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DBMS > Amazon DocumentDB vs. Hazelcast vs. NCache vs. PlanetScale

System Properties Comparison Amazon DocumentDB vs. Hazelcast vs. NCache vs. PlanetScale

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNCache  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted in-memory data gridOpen-Source and Enterprise in-memory Key-Value StoreScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­documentdbhazelcast.comwww.alachisoft.com/­ncacheplanetscale.com
Technical documentationaws.amazon.com/­documentdb/­resourceshazelcast.org/­imdg/­docswww.alachisoft.com/­resources/­docsplanetscale.com/­docs
DeveloperHazelcastAlachisoftPlanetScale
Initial release2019200820052020
Current release5.3.6, November 20235.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#, .NET, .NET Core, JavaGo
Server operating systemshostedAll OS with a Java VMLinux
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCache
JPA
Memcached protocol
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesno infosupport for stored procedures with SQL-Server CLRyes infoproprietary syntax
Triggersnoyes infoEventsyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoReplicated Mapyes, with selectable consistency levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsone or two-phase-commit; repeatable reads; read commitedoptimistic locking and pessimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon DocumentDBHazelcastNCachePlanetScale
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 DocumentDBHazelcastNCachePlanetScale
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