DBMS > Datastax Enterprise

Datastax Enterprise System Properties

Please select another system to compare it with Datastax Enterprise.

Our visitors often compare Datastax Enterprise with Cassandra, Neo4j and Elasticsearch.

Editorial information provided by DB-Engines

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

Wide column store

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS

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

Score	6.31
Rank	#57	Overall
	#4	Wide column stores

Website

www.datastax.com/products/datastax-enterprise

Technical documentation

docs.datastax.com

Developer

DataStax

Initial release

2011

Current release

6.8, April 2020

License

Commercial or Open Source

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.

Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.

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

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

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

Supported programming languages

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

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Replication methods

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

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency

consistency level can be individually decided with each write operation

Foreign keys

Referential integrity

Transaction concepts

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

Atomicity and isolation are supported for single operations

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

More information provided by the system vendor

Specific characteristics

DataStax Enterprise is scale-out data infrastructure for enterprises that need to handle any workload in any cloud.

Competitive advantages

Supporting the following application requirements:

Zero downtime - Built on Apache Cassandra’s active-everywhere architecture for 24×7×365 availability.
Avoid cloud lock-in and keep compatibility with open source Cassandra.
Global-scale - Put your data where you need it without compromising performance, availability, or accessibility.
Enterprise-grade security, monitoring, and support, hardened by the Fortune 100.
Native Kubernetes support to reduce complexity of development, operations, and deployment.
CQL, Kubernetes and REST APIs for developers and operators.

Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able to be deployed in a cloud-native, multi-cloud, or hybrid cloud model.

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

5 of the top 15 software and services companies
3 of the top 6 retail companies
2 of the 4 top commercial and professional services companies
The 2 top consumer services companies
The top media company

And 9 of the world's 15 biggest banks rely on DataStax.

Licensing and pricing models

Annual subscription

Related products and services

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

More resources

Recent citations in the news

DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
20 February 2024, Business Wire

DataStax Introduces Enhanced RAG Capabilities Through Astra DB and NVIDIA Tech
19 March 2024, Datanami

DataStax Rolls Out Vector Search for Astra DB to Support Gen AI
19 July 2023, EnterpriseAI

DataStax goes vector searching with Astra DB – Blocks and Files
20 July 2023, Blocks and Files

DataStax delivers HIPAA-enabled, PCI compliant vector database to fuel enterprise-wide generative AI applications
20 July 2023, Express Computer

provided by Google News

Share this page