Databases · head to head
Microsoft SQL Server vs Sigma Computing

Microsoft SQL Server
Databases
Enterprise-grade relational database management system
- From
- Free
- Rated
- -

Sigma Computing
Spreadsheets
Spreadsheet-style analytics that queries a cloud data warehouse directly with no extract layer
- From
- On request
- Rated
- -
The short version
- Only Microsoft SQL Server has a free tier, so it costs nothing to try first.
- Each has a real cost: Microsoft SQL Server licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements; Sigma Computing every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
- They diverge on capability: Microsoft SQL Server covers T-SQL, Sigma Computing covers Spreadsheet interface over SQL.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Microsoft SQL Server and Sigma Computing actually diverge.
| Attribute | Microsoft SQL Server | Sigma Computing |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Unknown | quote |
| Free tier | Yes | No |
| Platforms | Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure | Web |
| Category | Databases | Spreadsheets |
| Founded | 1989 | Unknown |
Identical on both: 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 Microsoft SQL Server
- T-SQL
- ACID Compliance
- Advanced Security
- In-memory OLTP
- Columnstore Indexes
- Always On Availability
- Machine Learning Services
- Azure
Only in Sigma Computing
- Spreadsheet interface over SQL
- No extract layer
- Input tables and write-back
- Workbooks
- Embedded analytics
- Version control and dbt awareness
What people use each for
The jobs each tool is most often brought in to do.
Microsoft SQL Server
- Transaction processingnot Sigma Computing
- Data storagenot Sigma Computing
- Application backendnot Sigma Computing
- Reportingnot Sigma Computing
- Data analyticsnot Sigma Computing
Sigma Computing
- A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot Microsoft SQL Server
- An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Microsoft SQL Server
- Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Microsoft SQL Server
- Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot Microsoft SQL Server
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Microsoft SQL Server
- Licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements
- Performance monitoring toolset is insufficient for hybrid cloud environments requiring real-time analytics across multiple deployment types
- Heavy I/O resource consumption can saturate disk volumes and degrade performance when processing large transaction workloads
- Always On availability groups with up to 8 secondary replicas are limited to Enterprise edition only; Standard supports only basic availability groups with 2 replicas
- CPU and memory scaling is capped at 4 sockets or 32 cores on Standard edition, limiting deployments requiring higher compute capacity
Sigma Computing
- Every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
- It cannot work without a supported cloud data warehouse, so an organisation running analytics on an on-premises database or a plain application database has nothing to connect to.
- Pricing is not published and seats are differentiated by capability, so budgeting requires a sales cycle and a headcount forecast before you can compare it with a tool you could simply buy.
- Performance is only as good as the warehouse behind it, which means slow or badly modelled tables surface as a slow interface and the fix is a data engineering project, not a Sigma setting.
- Statistical and scientific visualisation is limited compared with dedicated tools, so anything beyond standard business charting has to be done elsewhere and brought back in.
Pricing, plan by plan
Microsoft SQL Server
Free- ExpressFree
- 4 cores maximum
- 1.4 GB memory per instance
- 50 GB database size limit
- DeveloperFree
- All Enterprise features
- Non-production use only
- Standard$3945/per 2-core pack
- 32 core maximum per instance
- 256 GB buffer pool memory
- Basic availability groups with 2 replicas
- Enterprise$15123/per 2-core pack
- Unlimited scaling
- Always On with up to 8 secondaries
- Advanced security and HA features
Sigma Computing
On request- Sigma Computing$undefined/year
- Quoted per organisation
- Seat types are differentiated by whether a user views, explores or authors
- Warehouse compute is billed separately by your cloud data warehouse vendor
Which should you pick?
Choose Microsoft SQL Server if
- You need t-sql.
- You want to start without paying.
- You work on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
- You also want acid compliance.
Choose Sigma Computing if
- You need spreadsheet interface over sql.
- You also want no extract layer.
Questions people ask
- Is Microsoft SQL Server or Sigma Computing better?
- Neither clearly leads. Microsoft SQL Server starts at Free and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Microsoft SQL Server or Sigma Computing?
- Microsoft SQL Server has a free tier; the other does not. Paid plans start at Free for Microsoft SQL Server and On request for Sigma Computing.
- Does Microsoft SQL Server or Sigma Computing run on more platforms?
- Microsoft SQL Server runs on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure. Sigma Computing runs on Web.
- Can I use Microsoft SQL Server for free?
- Yes. Microsoft SQL Server has a free tier, so you can try it without paying. Sigma Computing starts at On request.
- What is Microsoft SQL Server best used for?
- Microsoft SQL Server is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Sigma Computing is typically brought in for.
- What can Microsoft SQL Server do that Sigma Computing cannot?
- Microsoft SQL Server covers T-SQL, ACID Compliance, Advanced Security, In-memory OLTP. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.
Answered from the vendors’ own pages
Microsoft SQL Server: What is the pricing model for SQL Server?
SQL Server uses core-based licensing with per-2-core pack pricing. Enterprise Edition costs approximately $15,123 per 2-core pack (minimum 8 cores). Standard Edition costs approximately $3,945 per 2-core pack. Developer and Express editions are free. Software Assurance adds 25-35% annually for upgrades and support.
SourceSigma Computing: Does Sigma store a copy of my data?
No. Queries are executed on your warehouse and results are returned for display, which is why there is no extract refresh to manage.
Microsoft SQL Server: Does SQL Server run on Linux?
Yes. SQL Server 2017 and later run on Linux (Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu), Docker containers, and Windows with feature parity including Always On availability groups, Active Directory authentication, and encryption.
SourceSigma Computing: What does it actually cost?
The vendor does not publish prices. Expect an annual contract priced by seat type, plus a warehouse compute increase you should model separately.
Microsoft SQL Server: Is there a free edition of SQL Server?
Yes. SQL Server Express is free and includes all functionality of Enterprise edition for development and testing, with limits of 4 cores, 1,410 MB memory per instance, and 50 GB per database. Developer edition is also free for non-production use.
SourceSigma Computing: Can business users break the warehouse?
They can run expensive queries. Warehouse sizing, query limits and materialised tables are the controls, and they need configuring before a wide rollout.
Microsoft SQL Server: Can SQL Server be deployed offline?
Yes. SQL Server can be installed from offline media on machines without internet access. Microsoft provides complete offline installation packages for SQL Server, SSMS, and supporting components, making deployment in isolated or air-gapped environments feasible.
SourceSigma Computing: Is it a replacement for a modelling layer like dbt?
No. Sigma works best on top of modelled tables and is usually deployed alongside dbt rather than instead of it.
Microsoft SQL Server: What high availability options does SQL Server provide?
SQL Server offers Always On availability groups (Enterprise only), Always On failover cluster instances, database mirroring, log shipping, and for disaster recovery, failover servers in Azure and Accelerated Database Recovery for faster recovery after failures.
SourceRelated pages
More on Microsoft SQL Server
More on Sigma Computing
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