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DBMS > Amazon Redshift vs. Bangdb vs. Google Cloud Firestore vs. SpaceTime

System Properties Comparison Amazon Redshift vs. Bangdb vs. Google Cloud Firestore vs. SpaceTime

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsConverged and high performance database for device data, events, time series, document and graphCloud 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.
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteaws.amazon.com/­redshiftbangdb.comfirebase.google.com/­products/­firestorewww.mireo.com/­spacetime
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bangdb.comfirebase.google.com/­docs/­firestore
DeveloperAmazon (based on PostgreSQL)Sachin Sinha, BangDBGoogleMireo
Initial release2012201220172020
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++
Server operating systemshostedLinuxhostedLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesrestrictedyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL like support with command line toolnoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes, Firebase Rules & Cloud Functionsno
Triggersnoyes, Notifications (with Streaming only)yes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes

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More resources
Amazon RedshiftBangdbGoogle Cloud FirestoreSpaceTime
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