Parallel SQL Interface
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyesuser defined functionsJava plugins
Triggersno infohooks for callbacks inside the server can be used.yes infoby using the 'percolation' featureyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesIngres ReplicatorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.Memcached and Redis integrationnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes

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More resources
DrizzleElasticsearchIngresKineticaSolr
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