Databases · head to head
IBM Db2 vs Quadratic

IBM Db2
Databases
The AI-powered database built for demanding enterprise workloads
- From
- Free
- Rated
- -

Quadratic
Spreadsheets
Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid
- From
- Free
- Rated
- -
The short version
- Each has a real cost: IBM Db2 cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud; Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- They diverge on capability: IBM Db2 covers AI-powered Query Optimization, Quadratic covers Multi-language cells.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM Db2 and Quadratic actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 IBM Db2
- AI-powered Query Optimization
- Data Virtualization
- Advanced Compression
- pureScale Clustering
- BLU Acceleration
- Workload Management
- Federated Queries
- IBM Cloud
Only in Quadratic
- Multi-language cells
- Infinite canvas
- Direct database connections
- AI agent in the sheet
- WebAssembly engine
- Python package support
What people use each for
The jobs each tool is most often brought in to do.
IBM Db2
- Transaction processingnot Quadratic
- Data storagenot Quadratic
- Application backendnot Quadratic
- Reportingnot Quadratic
- Data analyticsnot Quadratic
Quadratic
- An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot IBM Db2
- Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot IBM Db2
- Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot IBM Db2
- Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot IBM Db2
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
IBM Db2
- Cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud
- Pricing complexity with hourly billing for compute and storage can result in unpredictable costs
- Less community support and documentation compared to open-source alternatives like PostgreSQL
- Requires IBM expertise and tools for optimal configuration and tuning
- Migration from mainframe Db2 to cloud Db2 requires careful planning and testing
Quadratic
- AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
- Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
- The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
- There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.
Pricing, plan by plan
IBM Db2
Free- Free TierFree
- Entry-level exploration
- Limited resources
- Standard$99/month
- Production-ready workloads
- Shared computing resources
- Enterprise$969/month
- Dedicated computing resources
- Enhanced capabilities
Quadratic
Free- PersonalFree
- Limited AI usage
- Limited files and connections
- Limited sharing
- Pro$18/month
- Billed annually
- 20 USD of AI credits per month
- Unlimited files
- Business$36/month
- Billed annually
- 40 USD of AI credits per month
- Advanced permissions
- Enterprise$undefined/year
- Quoted
- Self-hosting option
- Custom AI usage
Which should you pick?
Choose IBM Db2 if
- You need ai-powered query optimization.
- You want to start without paying.
- You work on IBM Cloud, On-premises (mainframe), Linux, UNIX.
- You also want data virtualization.
Choose Quadratic if
- You need multi-language cells.
- You want to start without paying.
- You work on Web, macOS, Windows, Linux.
- You also want infinite canvas.
Questions people ask
- Is IBM Db2 or Quadratic better?
- Neither clearly leads. IBM Db2 starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM Db2 or Quadratic?
- IBM Db2 starts at Free and Quadratic at Free.
- Does IBM Db2 or Quadratic run on more platforms?
- IBM Db2 runs on IBM Cloud, On-premises (mainframe), Linux, UNIX. Quadratic runs on Web, macOS, Windows, Linux.
- Can I use IBM Db2 for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is IBM Db2 best used for?
- IBM Db2 is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Quadratic is typically brought in for.
- What can IBM Db2 do that Quadratic cannot?
- IBM Db2 covers AI-powered Query Optimization, Data Virtualization, Advanced Compression, pureScale Clustering. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.
Answered from the vendors’ own pages
IBM Db2: What is IBM Db2?
IBM Db2 is a cloud-based relational database management system designed for enterprise data management. It evolved from IBM's research into relational databases in the 1970s and launched for mainframe systems in 1983.
SourceQuadratic: Do I need to know Python to use it?
No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.
IBM Db2: What are the pricing tiers for IBM Db2 cloud database?
IBM Db2 offers a perpetually free tier for exploration, Standard tier starting at $99/month (billed hourly), and Enterprise tier starting at $969/month (billed hourly). Storage costs $0.000282 per GB per hour across tiers.
SourceQuadratic: What happens when the AI credits run out?
Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.
IBM Db2: Does Db2 support automatic failover and disaster recovery?
Yes. Db2 includes HADR (High Availability Disaster Recovery) with multizone region support, point-in-time recovery, built-in self-service snapshots, and geo-replicated data recovery backups.
SourceQuadratic: Can it replace a BI tool?
Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.
IBM Db2: Can Db2 scale horizontally?
Yes. Db2 supports both vertical and horizontal scaling through its pureScale architecture, allowing it to handle growing data volumes while maintaining performance for mission-critical applications.
SourceQuadratic: Is my database query sent to the vendor?
Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.
IBM Db2: How long has DB2 been in production?
DB2 launched in June 1983 on the MVS operating system and has operated for over 40 years. It remains the foundational database for the largest enterprises globally, managing data for financial, retail, healthcare, and insurance institutions.
SourceRelated pages
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- Quadratic vs Apache Solr
- Quadratic vs Marqo
- Quadratic vs Solace PubSub+
- Quadratic vs TIBCO Enterprise Message Service
- Quadratic vs YugabyteDB
- Quadratic vs Zilliz
- Quadratic vs NATS
- Quadratic vs Azure SQL
- Quadratic vs Apache Flink
- Quadratic vs Metabase
- Quadratic vs Equals
- Quadratic vs Redash
- Quadratic vs Coefficient
- Quadratic vs Cube Software
- Quadratic vs Rowy
- Quadratic vs Zoho Sheet
- Quadratic vs Sigma Computing
- Quadratic vs Teable
- Quadratic vs Tableau
- Quadratic vs Looker
- Quadratic vs Fibery
- Quadratic vs Mathesar
- Quadratic vs SeaTable
