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DBMS > Databricks vs. Quasardb vs. Solr vs. Transwarp KunDB

System Properties Comparison Databricks vs. Quasardb vs. Solr vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTranswarp KunDB  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.Distributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument store
Relational DBMS
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitewww.databricks.comquasar.aisolr.apache.orgwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.databricks.comdoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperDatabricksquasardbApache Software FoundationTranswarp
Initial release201320092006
Current release3.14.1, January 20249.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyes 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.yesnoyes
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava pluginsyes
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesyes
More information provided by the system vendor
DatabricksQuasardbSolrTranswarp KunDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksQuasardbSolrTranswarp KunDB
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