Software · head to head
Amazon Redshift vs Paragon
The short version
- Only Amazon Redshift has a free tier, so it costs nothing to try first.
- Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; Paragon no price is published for either plan, and both require a quote
- They diverge on capability: Amazon Redshift covers Columnar Storage, Paragon covers Embedded workflows.
Where they differ
Only the attributes on which Amazon Redshift and Paragon actually diverge.
| Attribute | Amazon Redshift | Paragon |
|---|---|---|
| Starting price | Free | $299/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web | Web, Embedded |
| Founded | 2012 | 2021 |
Identical on both: 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 Paragon
- Embedded workflows
- Native integrations
- Workflow builder
- Error handling
- Monitoring
- Analytics
- Webhooks
- 500+ apps
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Paragon
- Data warehousingnot Paragon
- Real-time analyticsnot Paragon
- Reportingnot Paragon
- Machine learningnot Paragon
Paragon
- Embedding third party integrations into a SaaS productnot Amazon Redshift
- Managing customer facing connectors without building each onenot 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
Paragon
- No price is published for either plan, and both require a quote
- Cost scales with the number of customer tenants using the integrations, so the bill follows an end customer count rather than the vendor's own usage
- SAML SSO, self hosting, dynamic field mapping and SLAs are all Enterprise only
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
Paragon
$299/month- Starter$299/month
- 50 integrations
- Basic support
- Growth$999/month
- 200 integrations
- Priority support
- Enterprise$5000/month
- Unlimited integrations
- Dedicated support
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Choose Paragon if
- You need embedded workflows.
- You work on Web, Embedded.
- You also want native integrations.
Questions people ask
- Is Amazon Redshift or Paragon better?
- Neither clearly leads. Amazon Redshift starts at Free and Paragon at $299/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Paragon?
- Amazon Redshift has a free tier; the other does not. Paid plans start at Free for Amazon Redshift and $299/month for Paragon.
- Does Amazon Redshift or Paragon run on more platforms?
- Amazon Redshift runs on Web. Paragon runs on Web, Embedded.
- Can I use Amazon Redshift for free?
- Yes. Amazon Redshift has a free tier, so you can try it without paying. Paragon starts at $299/month.
- 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 Paragon is typically brought in for.
- What can Amazon Redshift do that Paragon cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Paragon covers Embedded workflows, Native integrations, Workflow builder, Error handling. 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
Keep looking
Other head to heads
- Amazon Redshift vs Cockroach Labs
- Amazon Redshift vs PostgreSQL
- Amazon Redshift vs Airtable
- Amazon Redshift vs Amazon Aurora
- Amazon Redshift vs Elasticsearch
- Amazon Redshift vs PlanetScale
- Amazon Redshift vs Azure SQL
- Amazon Redshift vs ClickHouse
- Amazon Redshift vs Couchbase
- Amazon Redshift vs DuckDB
- Amazon Redshift vs DynamoDB
- Amazon Redshift vs MariaDB
- Amazon Redshift vs Oracle Database
- Amazon Redshift vs Amazon RDS
- Amazon Redshift vs Apache Druid
- Amazon Redshift vs Cassandra
- Amazon Redshift vs CouchDB
- Amazon Redshift vs Firebolt
- Amazon Redshift vs Microsoft Power Automate
- Amazon Redshift vs n8n
- Amazon Redshift vs Zapier
- Amazon Redshift vs MuleSoft
- Amazon Redshift vs Parabola
- Amazon Redshift vs Zapier Plus
- Amazon Redshift vs Jitterbit
- Amazon Redshift vs mParticle
- Amazon Redshift vs RudderStack
- Amazon Redshift vs Workato
- Amazon Redshift vs Airbyte
- Amazon Redshift vs Automate.io
- Amazon Redshift vs Boomi
- Amazon Redshift vs Browser Use
- Amazon Redshift vs Browserbase
- Amazon Redshift vs Celigo
- Amazon Redshift vs Census
- Amazon Redshift vs CrewAI
- Paragon vs Cockroach Labs
- Paragon vs PostgreSQL
- Paragon vs Airtable
- Paragon vs Amazon Aurora
- Paragon vs Elasticsearch
- Paragon vs PlanetScale
- Paragon vs Azure SQL
- Paragon vs ClickHouse
- Paragon vs Couchbase
- Paragon vs DuckDB
- Paragon vs DynamoDB
- Paragon vs MariaDB
- Paragon vs Oracle Database
- Paragon vs Amazon RDS
- Paragon vs Apache Druid
- Paragon vs Cassandra
- Paragon vs CouchDB
- Paragon vs Firebolt
- Paragon vs Microsoft Power Automate
- Paragon vs n8n
- Paragon vs Zapier
- Paragon vs MuleSoft
- Paragon vs Parabola
- Paragon vs Zapier Plus
- Paragon vs Jitterbit
- Paragon vs mParticle
- Paragon vs RudderStack
- Paragon vs Workato
- Paragon vs Airbyte
- Paragon vs Automate.io
- Paragon vs Boomi
- Paragon vs Browser Use
- Paragon vs Browserbase
- Paragon vs Celigo
- Paragon vs Census
- Paragon vs CrewAI


