Software · head to head
Amazon Redshift vs Dynatrace

Dynatrace
Software
Application Performance Management and Observability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
- They diverge on capability: Amazon Redshift covers Columnar Storage, Dynatrace covers AI-powered analytics.
Where they differ
Only the attributes on which Amazon Redshift and Dynatrace actually diverge.
| Attribute | Amazon Redshift | Dynatrace |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Web | Web, Api |
| Founded | 2012 | 2005 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Amazon Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
Only in Dynatrace
- AI-powered analytics
- APM
- Infrastructure monitoring
- Log analysis
- API
- Webhooks
- REST
- Api support
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Dynatrace
- Data warehousingnot Dynatrace
- Real-time analyticsnot Dynatrace
- Reportingnot Dynatrace
- Machine learningnot Dynatrace
Dynatrace
- Full stack application performance monitoring with automatic dependency discoverynot Amazon Redshift
- Kubernetes and container platform observability priced per podnot Amazon Redshift
- Log ingest, processing and query analyticsnot Amazon Redshift
- Real user monitoring and session replay for web applicationsnot Amazon Redshift
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Redshift
- On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
- Performance degrades without proper design of distribution keys and sort keys
- Limited elastic resize options - can only halve or double current cluster size
- AWS lock-in makes it unsuitable for multi-cloud architectures
Dynatrace
- Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
- Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
- Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
- Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
- Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring
Pricing, plan by plan
Amazon Redshift
Free- Free TrialFree
- 750 DC2.Large hours
- 2 months free
- Full features
- On-Demand$0.25/hour
- Pay per node hour
- All features
- Standard support
Dynatrace
Free- FreeFree
- AI-powered analytics
- APM
- Infrastructure monitoring
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Choose Dynatrace if
- You need ai-powered analytics.
- You want to start without paying.
- You work on Web, Api.
- You also want apm.
Questions people ask
- Is Amazon Redshift or Dynatrace better?
- Neither clearly leads. Amazon Redshift starts at Free and Dynatrace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Dynatrace?
- Amazon Redshift starts at Free and Dynatrace at Free.
- Does Amazon Redshift or Dynatrace run on more platforms?
- Amazon Redshift runs on Web. Dynatrace runs on Web, Api.
- Can I use Amazon Redshift for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Redshift best used for?
- Amazon Redshift is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Dynatrace is typically brought in for.
- What can Amazon Redshift do that Dynatrace cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Both handle Web support.
Answered from the vendors’ own pages
Amazon Redshift: What deployment options does Amazon Redshift offer?
Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.
SourceAmazon Redshift: What does Amazon Redshift cost?
Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.
SourceAmazon Redshift: Does Redshift work with data lakes?
Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.
SourceAmazon Redshift: Is there a free tier for Amazon Redshift?
AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.
SourceRelated pages
More on Amazon Redshift
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