DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Druid vs. Cachelot.io vs. SWC-DB vs. Transwarp StellarDB vs. Yanza

System Properties Comparison Apache Druid vs. Cachelot.io vs. SWC-DB vs. Transwarp StellarDB vs. Yanza

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCachelot.io  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory caching systemA high performance, scalable Wide Column DBMSA distributed graph DBMS built for enterprise-level graph applicationsTime Series DBMS for IoT Applications
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeWide column storeGraph DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitedruid.apache.orgcachelot.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­product/­stellardbyanza.com
Technical documentationdruid.apache.org/­docs/­latest/­design
DeveloperApache Software Foundation and contributorsAlex KashirinTranswarpYanza
Initial release2012201520202015
Current release29.0.1, April 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoSimplified BSD LicenseOpen Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
LinuxWindows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.nononono
Secondary indexesyesnono
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Memcached protocolProprietary protocol
Thrift
OpenCypherHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresnononono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache DruidCachelot.ioSWC-DB infoSuper Wide Column DatabaseTranswarp StellarDBYanza
Recent citations in the news

Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers' Choice Awards
26 January 2024, Datanami

'Lucifer' Botnet Turns Up the Heat on Apache Hadoop Servers
21 February 2024, Dark Reading

New DDoS malware Attacking Apache Hadoop, & Druid Servers
26 February 2024, GBHackers

Imply Announces Automatic Schema Discovery for Apache Druid, Reinforcing Druid's Leadership for Real-Time ...
6 June 2023, Business Wire

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

provided by Google News

2022 All O-Zone Football Team
17 December 2022, Ozarks Sports Zone

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Present your product here