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DBMS > Datastax Enterprise

Datastax Enterprise System Properties

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Our visitors often compare Datastax Enterprise with Cassandra, Neo4j and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameDatastax Enterprise
DescriptionDataStax 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 modelGraph DBMS
Wide column store
Secondary database modelsDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.30
Rank#43  Overall
#3  Graph DBMS
#4  Wide column stores
Websitewww.datastax.com/­products/­datastax-enterprise
Technical documentationdocs.datastax.com
DeveloperDataStax
Initial release2011
Current release6.0
License infoCommercial or Open Sourcecommercial
Cloud-based infoOnly available as a cloud serviceno
Implementation languageJava
Server operating systemsLinux
OS X
Data schemeschema-free
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per object
More information provided by the system vendor
Datastax Enterprise
Specific characteristics100% 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 scenariosApplications 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 customersCapital 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 modelsAnnual 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
Datastax Enterprise
Recent citations in the news

DataStax Launches Google Kubernetes Engine to Offer Docker DataStax Enterprise Containers
27 July 2018, Read IT Quik

DataStax Launches Commercial Kubernetes Application to Google Cloud Platform Marketplace Users
26 July 2018, Business Wire (press release)

Distributed Systems, Demystified: Cassandra, DataStax demo and FAQ - Microsoft
14 August 2018, Channel 9

DataStax Getting Ready For IPO Targeting $46B Database Market
29 July 2018, Forbes

DataStax Opens New Office in Cork
30 July 2018, Maryville Daily Times

provided by Google News

Job opportunities

IM Consultant 2 (Multiple Positions)
EY, Charlotte, NC

Datastax Enterprise (DSE) Engineer
Ingenworks, Phoenix, AZ

Business Development Representative, Strategic Accounts - DS201801264
Spry Squared, Inc., Atlanta, GA

Technical Support Engineer
Datastax, United States

Business Development Representative - Federal - DS201801691
Spry Squared, Inc., Atlanta, GA

jobs by Indeed




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