Database & Data Management · head to head
Amazon Redshift vs Kanbanize

Amazon Redshift
Database & Data Management
Fast, scalable cloud data warehouse from AWS
- From
- Free
- Rated
- -

Kanbanize
Project Management
Enterprise Kanban software for agile teams
- From
- On request
- Rated
- -
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; Kanbanize no per user price or minimum user count is published, despite the page being headed simple pricing
- They diverge on capability: Amazon Redshift covers Columnar Storage, Kanbanize covers Kanban boards.
Where they differ
Only the attributes on which Amazon Redshift and Kanbanize actually diverge.
| Attribute | Amazon Redshift | Kanbanize |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web | Web, Ios, Android |
| Category | Database & Data Management | Project Management |
Identical on both: user rating (Not yet rated), founded (2012).
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 Kanbanize
- Kanban boards
- Portfolio Kanban
- Workflow automation
- Analytics
- Timeline
- Jira
- Azure DevOps
- Slack
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Kanbanize
- Data warehousingnot Kanbanize
- Real-time analyticsnot Kanbanize
- Reportingnot Kanbanize
- Machine learningnot Kanbanize
Kanbanize
- Kanban boards and portfolio management for scaled agile teamsnot Amazon Redshift
- Linking strategy and OKRs to delivery workflowsnot 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
Kanbanize
- No per user price or minimum user count is published, despite the page being headed simple pricing
- Automation rules are a paid add on on both plans, capped at 300 on Standard
- SSO is a paid add on rather than included at either tier
- File storage is 100 GB on Standard against 1 TB on Enterprise, and API calls are capped on Standard without the limit being stated
- A dedicated cloud instance, IP whitelisting and 24/7 support are 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
Kanbanize
On request- Team$149/month
- 15 users
- Unlimited boards
- Kanban analytics
- EnterpriseFree
- Custom pricing
- SSO
- Advanced security
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Choose Kanbanize if
- You need kanban boards.
- You work on Web, Ios, Android.
- You also want portfolio kanban.
Questions people ask
- Is Amazon Redshift or Kanbanize better?
- Neither clearly leads. Amazon Redshift starts at Free and Kanbanize at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Kanbanize?
- Amazon Redshift has a free tier; the other does not. Paid plans start at Free for Amazon Redshift and On request for Kanbanize.
- Does Amazon Redshift or Kanbanize run on more platforms?
- Amazon Redshift runs on Web. Kanbanize runs on Web, Ios, Android.
- Can I use Amazon Redshift for free?
- Yes. Amazon Redshift has a free tier, so you can try it without paying. Kanbanize starts at On request.
- 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 Kanbanize is typically brought in for.
- What can Amazon Redshift do that Kanbanize cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Kanbanize covers Kanban boards, Portfolio Kanban, Workflow automation, Analytics. 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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