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DBMS > Google Cloud Bigtable vs. Sphinx vs. SQL.JS

System Properties Comparison Google Cloud Bigtable vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  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.Open source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelKey-value store
Wide column store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score6.03
Rank#60  Overall
#6  Search engines
Score0.57
Rank#248  Overall
#114  Relational DBMS
Websitecloud.google.com/­bigtablesphinxsearch.comsql.js.org
Technical documentationcloud.google.com/­bigtable/­docssphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperGoogleSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release201520012012
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScript
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolJavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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Google Cloud BigtableSphinxSQL.JS
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