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DBMS > Google Cloud Spanner vs. NCache vs. Sphinx vs. StarRocks

System Properties Comparison Google Cloud Spanner vs. NCache vs. Sphinx vs. StarRocks

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databasesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Score1.12
Rank#182  Overall
#82  Relational DBMS
Websitecloud.google.com/­spannerwww.alachisoft.com/­ncachesphinxsearch.comwww.starrocks.io
Technical documentationcloud.google.com/­spanner/­docswww.alachisoft.com/­resources/­docssphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleAlachisoftSphinx Technologies Inc.The Linux Foundation infosince Feb 2023
Initial release2017200520012020
Current release5.3.3, April 20243.5.1, February 20232.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#, .NET, .NET Core, JavaC++C++, Java
Server operating systemshostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternoyes
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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language (SphinxQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocolJDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRnouser defined functions
Triggersnoyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
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 integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationoptimistic locking and pessimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noRole based access control and fine grained access rights
More information provided by the system vendor
Google Cloud SpannerNCacheSphinxStarRocks
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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More resources
Google Cloud SpannerNCacheSphinxStarRocks
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