DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. FatDB vs. NCache vs. SingleStore vs. Yaacomo

System Properties Comparison Amazon DynamoDB vs. FatDB vs. NCache vs. SingleStore vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFatDB  Xexclude from comparisonNCache  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Open-Source and Enterprise in-memory Key-Value StoreMySQL 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 typeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document store
Key-value store
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.98
Rank#196  Overall
#29  Key-value stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.alachisoft.com/­ncachewww.singlestore.comyaacomo.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.alachisoft.com/­resources/­docsdocs.singlestore.com
DeveloperAmazonFatCloudAlachisoftSingleStore Inc.Q2WEB GmbH
Initial release20122012200520132009
Current release5.3, September 20228.5, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoEnterprise Edition availablecommercial infofree developer edition availablecommercial
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.
SingleStoreDB Cloud: 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#C#, .NET, .NET Core, JavaC++, Go
Server operating systemshostedWindowsLinux
Windows
Linux info64 bit version requiredAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infobut no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
IDistributedCache
JCache
LINQ
Proprietary native API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsno infosupport for stored procedures with SQL-Server CLRyes
Triggersyes infoby integration with AWS Lambdayes infovia applicationsyes infoNotificationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infohash partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes, with selectable consistency levelSource-replica replication infostores two copies of each physical data partition on two separate nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnooptimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
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 roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Fine grained access control via users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBFatDBNCacheSingleStore infoformer name was MemSQLYaacomo
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
F ree Tier and Enterprise Edition
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBFatDBNCacheSingleStore infoformer name was MemSQLYaacomo
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

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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

show all

Recent citations in the news

How VTEX improved the shopper experience with Amazon DynamoDB | Amazon Web Services
16 April 2024, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services
19 March 2024, AWS Blog

provided by Google News

How to use NCache in ASP.Net Core
25 February 2019, InfoWorld

Custom Response Caching Using NCache in ASP.NET Core
22 April 2020, InfoQ.com

provided by Google News

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks and Files

SingleStore Accelerates Go-to-Market Strategy with AWS
5 March 2024, Business Wire

New AI features for developers in SingleStoreDB
29 January 2024, InfoWorld

Announcing watsonx.ai and SingleStore for generative AI applications
15 November 2023, IBM

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here