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DBMS > GeoSpock vs. Google Cloud Bigtable vs. LokiJS vs. PouchDB vs. SiteWhere

System Properties Comparison GeoSpock vs. Google Cloud Bigtable vs. LokiJS vs. PouchDB vs. SiteWhere

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeDocument storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegeospock.comcloud.google.com/­bigtablegithub.com/­techfort/­LokiJSpouchdb.comgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigtable/­docstechfort.github.io/­LokiJSpouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperGeoSpockGoogleApache Software FoundationSiteWhere
Initial release2015201420122010
Current release2.0, September 20197.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptJavaScriptJava
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesnononoyes
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.nonononono
Secondary indexestemporal, categoricalnoyes infovia viewsyes infovia viewsno
SQL infoSupport of SQLANSI SQL for query only (using Presto)nononono
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScriptJavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScriptView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsno infoatomic operations within a single collection possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoUsers with fine-grained authorization concept

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More resources
GeoSpockGoogle Cloud BigtableLokiJSPouchDBSiteWhere
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