DBMS > Datastax Enterprise vs. VoltDB

System Properties Comparison Datastax Enterprise vs. VoltDB

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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.

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Wide column store

Relational DBMS

Secondary database models

Document store
Graph DBMS
Search engine

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

Score	8.27
Rank	#49	Overall
	#4	Wide column stores

Score	1.72
Rank	#127	Overall
	#64	Relational DBMS

Website

www.datastax.com/products/datastax-enterprise

www.voltdb.com

Technical documentation

docs.datastax.com

docs.voltdb.com

Developer

DataStax

VoltDB Inc.

Initial release

2011

2010

Current release

6.8, April 2020

10.1, October 2020

License

Commercial or Open Source

commercial

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Java, C++

Server operating systems

Linux
OS X

for development

Data scheme

schema-free

yes

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

yes

only a subset of SQL 99

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

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

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

Multi-source replication
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

FOREIGN KEY constraints are not supported

Transaction concepts

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

Atomicity and isolation are supported for single operations

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

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

Users and roles with access to stored procedures

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

Your occasional storage digest with a ZB of shipped disk capacity, petabyte flash Dell servers, and more – Blocks and Files
12 February 2021, Blocks and Files

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

DataStax Announces DataStax Enterprise 6.7
5 December 2018, Business Wire

provided by Google News

Global NEWSQL Database Market : Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal, Altibase, MemSQL, TIBCO, VoltDB, etc.
28 February 2021, The Bisouv Network

In-Memory Database Market Global Business insights, Growth Factors with Top Companies – Amazon Web Services, Altibase Corporation, McObject LLC, Microsoft Corporation, VoltDB, SAP SE, ENEA, IBM Corporation, Kognitio Ltd., Teradata Corporation, Tableau software, DataStax, Oracle Corporation
1 March 2021, NY Market Reports

In-memory OLAP Database Market, Top key players are- Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB – NeighborWebSJ
10 February 2021, NeighborWebSJ

Global NEWSQL Database Market 2025: Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal, Altibase, MemSQL, TIBCO, VoltDB, Google, Cockroach Labs, MariaDB, ScaleArc (Ignite Technologies)
26 February 2021, The Bisouv Network

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28 February 2021, NY Market Reports

provided by Google News

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