DBMS > Apache Cassandra vs. NCache vs. STSdb vs. TigerGraph

System Properties Comparison Apache Cassandra vs. NCache vs. STSdb vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Wide column store

Key-value store

Graph DBMS

Secondary database models

Vector DBMS

starting with release V5

Document store
Search engine

Using distributed Lucene

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

Score	98.94
Rank	#11	Overall
	#1	Wide column stores

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

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Score	1.44
Rank	#152	Overall
	#14	Graph DBMS

Website

cassandra.apache.org

www.alachisoft.com/ncache

github.com/STSSoft/STSdb4

www.tigergraph.com

Technical documentation

cassandra.apache.org/doc/latest

www.alachisoft.com/resources/docs

docs.tigergraph.com

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Alachisoft

STS Soft SC

Initial release

2008

2005

2011

2017

Current release

5.0-rc1, July 2024

5.3.3, April 2024

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Enterprise Edition available

Open Source

GPLv2, commercial license available

commercial

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C#, .NET, .NET Core, Java

C++

Server operating systems

BSD
Linux
OS X
Windows

Linux
Windows

Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

partial

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

yes

primitive types and user defined types (classes)

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.

Secondary indexes

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

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

SQL-like query language (GSQL)

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

IDistributedCache
JCache
LINQ
Proprietary native API

.NET Client API

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

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

C#
Java

C++
Java

Server-side scripts

Stored procedures

support for stored procedures with SQL-Server CLR

yes

Triggers

yes

Notifications

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

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

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

Atomicity and isolation are supported for single operations

optimistic locking and pessimistic locking

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users can be defined per object

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

Role-based access control

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
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Market metrics

Apache Cassandra is used by 40% of the Fortune 100.
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Market Leader in .NET Distributed Caching since 2005.
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
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