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DBMS > Apache Druid vs. NCache vs. Quasardb vs. SQream DB

System Properties Comparison Apache Druid vs. NCache vs. Quasardb vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNCache  Xexclude from comparisonQuasardb  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-Source and Enterprise in-memory Key-Value StoreDistributed, high-performance timeseries databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websitedruid.apache.orgwww.alachisoft.com/­ncachequasar.aisqream.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.alachisoft.com/­resources/­docsdoc.quasar.ai/­masterdocs.sqream.com
DeveloperApache Software Foundation and contributorsAlachisoftquasardbSQream Technologies
Initial release2012200520092017
Current release29.0.1, April 20245.3.3, April 20243.14.1, January 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoEnterprise Edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Unix
Linux
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes infointeger and binaryyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL for queryingSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query languageyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP API.Net
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRnouser defined functions in Python
Triggersnoyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesSharding infoconsistent hashinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, with selectable consistency levelSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Cryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidNCacheQuasardbSQream DB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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Apache DruidNCacheQuasardbSQream DB
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