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DBMS > Google Cloud Spanner vs. PouchDB vs. Riak KV vs. TigerGraph

System Properties Comparison Google Cloud Spanner vs. PouchDB vs. Riak KV vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonPouchDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTigerGraph  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.JavaScript DBMS with an API inspired by CouchDBDistributed, fault tolerant key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitecloud.google.com/­spannerpouchdb.comwww.tigergraph.com
Technical documentationcloud.google.com/­spanner/­docspouchdb.com/­guideswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.tigergraph.com
DeveloperGoogleApache Software FoundationOpenSource, formerly Basho Technologies
Initial release2017201220092017
Current release7.1.1, June 20193.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptErlangC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesyes infovia viewsrestricted
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoSQL-like query language (GSQL)
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 REST infoonly for PouchDB Server
JavaScript API
HTTP API
Native Erlang Interface
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptErlangyes
Triggersnoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono infolinks between data sets can be storedyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes, using Riak SecurityRole-based access control

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More resources
Google Cloud SpannerPouchDBRiak KVTigerGraph
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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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 turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
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Google makes its Cloud Spanner database service faster and more cost-efficient
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22 September 2023, InformationWeek

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13 January 2015, Data Center Knowledge

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
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20 June 2023, SiliconANGLE News

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