Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Data Analytics/Redshift
Redshift

Redshift

Founded 2012

Run SQL analytics on petabytes of data in a cloud data warehouse

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Amazon Redshift to store and analyze large volumes of structured data using SQL. It connects to data lakes on Amazon S3, operational databases like Aurora and DynamoDB, and streaming services like Kinesis without requiring complex data pipelines. You can run BI reports, build ML models in SQL, query near real-time data, and use natural language to write queries via Amazon Q. It scales automatically with serverless options and integrates with tools like QuickSight, Tableau, and Power BI.

What Redshift does

Write SQL queries on petabytes of data across a data warehouse and data lakeSet up a serverless data warehouse that scales automatically with query loadSync transactional database changes into Redshift without managing ETL pipelinesBuild and train ML models using SQL inside the data warehouseConnect BI tools like Tableau or Power BI to Redshift for dashboard reportingQuery Amazon S3 data in Iceberg and Parquet formats without copying itUse Amazon Q to generate SQL from plain English descriptionsControl data access at row and column level for different user groupsServerless mode that auto-scales compute based on workload without any manual setupZero-ETL integrations that move data from Aurora, RDS, and DynamoDB into Redshift without pipelinesBuilt-in data lake query engine supporting Apache Iceberg and Parquet on Amazon S3Natural language SQL query generation using Amazon Q in the Redshift Query EditorGraviton-based RG instances running workloads up to 2.4x faster at 30% lower cost than RA3Row-level and column-level access controls included at no extra costUp to 7x faster query performance on first-run low-latency SQL queriesDirect integration with Amazon Bedrock for using Redshift data in generative AI applications

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

Amazon QuickSightAmazon QuickSightTableauTableau

Want a tailored answer?

See whether Redshift fits your stack.

Techbible weighs Redshift against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Redshift

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Data Analytics

All tools →
Hotjar

Hotjar

Track website visitor behavior through heatmaps, session recordings, and feedback surveys

Amplitude

Amplitude

Track user behavior, analyze conversion funnels, and run product experiments across web and mobile

Google Analytics

Google Analytics

Track user traffic, engagement, and conversions across websites and mobile apps

42matters

42matters

Track mobile and connected TV app market metrics and SDKs

Adapt Ready, Inc.

Adapt Ready, Inc.

Analyze external risk data to track operational and financial threats across commercial portfolios

Advizzo

Advizzo

Deliver personalized water and energy consumption reports to motivate customer conservation efforts

Ageospatial

Ageospatial

Analyze physical property and infrastructure risks using satellite imagery and maps

Airbtics

Airbtics

Analyze short-term rental data and estimate Airbnb property revenue

Amazon Redshift, cloud data warehouse, SQL analytics, data lake, serverless analytics, zero-ETL, Apache Iceberg, AWS analytics, near real-time analytics, BI dashboards, machine learning SQL, AWS Graviton, data lakehouse, Amazon SageMaker, petabyte analytics, data warehouse, Redshift Serverless, streaming analytics, AWS data services, enterprise analytics