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DBMS > Google Cloud Spanner vs. HyperSQL vs. Quasardb vs. Warp 10

System Properties Comparison Google Cloud Spanner vs. HyperSQL vs. Quasardb vs. Warp 10

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonWarp 10  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDistributed, high-performance timeseries databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecloud.google.com/­spannerhsqldb.orgquasar.aiwww.warp10.io
Technical documentationcloud.google.com/­spanner/­docshsqldb.org/­web/­hsqlDocsFrame.htmldoc.quasar.ai/­masterwww.warp10.io/­content/­02_Getting_started
DeveloperGooglequasardbSenX
Initial release2017200120092015
Current release2.7.2, June 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesSQL-like query languageno
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 infoJDBC via HTTP
JDBC
ODBC
HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoJava, SQLnoyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud SpannerHyperSQL infoalso known as HSQLDBQuasardbWarp 10
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