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DBMS > Amazon Aurora vs. Apache Impala vs. FatDB vs. JaguarDB vs. NCache

System Properties Comparison Amazon Aurora vs. Apache Impala vs. FatDB vs. JaguarDB vs. NCache

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonFatDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonNCache  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA .NET NoSQL DBMS that can integrate with and extend SQL Server.Performant, highly scalable DBMS for AI and IoT applicationsOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Key-value store
Vector DBMS
Key-value store
Secondary database modelsDocument storeDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.jaguardb.comwww.alachisoft.com/­ncache
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.jaguardb.com/­support.htmlwww.alachisoft.com/­resources/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFatCloudDataJaguar, Inc.Alachisoft
Initial release20152013201220152005
Current release4.1.0, June 20223.3 July 20235.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL V3.0Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++ infothe server part. Clients available in other languagesC#, .NET, .NET Core, Java
Server operating systemshostedLinuxWindowsLinuxLinux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyespartial 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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-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
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
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
All languages supporting JDBC/ODBCC#C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infovia applicationsnono infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyes infovia applicationsnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factorMulti-source replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno infoCan implement custom security layer via applicationsrights management via user accountsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Amazon AuroraApache ImpalaFatDBJaguarDBNCache
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 AuroraApache ImpalaFatDBJaguarDBNCache
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