Software · head to head
Amazon Redshift vs Databox
The short version
- Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; Databox data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
- They diverge on capability: Amazon Redshift covers Columnar Storage, Databox covers Pre-built Dashboards.
Where they differ
Only the attributes on which Amazon Redshift and Databox actually diverge.
| Attribute | Amazon Redshift | Databox |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web | Web, Mobile, Tv |
| Founded | 2012 | 2011 |
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 Databox
- Pre-built Dashboards
- Goal Tracking
- Alerts
- Scorecards
- Mobile App
- HubSpot
- Google Analytics
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Databox
- Data warehousingnot Databox
- Real-time analyticsnot Databox
- Reportingnot Databox
- Machine learningnot Databox
Databox
- Building business dashboards from multiple SaaS data sourcesnot Amazon Redshift
- Tracking KPIs and metrics across marketing, sales and finance toolsnot 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
Databox
- Data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
- The $64 Analyst plan is capped at 5 data sources and a single user
- The free plan allows 3 data sources, 10 custom metrics and one user
- AI credits are metered monthly, from 50 on free to 4,000 on Growth
- Every published price assumes annual billing, with monthly costing 20% more
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
Databox
Free- FreeFree
- 3 Data Sources
- Basic Features
- Community Support
- Starter$72/month
- 10 Data Sources
- Alerts
- Forecasting
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Choose Databox if
- You need pre-built dashboards.
- You want to start without paying.
- You work on Web, Mobile, Tv.
- You also want goal tracking.
Questions people ask
- Is Amazon Redshift or Databox better?
- Neither clearly leads. Amazon Redshift starts at Free and Databox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Databox?
- Amazon Redshift starts at Free and Databox at Free.
- Does Amazon Redshift or Databox run on more platforms?
- Amazon Redshift runs on Web. Databox runs on Web, Mobile, Tv.
- 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 Databox is typically brought in for.
- What can Amazon Redshift do that Databox cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. 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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