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DBMS > Amazon Aurora vs. EsgynDB vs. SingleStore

System Properties Comparison Amazon Aurora vs. EsgynDB vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEsgynDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.46
Rank#45  Overall
#29  Relational DBMS
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score7.04
Rank#61  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.esgyn.cnwww.singlestore.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.singlestore.com
DeveloperAmazonEsgynSingleStore Inc.
Initial release201520152013
Current release7.6, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, JavaC++, Go
Server operating systemshostedLinuxLinux info64 bit version required
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesyesyes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
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
All languages supporting JDBC/ODBC/ADO.NetBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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-standardfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
Amazon AuroraEsgynDBSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraEsgynDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

Amazon Aurora Serverless gets more granular and affordable
21 April 2022, VentureBeat

AWS Releases the Second Version of Amazon Aurora Serverless with Independent Scaling
29 April 2022, InfoQ.com

RDS and Aurora PostgreSQL Vulnerability Leads to AWS Deprecating Many Minor Versions
23 April 2022, InfoQ.com

Amazon Rolls Out Web Services (AWS) Innovations
9 May 2022, Investopedia

Why Google Cloud is battling AWS, Azure, in the red-hot PostgreSQL market
11 May 2022, InfoWorld

provided by Google News

SingleStore Leads Database Industry With Four Top Rated 2022 Awards From TrustRadius
12 May 2022, Business Wire

Real-time database startup Imply reaches unicorn status with $100M infusion
17 May 2022, TechCrunch

Storage facing trillion-row database apocalypse – Blocks and Files
28 April 2022, Blocks and Files

Bottomless Storage and Pipeline: The Quest for a New Database Paradigm
20 April 2022, Dataconomy

IBM resells SingleStore as a service – Blocks and Files
4 April 2022, Blocks and Files

provided by Google News

Job opportunities

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