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DBMS > Google Cloud Spanner vs. JaguarDB vs. Sphinx vs. SQream DB

System Properties Comparison Google Cloud Spanner vs. JaguarDB vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonJaguarDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  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.Performant, highly scalable DBMS for AI and IoT applicationsOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store
Vector DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitecloud.google.com/­spannerwww.jaguardb.comsphinxsearch.comsqream.com
Technical documentationcloud.google.com/­spanner/­docswww.jaguardb.com/­support.htmlsphinxsearch.com/­docsdocs.sqream.com
DeveloperGoogleDataJaguar, Inc.Sphinx Technologies Inc.SQream Technologies
Initial release2017201520012017
Current release3.3 July 20233.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoGPL version 2, commercial licence availablecommercial
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++ infothe server part. Clients available in other languagesC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes, ANSI Standard SQL Types
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 indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-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
JDBC
ODBC
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 isolationnonoACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsno

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More resources
Google Cloud SpannerJaguarDBSphinxSQream DB
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