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DBMS > Amazon Aurora vs. Badger vs. Drizzle vs. HarperDB vs. Kinetica

System Properties Comparison Amazon Aurora vs. Badger vs. Drizzle vs. HarperDB vs. Kinetica

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  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 embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­dgraph-io/­badgerwww.harperdb.iowww.kinetica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.harperdb.io/­docsdocs.kinetica.com
DeveloperAmazonDGraph LabsDrizzle project, originally started by Brian AkerHarperDBKinetica
Initial release20152017200820172012
Current release7.2.4, September 20123.1, August 20217.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Node.jsC, C++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
Linux
Data schemeyesschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesnoyesyes infoJSON data typesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL-like data manipulation statementsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful 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
GoC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoCustom Functions infosince release 3.1user defined functions
Triggersyesnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess rights for users and roles on table level

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More resources
Amazon AuroraBadgerDrizzleHarperDBKinetica
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