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DBMS > Amazon Aurora vs. BoltDB vs. Drizzle vs. RisingWave

System Properties Comparison Amazon Aurora vs. BoltDB vs. Drizzle vs. RisingWave

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonRisingWave  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.A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­boltdb/­boltwww.risingwave.com/­database
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperAmazonDrizzle project, originally started by Brian AkerRisingWave Labs
Initial release2015201320082022
Current release7.2.4, September 20121.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGNU GPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Rust
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesStandard SQL-types and JSON
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC
PostgreSQL wire protocol
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoUDFs in Python or Java
Triggersyesnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, HTTPUsers and Roles

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More resources
Amazon AuroraBoltDBDrizzleRisingWave
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Recent citations in the news

Introducing the Advanced Python Wrapper Driver for Amazon Aurora | Amazon Web Services
11 June 2024, AWS Blog

Build a FedRAMP compliant generative AI-powered chatbot using Amazon Aurora Machine Learning and Amazon ...
10 June 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon ...
9 February 2024, AWS Blog

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2 February 2024, AWS Blog

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