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DBMS > Apache Druid vs. NCache vs. openGauss vs. Sphinx

System Properties Comparison Apache Druid vs. NCache vs. openGauss vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNCache  Xexclude from comparisonopenGauss  Xexclude from comparisonSphinx  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 StoreAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedruid.apache.orgwww.alachisoft.com/­ncachegitee.com/­opengauss
opengauss.org
sphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.alachisoft.com/­resources/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
sphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsAlachisoftHuawei and openGauss communitySphinx Technologies Inc.
Initial release2012200520192001
Current release29.0.1, April 20245.3.3, April 20243.0, March 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoEnterprise Edition availableOpen SourceOpen Source infoGPL version 2, commercial licence available
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++, JavaC++
Server operating systemsLinux
OS X
Unix
Linux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesno
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.ANSI SQL 2011SQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRyesno
Triggersnoyes infoNotificationsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyeshorizontal partitioning (by range, list and hash)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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)Access rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Apache DruidNCacheopenGaussSphinx
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 DruidNCacheopenGaussSphinx
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