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DBMS > Amazon Aurora vs. Databend vs. etcd vs. Ignite

System Properties Comparison Amazon Aurora vs. Databend vs. etcd vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatabend  Xexclude from comparisonetcd  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA distributed reliable key-value storeApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
Relational 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­datafuselabs/­databend
www.databend.com
etcd.io
github.com/­etcd-io/­etcd
ignite.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.databend.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apacheignite.readme.io/­docs
DeveloperAmazonDatabend LabsApache Software Foundation
Initial release201520212015
Current release1.0.59, April 20233.4, August 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 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 languageRustGoC++, Java, .Net
Server operating systemshostedhosted
Linux
macOS
FreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesyesnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
gRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonoyes (compute grid and cache interceptors can be used instead)
Triggersyesnoyes, watching key changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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-standardUsers with fine-grained authorization concept, user rolesnoSecurity Hooks for custom implementations

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More resources
Amazon AuroraDatabendetcdIgnite
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