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DBMS > Amazon Aurora vs. BoltDB vs. Drizzle vs. Firebase Realtime Database vs. HEAVY.AI

System Properties Comparison Amazon Aurora vs. BoltDB vs. Drizzle vs. Firebase Realtime Database vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.76
Rank#224  Overall
#32  Key-value stores
Score15.00
Rank#39  Overall
#6  Document stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­boltdb/­boltfirebase.google.com/­products/­realtime-databasegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­databasedocs.heavy.ai
DeveloperAmazonDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014HEAVY.AI, Inc.
Initial release20152013200820122016
Current release7.2.4, September 20125.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++ and CUDA
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
hostedLinux
Data schemeyesschema-freeyesschema-freeyes
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.yesnonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
GoC
C++
Java
PHP
Java
JavaScript
Objective-C
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesnonolimited functionality with using 'rules'no
Triggersyesnono infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyesno
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Amazon AuroraBoltDBDrizzleFirebase Realtime DatabaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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