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DBMS > GeoSpock vs. Google Cloud Firestore vs. Newts vs. Quasardb

System Properties Comparison GeoSpock vs. Google Cloud Firestore vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  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 scaleCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegeospock.comfirebase.google.com/­products/­firestoreopennms.github.io/­newtsquasar.ai
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperGeoSpockGoogleOpenNMS Groupquasardb
Initial release201720142009
Current release2.0, September 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++
Server operating systemshostedhostedLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexestemporal, categoricalyesnoyes infowith tags
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonoSQL-like query language
APIs and other access methodsJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
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. Security Rules for 3rd party authentication using Firebase Auth.noCryptographically strong user authentication and audit trail

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More resources
GeoSpockGoogle Cloud FirestoreNewtsQuasardb
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