Redshift Cost Optimization Tools and Amazon Redshift Cost Management Software Compared With Prices

Best for: Every Redshift customer, as the free baseline

AWS includes more than most teams use. Redshift Advisor issues eleven recommendation types, from compression encodings and distribution keys to splitting S3 files before COPY and reallocating workload management memory, each with the SQL to apply it. Automatic Table Optimization changes sort and distribution keys by itself. Provisioned clusters can pause and resume on a schedule, which stops compute billing on on-demand nodes while storage keeps billing. Serverless workgroups take usage limits on RPU-hours per day, week or month, with an alert, a log entry or turning off user queries when hit, and a price-performance target that lets Redshift scale for cost or speed. What is missing is anyone reviewing it every month.

Best for: Teams that want idle cluster and reserved node recommendations without buying a tool

Trusted Advisor's Underutilized Amazon Redshift Clusters check flags a running cluster with no connections in the last 7 days, or under 5 percent average CPU for 99 percent of them, and estimates the monthly saving of a final snapshot and shutdown. Cost Optimization Hub and Cost Explorer produce reserved node purchase recommendations from your usage, and Cost Explorer reports reservation coverage and utilization so you can see an expiring reservation before it lapses. The gaps are real: AWS Compute Optimizer does not support Redshift, nothing here looks at Serverless base capacity, and the cost checks in Trusted Advisor sit behind a paid support plan.

Best for: Enterprises already running Turbonomic that want idle provisioned clusters paused automatically

Since Turbonomic 8.14.5 the platform discovers provisioned Redshift clusters and generates a suspend action when a cluster is available but has had no active database connections for the idle window, 24 hours by default and adjustable by policy. You can run those actions manually or let them execute automatically, and Turbonomic records the savings. It is the only product here that changes Redshift state on its own. The limits are narrow scope and enterprise packaging: Serverless is not discovered, Multi-AZ clusters must be converted first, and there is no published price for Redshift coverage.

Best for: AWS teams with large, steady Redshift fleets that want reserved nodes bought and laddered for them

ProsperOps extended its Autonomous Discount Management to RDS, ElastiCache, MemoryDB, Redshift and OpenSearch in July 2024, buying reserved nodes in small staggered tranches it calls adaptive laddering so commitments expire continuously instead of all at once. Flexera bought ProsperOps in January 2026 and the brand continues. It charges a share of the savings it produces and does not publish the percentage; its AWS Marketplace listing has a single placeholder savings-share unit. It suits a fleet big enough that commitment management is a recurring job rather than a once-a-year purchase.

Best for: Teams that want a Redshift reservation discount without carrying the commitment risk

Usage.ai launched Redshift reserved instances with a guaranteed buyback in 2023 and now sells them as Flex Reserved Instances, 1-year terms with no upfront payment that it purchases and manages, with cashback if usage falls. Its AWS Marketplace listing prices database and analytics savings at 35 percent and EC2 savings at 20 percent. The trade is simple: you give up a third of the discount in exchange for not being stuck with a reservation if the warehouse shrinks or moves to Serverless. For a cluster that will plainly run for three more years, buying the reserved node yourself keeps all of it.

Best for: AWS customers who want one vendor to manage reservations across EC2, RDS, Redshift and SageMaker

CloudKeeper's Commit offer on AWS Marketplace covers EC2, Lambda, Fargate, RDS, ElastiCache, OpenSearch, Redshift and SageMaker commitments and charges a share of savings, 18 percent on compute and 35 percent on other services. It belongs on a shortlist next to Usage.ai and ProsperOps when the goal is one contract for every reservation the company holds. Ask how it handles a move from RA3 to RG or Serverless, because a reservation bought for the old node type keeps billing until its term ends.

Best for: Engineering teams that want cheap Redshift reporting and reserved node recommendations

Vantage reports Redshift cost alongside the rest of AWS and its Autopilot feature recommends Redshift reserved nodes, calculating how many to buy and linking you to the console to make the purchase. Vantage says there is no fee for those recommendations on RDS, ElastiCache, Redshift and OpenSearch, while its automated Savings Plan purchasing charges 5 percent of savings. Tiers are flat and published: free up to $2,500 of tracked monthly spend, $30 up to $7,500, $200 up to $20,000, then custom. For a small or mid-size warehouse it is the cheapest way to get the reservation math done for you.

Best for: SaaS companies that want Redshift cost per customer or per feature

CloudZero's strength is unit cost: it maps Redshift spend, together with everything else, to customers, products and features through its allocation model. For Redshift specifically it shows the Trusted Advisor underutilized cluster check and the Cost Optimization Hub reserved node recommendation inside its own interface. Its AWS Marketplace on-demand offer is sold in units of $1,000 of monthly AWS spend at $19 a month each, so a company with a $200,000 monthly AWS bill pays about $3,800 a month whether Redshift is 5 or 50 percent of it.

Best for: Finance-led teams that want Redshift inside one allocated bill with virtual tags

Finout puts Redshift into its combined MegaBill and lets you split shared clusters across teams with virtual tags, which solves the most common Redshift complaint: one shared warehouse, many consumers, no fair way to charge them. Its CostGuard scans list EC2, EBS, ElastiCache, load balancers, RDS and S3, and we found no Redshift-specific scan. Prices are public on AWS Marketplace as annual contracts sized by AWS spend. It fits when allocation and showback are the job and someone else handles reservations.

Best for: Teams already on Datadog that want Redshift cost next to cluster metrics

Datadog's cost product ties spend to the same tags as your metrics and traces, so a Redshift cost spike sits next to the query queue and CPU graphs that explain it. Its recommendations include one for Redshift, terminating a cluster with no database connections. Pricing is a share of the cloud bill it tracks: $5 per $1,000 a month on an annual Pro plan, $7.20 on demand. If Datadog is already your observability platform this is the low-friction choice; if not, it is an expensive way to watch one service.

Best for: Finance and FinOps teams that want Redshift spend per cluster and team next to the rest of cloud and SaaS

CostAnalyst reads the AWS cost and usage export you upload and splits Redshift into the lines that move: node hours by node type, RPU-hours, managed storage, Concurrency Scaling, Spectrum scans and snapshots, allocated to teams by your tags next to Azure, Google Cloud and SaaS spend. It flags a Concurrency Scaling or Spectrum jump before the invoice closes and shows whether a reserved node purchase actually lowered the next bill. It never needs access to your AWS account. It does not pause clusters or buy reservations, so pair it with Turbonomic or a commitment manager if you want those done for you.