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DBMS > Amazon Aurora vs. atoti vs. Hawkular Metrics vs. LeanXcale vs. NCache

System Properties Comparison Amazon Aurora vs. atoti vs. Hawkular Metrics vs. LeanXcale vs. NCache

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websiteaws.amazon.com/­rds/­auroraatoti.iowww.hawkular.orgwww.leanxcale.comwww.alachisoft.com/­ncache
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.alachisoft.com/­resources/­docs
DeveloperAmazonActiveViamCommunity supported by Red HatLeanXcaleAlachisoft
Initial release2015201420152005
Current release5.3.3, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoEnterprise Edition available
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 languageJavaJavaC#, .NET, .NET Core, Java
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 indexesyesnoyes
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)noyes infothrough Apache DerbySQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
IDistributedCache
JCache
LINQ
Proprietary native 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
Go
Java
Python
Ruby
C
Java
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesPythonnono infosupport for stored procedures with SQL-Server CLR
Triggersyesyes infovia Hawkular Alertingyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningSharding infobased on Cassandrayes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Amazon AuroraatotiHawkular MetricsLeanXcaleNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Amazon AuroraatotiHawkular MetricsLeanXcaleNCache
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