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DBMS > Google Cloud Spanner vs. Manticore Search vs. Memcached vs. Quasardb

System Properties Comparison Google Cloud Spanner vs. Manticore Search vs. Memcached vs. Quasardb

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonManticore Search  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  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.Multi-storage database for search, including full-text search.In-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelRelational DBMSSearch engineKey-value storeTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitecloud.google.com/­spannermanticoresearch.comwww.memcached.orgquasar.ai
Technical documentationcloud.google.com/­spanner/­docsmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperGoogleManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release2017201720032009
Current release6.0, February 20231.6.27, May 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyesFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes 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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsnoyes infowith tags
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languagenoSQL-like query language
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
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocolHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Synchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 isolationyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.noyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail

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Google Cloud SpannerManticore SearchMemcachedQuasardb
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