Amazon Redshift

Amazon Redshift

By: Amazon Web Services, Inc.

Redshift is one of Amazon Web Services (AWS) that features a fast, powerful and fully-managed data warehouse to help businesses analyze their data using existing business intelligence (BI) tools. The platform offers affordable, pay-as-you-go based data analytics services suitable for businesses of all sizes. Users can take advantage of developer resources, guides and tutorials to understand and implement the data analytics software for maximum performance.

From: USA Web Visibility: 93%
Based on 22 Votes
Top Amazon Redshift Alternatives
  • TradingView
  • Splunk
  • Cloudera
  • GraphPad Prism
  • Adobe Analytics
  • Google BigQuery
  • MyAnalytics
  • ATLAS.ti
  • Calero
  • MapR
  • Azure Databricks
  • Exploratory
  • Amazon EMR
  • Oribi
  • Yandex.Metrica
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Top Amazon Redshift Alternatives and Overview

1

TradingView

TradingView is a platform that allows traders to choose and analyze the stocks before buying them.

By: TradingView
Based on 14 Votes
2

Splunk

Splunk is a big data analytics platform used to collect and analyze machine-generated big data and deliver real-time business insights for better decision making.

By: Splunk Inc. From USA
3

Cloudera

By: Cloudera
Based on 24 Votes
4

GraphPad Prism

GraphPad Prism is a propriety software for scientific 2D graphing and generating statistics.

By: GraphPad Software
Based on 11 Votes
5

Adobe Analytics

Adobe Analytics is a Digital Analytics Software that was founded in 1982 to help the users in analyzing their market value and sales based upon the critical decisions taken by the authorities.

By: Adobe
Based on 65 Votes
6

Google BigQuery

BigQuery from Google is a fast, fully managed and optimized data warehouse used by organizations to perform large-scale data analytics.

By: Google Inc. From USA
Based on 39 Votes
7

MyAnalytics

It creates an analysis giving you a daily report of your work which enables you...

By: Microsoft
Based on 4 Votes
8

ATLAS.ti

The initial version of Atlas.ti was called Scientific Software Development, when it was released in...

By: Scientific Software Development GmbH
Based on 14 Votes
9

Calero

The software also helps in providing the best in class solutions to the users, which...

By: Calero
Based on 1 Vote
10

MapR

By: MapR Technologies
Based on 5 Votes
11

Azure Databricks

It is very nifty and easy to implement due to its being based on the...

By: Microsoft
Based on 23 Votes
12

Exploratory

With its help, every data management technique starting from collection to processing to visualization, can...

By: Exploratory
Based on 1 Vote
13

Amazon EMR

The software can process large volumes of data at thrice the speed and half the...

By: AWS
Based on 15 Votes
14

Oribi

Conclusive event tracking and data funneling are available to access data across a variety of...

By: Oribi
Based on 3 Votes
15

Yandex.Metrica

Available with easy to use attribution models, spam filters, and traffic control bot, it provides...

By: Yandex
Based on 4 Votes

Amazon Redshift Review and Overview

Amazon Redshift is a cloud-based data warehouse that allows the organizations to scale up from a hundred gigabytes of data to a petabyte or more. It is a quick, highly managed data warehouse that makes it convenient and cost-effective to examine the entire data using the standard SOL and various business intelligence tools. The redshift dashboard allows you to cancel the request that consumes too many resources. It easily operates the request optimization to run faster and the data to take cover less space on the disks. Redshift keeps your data all together for analytic purposes. It uses S3 buckets to collect and transform data and finally move further. It enables you to use your data to acquire new insights for your businesses and customers, which makes it easy to perform the analysis of queries on the data effectively.

Fast performance and cost-effective

With the use of machine learning, computer-optimized hardware; amazon redshift transfers ten times better and faster performance to generate high throughputs and response times. It gives you additional time to gain insights with less waiting time from the analyzed data by using amazon redshift. It is one of the most cost-effective cloud-based data warehouse solutions with a cost estimation of a tenth of traditional warehouses. It involves no hidden charges, users only pay for what they use.

Easy setup and scalable

It is by far the most simple and easy to use data warehouse that assists users to deploy a new data warehouse within a few minutes. Some of the usual administrative tasks to manage monitor and scale the warehouse data can be easily automated through amazon redshift. It sets the users free from the complexities of managing the data warehouse now and then. Additionally, it also includes the benefits of scaling queries across the user’s database to help them quickly analyze any size of data without undergoing any loading of several procedures.

Secure and short query acceleration

A large number of enterprises and organizations like financial services, healthcare, run their crucial workloads on amazon redshifts. It includes database encryption using management service or cloud-based hardware services, the clusters can be isolated using the amazon redshift cloud data warehouse service. It helps to gain detailed insights into the data that could not be obtained by just querying independent bits of data, without any unnecessary movement of data.

Company Information

Company Name: Amazon Web Services, Inc.

Company Address: 1200 12th Avenue South Suite 1200, Seattle, WA, USA

Founded in: 2006

Top Features

  • Data Warehousing Optimization
  • High Query Performance
  • Columnar Storage
  • Data Compression
  • Zone Maps
  • MPP Architecture
  • Distributing SQL Operations
  • High-performance Data processing
  • Local Attached Storage
  • Simple API Calls
  • Compressed User Data
  • Fault Tolerant
  • Automated Nodes Replication
  • Data Cluster & Backup
  • Automated Re-replicate Data
  • Replacing Nodes
  • Fast Data Restoration
  • AWS Management Console
  • Hardware Security Modules
  • Network Isolation
  • Firewall Rules Configuration
  • Data Audit & Compliance
Content Marketing
  • Disaster Recovery
Core Features
  • Automated Backups
  • SSL Encryption