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DBMS > Google Cloud Bigtable vs. Manticore Search vs. Memcached vs. Rockset

System Properties Comparison Google Cloud Bigtable vs. Manticore Search vs. Memcached vs. Rockset

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonManticore Search  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multi-storage database for search, including full-text search.In-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value store
Wide column store
Search engineKey-value storeDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.23
Rank#301  Overall
#21  Search engines
Score16.84
Rank#32  Overall
#4  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websitecloud.google.com/­bigtablemanticoresearch.comwww.memcached.orgrockset.com
Technical documentationcloud.google.com/­bigtable/­docsmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wikidocs.rockset.com
DeveloperGoogleManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRockset
Initial release2015201720032019
Current release6.0, February 20231.6.29, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
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
hosted
Data schemeschema-freeFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannodynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyes infofull-text index on all search fieldsnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoRead-only SQL queries, including JOINs
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocolHTTP REST
Supported programming languagesC#
C++
Go
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
Go
Java
JavaScript (Node.js)
Python
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 supportednoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSynchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyes infoisolated transactions for atomic changes and binary logging for safe writesnono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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) protocolAccess rights for users and organizations can be defined via Rockset console

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More resources
Google Cloud BigtableManticore SearchMemcachedRockset
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