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DBMS > Google Cloud Spanner vs. Graphite vs. HyperSQL vs. Sphinx

System Properties Comparison Google Cloud Spanner vs. Graphite vs. HyperSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSphinx  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecloud.google.com/­spannergithub.com/­graphite-project/­graphite-webhsqldb.orgsphinxsearch.com
Technical documentationcloud.google.com/­spanner/­docsgraphite.readthedocs.iohsqldb.org/­web/­hsqlDocsFrame.htmlsphinxsearch.com/­docs
DeveloperGoogleChris DavisSphinx Technologies Inc.
Initial release2017200620012001
Current release2.7.2, June 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++
Server operating systemshostedLinux
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesno
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.nonono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesSQL-like query language (SphinxQL)
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
HTTP API
Sockets
HTTP API infoJDBC via HTTP
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
Google Cloud SpannerGraphiteHyperSQL infoalso known as HSQLDBSphinx
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Recent citations in the news

Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14 October 2023, InfoQ.com

Google makes its Cloud Spanner database service faster and more cost-efficient
11 October 2023, SiliconANGLE News

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11 October 2023, TechCrunch

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