DBMS > NCache vs. Oracle Rdb vs. Teradata Aster vs. Trino

System Properties Comparison NCache vs. Oracle Rdb vs. Teradata Aster vs. Trino

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Editorial information provided by DB-Engines

Name

Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.

Description

Open-Source and Enterprise in-memory Key-Value Store

Platform for big data analytics on multistructured data sources and types

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Key-value store

Relational DBMS

Secondary database models

Document store
Search engine

Using distributed Lucene

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.91
Rank	#196	Overall
	#29	Key-value stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	5.28
Rank	#61	Overall
	#35	Relational DBMS

Website

www.alachisoft.com/ncache

www.oracle.com/database/technologies/related/rdb.html

trino.io

Technical documentation

www.alachisoft.com/resources/docs

www.oracle.com/database/technologies/related/rdb-doc.html

trino.io/broadcast
trino.io/docs/current

Developer

Alachisoft

Oracle, originally developed by Digital Equipment Corporation (DEC)

Teradata

Trino Software Foundation

Initial release

2005

1984

2005

2012

2020 rebranded from PrestoSQL

Current release

5.3.3, April 2024

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

Enterprise Edition available

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C#, .NET, .NET Core, Java

Java

Server operating systems

Linux
Windows

HP Open VMS

Linux

Linux
macOS

for devlopment

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

defined schema within the relational store; partial schema or schema free in the Aster File Store

yes

Typing

predefined data types such as float or date

partial

Supported data types are Lists, Queues, Hashsets, Dictionary and Counter

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

in Aster File Store

Secondary indexes

yes

depending on connected data-source

SQL

Support of SQL

SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.

yes

APIs and other access methods

IDistributedCache
JCache
LINQ
Proprietary native API

ADO.NET
JDBC
ODBC
OLE DB

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala

C
C#
C++
Java
Python
R

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

support for stored procedures with SQL-Server CLR

R packages

yes, depending on connected data-source

Triggers

yes

Notifications

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

yes

Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.

depending on connected data-source

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

SQL Map-Reduce Framework

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

depending on connected data-source

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

optimistic locking and pessimistic locking

yes, on a single node

ACID

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

fine grained access rights according to SQL-standard

SQL standard access control

More information provided by the system vendor

Specific characteristics

NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more

Competitive advantages

NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more

Typical application scenarios

NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more

Key customers

Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more

Market metrics

Market Leader in .NET Distributed Caching since 2005.
» more

Licensing and pricing models

NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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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

Recent citations in the news

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