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DBMS > Databricks vs. Elasticsearch vs. Kinetica vs. Memcached vs. Quasardb

System Properties Comparison Databricks vs. Elasticsearch vs. Kinetica vs. Memcached vs. Quasardb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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 metricFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.databricks.comwww.elastic.co/­elasticsearchwww.kinetica.comwww.memcached.orgquasar.ai
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.comgithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperDatabricksElasticKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release20132010201220032009
Current release8.6, January 20237.1, August 20211.6.27, May 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++CC++
Server operating systemshostedAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.yesnonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesnoyes infowith tags
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Proprietary protocolHTTP API
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsnono
Triggersyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksElasticsearchKineticaMemcachedQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksElasticsearchKineticaMemcachedQuasardb
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