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DBMS > Apache Druid vs. BigObject vs. Quasardb vs. SWC-DB

System Properties Comparison Apache Druid vs. BigObject vs. Quasardb vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigObject  Xexclude from comparisonQuasardb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for real-time computations and queriesDistributed, high-performance timeseries databaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Websitedruid.apache.orgbigobject.ioquasar.aigithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bigobject.iodoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsBigObject, Inc.quasardbAlex Kashirin
Initial release2012201520092020
Current release30.0.0, June 20243.14.1, January 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
BSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
fluentd
ODBC
RESTful HTTP API
HTTP APIProprietary protocol
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Server-side scripts infoStored proceduresnoLuanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidBigObjectQuasardbSWC-DB infoSuper Wide Column Database
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