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DBMS > Apache Doris vs. Google Cloud Spanner vs. Memcached vs. Sphinx

System Properties Comparison Apache Doris vs. Google Cloud Spanner vs. Memcached vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA 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.In-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­spannerwww.memcached.orgsphinxsearch.com
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­spanner/­docsgithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.
Initial release2017201720032001
Current release1.2.2, February 20231.6.27, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011noSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary protocolProprietary protocol
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.none infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes 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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
Apache DorisGoogle Cloud SpannerMemcachedSphinx
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