DBMS > Datastax Enterprise vs. Lovefield vs. UniData,UniVerse

System Properties Comparison Datastax Enterprise vs. Lovefield vs. UniData,UniVerse

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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.

Embeddable relational database for web apps written in pure JavaScript

MultiValue database and application server with SQL mapping layer and meta database capabilities

Primary database model

Wide column store

Relational DBMS

Multivalue DBMS

Secondary database models

Document store
Graph DBMS
Search engine

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

Score	9.04
Rank	#46	Overall
	#4	Wide column stores

Score	0.51
Rank	#229	Overall
	#111	Relational DBMS

Score	4.21
Rank	#81	Overall
	#2	Multivalue DBMS

Website

www.datastax.com/products/datastax-enterprise

google.github.io/lovefield

www.rocketsoftware.com/products/rocket-u2

Technical documentation

docs.datastax.com

github.com/google/lovefield/blob/master/docs/spec_index.md

www.rocketsoftware.com/products/rocket-u2/documentation

Developer

DataStax

Google

Rocket Software

Initial release

2011

2014

1985

Current release

6.8, April 2020

2.1.12, February 2017

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

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.

Implementation language

Java

JavaScript

Server operating systems

Linux
OS X

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

optional

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

SQL-like query language

via JavaScript builder pattern

yes

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

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

JavaScript

.Net
Basic

U2 Basic
C
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Using read-only observers

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

none

Source-replica replication

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

yes

Transaction concepts

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

Atomicity and isolation are supported for single operations

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

Access rights for users can be defined per object

Access rights according to SQL-standard and operating system based

More information provided by the system vendor

Specific characteristics

DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more

Competitive advantages

Supporting the following application requirements: Zero downtime - Built on Apache...
» more

Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able...
» more

Key customers

Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more

Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more

Licensing and pricing models

Annual subscription
» more

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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

DataStax Enterprise 6.8 Advances Cloud-Native Data and Bare-Metal Performance
7 April 2020, Business Wire

DataStax Enterprise 6.8: Advanced cloud-native data and bare-metal performance
9 April 2020, Help Net Security

5 Steps to Solving Modern Scalability Problems - Webcast - 2021-01-28 13:00:00 EST
23 December 2020, InformationWeek

DataStax Unveils Vector: AIOps for Apache Cassandra
16 June 2020, Business Wire

Datastax Launches Tech Support for Open Source Cassandra
17 December 2019, Datanami

provided by Google News

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Rocket Software UniData Offers High Level of Performance for the Society of Authors
23 October 2019, Database Trends and Applications

UniData
5 March 2019, International Spectrum Magazine

Aquaculture Monitoring System Market SWOT Analysis, by Key Players: Kongsberg Maritime, OsmoBot, Campbell Scientific, Aanderaa, Pentair, EnviroMonitors, Unidata, Nautikaris, Endress+Hauser Process Solutions, Xylem
4 January 2021, NeighborWebSJ

provided by Google News

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