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DBMS > Apache Druid vs. Heroic vs. NCache vs. Quasardb

System Properties Comparison Apache Druid vs. Heroic vs. NCache vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHeroic  Xexclude from comparisonNCache  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source and Enterprise in-memory Key-Value StoreDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value storeTime Series 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
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedruid.apache.orggithub.com/­spotify/­heroicwww.alachisoft.com/­ncachequasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designspotify.github.io/­heroicwww.alachisoft.com/­resources/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsSpotifyAlachisoftquasardb
Initial release2012201420052009
Current release29.0.1, April 20245.3, September 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoEnterprise Edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#, .NET, .NET Core, JavaC++
Server operating systemsLinux
OS X
Unix
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes 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 indexesyesyes infovia Elasticsearchyesyes infowith tags
SQL infoSupport of SQLSQL for queryingnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP API
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
Server-side scripts infoStored proceduresnonono infosupport for stored procedures with SQL-Server CLRno
Triggersnonoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes, with selectable consistency levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes 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 DruidHeroicNCacheQuasardb
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 DruidHeroicNCacheQuasardb
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