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A Data Warehouse Service

A fully managed, petabyte-scale data warehouse service

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With the applications gaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructure and maintenance costs, etc. This necessitates the requirement of a cost effective and capable data warehousing solution for data storage, which will help keep your data organized and make it simple to access for analytics and reporting.

Amazon Redshift is a petabyte-scale database system available in the cloud that is intended for data storage and analysis. Amazon Redshift is provided and completely managed by Amazon Web Services (AWS). Amazon Redshift uses SQL for analyzing structured and semi-structured data coming from data lakes, operational databases, and data warehouses. Additionally data stored in redshift is encrypted for better security.

With more than 150+ certified AWS experts, Tiger Analytics has successfully implemented Amazon Redshift and other AWS services for numerous customers across various industry verticals.

With the applications gaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructure and maintenance costs, etc. This necessitates the requirement of a cost effective and capable data warehousing solution for data storage, which will help keep your data organized and make it simple to access for analytics and reporting.

Amazon Redshift is a petabyte-scale database system available in the cloud that is intended for data storage and analysis. Amazon Redshift is provided and completely managed by Amazon Web Services (AWS). Amazon Redshift uses SQL for analyzing structured and semi-structured data coming from data lakes, operational databases, and data warehouses. Additionally data stored in redshift is encrypted for better security.

With more than 150+ certified AWS experts, Tiger Analytics has successfully implemented Amazon Redshift and other AWS services for numerous customers across various industry verticals.

Features of Amazon Redshift
Integration With AWS Services
Native integration with AWS services, databases, and machine learning services facilitates frictionless management of full analytics processes
Amazon Redshift Serverless
Serverless option of Amazon Redshift that makes it easy to run analytics in seconds and scale without the need to set up and manage data warehouse infrastructure
End-to-end Encryption
Amazon Redshift provides end-to-end encryption without any extra cost
Better Price Performance
Up to 5x better price performance than other cloud data warehouse
Use Cases for Amazon Redshift
01
Build Enterprise Data Warehouse

Build your data warehouse and utilize the data for analytics and reporting

02
Business Intelligence

Makes it simple and cost-effective to analyze large volumes of data using existing business intelligence (BI) tools

03
Real Time Analysis

Faster analysis of the data

04
ML-based Predictions

Handles all the steps needed to train and deploy a model

Our Accelerators

  • AWS Self-service Data Warehouse Management
  • Data Quality Framework

AWS Self-service Data Warehouse Management

strength
AWS Self-service Data Warehouse Management

Provides end to end capability right from Data Quality and transformation capabilities required for a Data Warehouse. Accelerates data movement from source systems into Amazon Redshift thereby enabling quick onboarding of analytics and ML use cases.

Data Quality Framework

strength
Data Quality Framework

Open-Source framework for Data Quality. It is highly configurable with table & field level rules, integrated with Redshift and monitoring tools.

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