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DBMS > Amazon Aurora vs. CockroachDB vs. Drizzle vs. Firebolt vs. H2

System Properties Comparison Amazon Aurora vs. CockroachDB vs. Drizzle vs. Firebolt vs. H2

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebolt  Xexclude from comparisonH2  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 AmazonCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comwww.firebolt.iowww.h2database.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docsdocs.firebolt.iowww.h2database.com/­html/­main.html
DeveloperAmazonCockroach LabsDrizzle project, originally started by Brian AkerFirebolt Analytics Inc.Thomas Mueller
Initial release20152015200820202005
Current release23.1.1, May 20237.2.4, September 20122.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPLcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Java
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
OS X
hostedAll OS with a Java VM
Data schemeyesdynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyes infowith proprietary extensionsyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Java
PHP
Go
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyesnononoJava Stored Procedures and User-Defined Functions
Triggersyesnono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTMulti-source replication
Source-replica replication
depending on storage layerWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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-standardRole-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Amazon AuroraCockroachDBDrizzleFireboltH2
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