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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInfobright  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSDocument storeDocument store
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
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitegeospock.comcloud.google.com/­bigtableignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationcloud.google.com/­bigtable/­docstechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperGeoSpockGoogleIgnite Technologies Inc.; formerly InfoBright Inc.Apache Software Foundation
Initial release2015200520142012
Current release2.0, September 20197.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open SourceOpen Source
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, JavascriptCJavaScriptJavaScript
Server operating systemshostedhostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnono
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, categoricalnono infoKnowledge Grid Technology used insteadyes infovia viewsyes infovia views
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesnono
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptJavaScript
Server-side scripts infoStored proceduresnononoView functions in JavaScriptView functions in JavaScript
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
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)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnono

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More resources
GeoSpockGoogle Cloud BigtableInfobrightLokiJSPouchDB
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