Audyense
Amazon Redshift
Data Infrastructure · aws.amazon.com/redshift/
Overview
Amazon Redshift is AWS's managed, columnar cloud data warehouse for running large-scale SQL analytics and BI workloads. It separates compute from storage, offers both a serverless mode and provisioned clusters (including newer Graviton-based RA3/RG node types), and integrates natively with the broader AWS data ecosystem including S3, Kinesis, SageMaker, and Bedrock. It reached general availability in February 2013 and remains actively developed with regular AWS feature releases.
The problem Amazon Redshift solves
Analytics teams running large-scale BI and reporting workloads typically outgrow their transactional databases and end up needing separate infrastructure just to store, index, and query billions of rows without slowing down production systems. Amazon Redshift solves this by providing a fully managed, columnar cloud data warehouse that separates compute from storage, scales elastically through Serverless or provisioned clusters, and plugs directly into the rest of the AWS data ecosystem, so analysts can run petabyte-scale SQL analytics without operating their own database servers.
Decision context
Use these points to test whether the product fits your operation, not just whether it has a long feature list.
- Published starting price: $0 per RPU-hour (Redshift Serverless base compute rate). Confirm user, usage, and feature limits for the plan you would actually buy.
- Deployment: cloud. Check security, data-residency, and access requirements for every team that will use it.
- Verified integrations include Amazon S3, Amazon SageMaker, Amazon Bedrock, Amazon Kinesis Data Streams, Amazon MSK, Amazon Aurora. Validate sync direction and plan limits for the connections that matter.
- This record was last checked on 7/31/2026; pricing and features can change.
How to evaluate Amazon Redshift
A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.
Workflow fit
The record describes it as a fit for Organizations already standardized on AWS that want a native, tightly-integrated data warehouse, Enterprises and mid-market companies running large-scale SQL-based BI/reporting workloads, Teams that need to query both data-lake files (S3/Iceberg/Parquet) and warehouse tables from a single SQL engine. Check that this context matches the volume, roles, and processes your team needs it to support.
Pilot questions
- Can Amazon Redshift complete the critical workflow without manual work outside the product?
- Do the recorded connections (Amazon S3, Amazon SageMaker, Amazon Bedrock, Amazon Kinesis Data Streams) support the sync direction, permissions, and volume we need?
- What user, usage, storage, support, or security limits appear after the headline starting price?
Evidence and freshness
This record was checked on 7/31/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.
Best for
- Organizations already standardized on AWS that want a native, tightly-integrated data warehouse
- Enterprises and mid-market companies running large-scale SQL-based BI/reporting workloads
- Teams that need to query both data-lake files (S3/Iceberg/Parquet) and warehouse tables from a single SQL engine
Not a fit if
- Small teams wanting a fully cloud-agnostic warehouse with minimal tuning, since Snowflake/BigQuery are often cited as more portable and lower-maintenance
- Teams without in-house SQL/DBA expertise, since getting expected performance still requires attention to distribution keys, sort keys, and vacuum/analyze maintenance
Why it’s listed
- One of the most widely adopted cloud data warehouses, particularly among organizations already standardized on AWS
- Backs BI/reporting and machine-learning workloads at enterprise scale with deep native integration into the AWS data ecosystem
- Actively developed AWS service with regular price-performance and architecture updates
Pricing
Redshift Serverless
$0 per RPU-hour (billed per-second, 60-second minimum)Usage-based, auto-scaling compute measured in Redshift Processing Units, with no cluster management required.
- Automatic scaling of compute capacity
- Per-second billing
- No cluster provisioning required
- Includes Redshift Managed Storage
Provisioned RA3 nodes
$3 per node-hour, e.g. ra3.4xlargeCurrent-generation provisioned clusters with managed storage that scales independently of compute.
- Managed storage billed separately
- Reserved Instance pricing available
- Cross-cluster and cross-account data sharing
Provisioned RG (Graviton) nodes
$1 per node-hour, starting priceNewer Graviton-processor-based provisioned instance family, a faster, cheaper successor to RA3.
- Up to 2.4x the performance of RA3
- About 30% lower price per vCPU than RA3
- Managed storage included
Free Trial
FreeIntroductory offer for new accounts to evaluate Redshift before paying for compute and storage.
- $300 credit valid for 90 days for new Serverless users
- 2-month free trial of a provisioned cluster where Serverless is unavailable
Features
Integrations
Security & compliance
Pros & cons
Pros
- Deep, native integration with the AWS ecosystem (S3, Kinesis, SageMaker, QuickSight, Bedrock)
- Strong price-performance, especially with newer RA3/RG (Graviton) node types and the Serverless option
- Scales to petabyte-size datasets while remaining standard SQL/JDBC/ODBC compatible
- Mature, extensively documented security/compliance footprint (SOC 1/2, PCI DSS, ISO 27001, HIPAA-eligible)
Cons
- Reviewers note a real learning curve around performance tuning (distribution keys, sort keys, vacuum/analyze)
- Node-based provisioned pricing and concurrency limits can get expensive at scale compared to some competitors
- Some SQL syntax and behavior differences from standard PostgreSQL trip up newcomers
- Less cloud-agnostic than Snowflake or BigQuery — tightly coupled to the broader AWS ecosystem
What we found
Rated 4.3/5 on G2 (402 reviews) and 4.4/5 on Capterra (14 reviews); reviewers consistently cite strong scalability and AWS-ecosystem integration, with support quality and data-security sub-scores of 8.5 and 9.7 on G2 respectively.
Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.
User reviews
Written by Audyense accounts · moderated before publishing
No user reviews yet.
Used Amazon Redshift? Be the first to tell other buyers what actually worked.