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DBMS > Amazon Aurora vs. BoltDB vs. Google Cloud Firestore vs. HBase vs. Heroic

System Properties Comparison Amazon Aurora vs. BoltDB vs. Google Cloud Firestore vs. HBase vs. Heroic

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embedded key-value store for Go.Cloud 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.Wide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeDocument storeWide column storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­boltdb/­boltfirebase.google.com/­products/­firestorehbase.apache.orggithub.com/­spotify/­heroic
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­firestorehbase.apache.org/­book.htmlspotify.github.io/­heroic
DeveloperAmazonGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetSpotify
Initial release20152013201720082014
Current release2.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache version 2Open Source infoApache 2.0
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 languageGoJavaJava
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
Data schemeyesschema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesnoyesoptions to bring your own types, AVROyes
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.yesnononono
Secondary indexesyesnoyesnoyes infovia Elasticsearch
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
GoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in Javano
Triggersyesnoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
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.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Amazon AuroraBoltDBGoogle Cloud FirestoreHBaseHeroic
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