DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. Cachelot.io vs. Google Cloud Firestore vs. SpaceTime vs. Transwarp KunDB

System Properties Comparison Amazon Redshift vs. Cachelot.io vs. Google Cloud Firestore vs. SpaceTime vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCachelot.io  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSpaceTime  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsIn-memory caching systemCloud 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.SpaceTime is a spatio-temporal DBMS with a focus on performance.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSKey-value storeDocument storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websiteaws.amazon.com/­redshiftcachelot.iofirebase.google.com/­products/­firestorewww.mireo.com/­spacetimewww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.aws.amazon.com/­redshiftfirebase.google.com/­docs/­firestore
DeveloperAmazon (based on PostgreSQL)GoogleMireoTranswarp
Initial release2012201520172020
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedFreeBSD
Linux
OS X
hostedLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesrestrictednoyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
ODBC
Memcached protocolAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes, Firebase Rules & Cloud Functionsnoyes
Triggersnonoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingFixed-grid hypercubeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yesyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftCachelot.ioGoogle Cloud FirestoreSpaceTimeTranswarp KunDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Breaking barriers in geospatial: Amazon Redshift, CARTO, and H3 | Amazon Web Services
16 May 2024, AWS Blog

Centrally manage permissions for tables and views accessed from Amazon QuickSight with trusted identity propagation ...
16 May 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services
2 May 2024, AWS Blog

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK ...
11 March 2024, AWS Blog

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here