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DBMS > Google Cloud Spanner vs. HarperDB vs. Quasardb vs. SiteWhere

System Properties Comparison Google Cloud Spanner vs. HarperDB vs. Quasardb vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHarperDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument storeTime 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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitecloud.google.com/­spannerwww.harperdb.ioquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­spanner/­docsdocs.harperdb.io/­docsdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperGoogleHarperDBquasardbSiteWhere
Initial release2017201720092010
Current release3.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
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 languageNode.jsC++Java
Server operating systemshostedLinux
OS X
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes 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 2011SQL-like data manipulation statementsSQL-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
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infothe nodes on which a table resides can be definedSource-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
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 isolationAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
Google Cloud SpannerHarperDBQuasardbSiteWhere
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