DBMS > Amazon Redshift vs. Datastax Enterprise vs. HarperDB

System Properties Comparison Amazon Redshift vs. Datastax Enterprise vs. HarperDB

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

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.

Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.

Primary database model

Relational DBMS

Wide column store

Document store

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Search engine

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

Score	26.17
Rank	#31	Overall
	#18	Relational DBMS

Score	8.46
Rank	#57	Overall
	#4	Wide column stores

Score	0.40
Rank	#258	Overall
	#39	Document stores

Website

aws.amazon.com/redshift

www.datastax.com/products/datastax-enterprise

harperdb.io

Technical documentation

docs.aws.amazon.com/redshift

docs.datastax.com

harperdb.io/developers/documentation/overview

Developer

Amazon (based on PostgreSQL)

DataStax

HarperDB

Initial release

2012

2011

2017

Current release

6.8, April 2020

3.1, August 2021

License

Commercial or Open Source

commercial

free community edition available

Cloud-based only

Only available as a cloud service

yes

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

Node.js

Server operating systems

hosted

Linux
OS X

Data scheme

yes

schema-free

dynamic schema

Typing

predefined data types such as float or date

yes

JSON data types

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

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

SQL-like data manipulation statements

APIs and other access methods

JDBC
ODBC

Proprietary protocol

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

Supported programming languages

All languages supporting JDBC/ODBC

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

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

Server-side scripts

Stored procedures

user defined functions

in Python

Custom Functions

since release 3.1

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

A table resides as a whole on one (or more) nodes in a cluster

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

the nodes on which a table resides can be defined

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency
Tunable Consistency

consistency level can be individually decided with each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

Transaction concepts

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

ACID

Atomicity and isolation are supported for single operations

Atomic execution of specific operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using LMDB

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users can be defined per object

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
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Competitive advantages

Supporting the following application requirements: Zero downtime - Built on Apache...
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By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
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Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able...
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Use cases where HarperDB is a better fit than other solutions include: Rapid app...
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Key customers

Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
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Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Over 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...
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Licensing and pricing models

Annual subscription
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HarperDB follows a freemium/premium model . A data base is only as powerful as it...
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