DBMS > Datastax Enterprise

Datastax Enterprise System Properties

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Name

Description

DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.

Primary database model

Graph DBMS
Wide column store

Secondary database models

Document store
Key-value store

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

Score	7.25
Rank	#42	Overall
	#3	Graph DBMS
	#4	Wide column stores

Website

www.datastax.com/products/datastax-enterprise

Technical documentation

docs.datastax.com

Developer

DataStax

Initial release

2011

Current release

6.0

License

Commercial or Open Source

commercial

Cloud-based info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

DataStax Managed Cloud

Implementation language

Java

Server operating systems

Linux
OS X

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

XML support info

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

yes

SQL

Support of SQL

SQL-like DML and DDL statements (CQL); Spark SQL

APIs and other access methods

Proprietary protocol info

CQL (Cassandra Query Language)
TinkerPop Gremlin info

with DSE Graph

Supported programming languages

C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts info

Stored procedures

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Replication methods info

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware, advanced replication for edge computing

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Tunable Consistency info

consistency level can be individually decided with each write operation
Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

Atomicity and isolation are supported for single operations

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

100% continuous availability, real-time, distributed, massive scale data management for business-critical applications.

Competitive advantages

Supporting the following application requirements:

Contextual: complete data layer comprising of database - including graph, search, and analytics - to instantly serve relevant information and experiences with every interaction.
Always-on: not simply "high availability", but continuous availability without complexity and cost of multiple systems for replication and failover
Real-time: meet business-critical instant requirements, no matter workload demands or location
Distributed: achieve highest workload requirements no matter the location, with the ability to span data centers, cloud regions, and hybrid cloud
Scalable: scales linearly and predictably. Scale out with commodity hardware or efficiently scale up with compute-intensive hardware

Built-in support for multi and hybrid cloud. A single database/cluster can span all major cloud providers and on-premise installations, which provides complete data independence.

Typical application scenarios

Applications that must serve contextual information and be always-on, distributed, real-time, and scalable with the following use cases:
Customer 360, Personalization and Recommendations, Loyalty Programs, Consumer Fraud Protection, eCommerce, Inventory Management, Asset Monitoring, Supply Chain Management, Logistics, Security & Compliance and Identity Management.

Key customers

Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and Walmart

Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by