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Spreadsheets · head to head

Looker vs Microsoft SQL Server

Looker logo

Looker

Spreadsheets

Modern business intelligence platform by Google

From
On request
Rated
-
Full reviewWebsite
Microsoft SQL Server logo

Microsoft SQL Server

Databases

Enterprise-grade relational database management system

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Microsoft SQL Server has a free tier, so it costs nothing to try first.
  • Each has a real cost: Looker no pricing published on website; quote-based model requires contacting Google Cloud sales; 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
  • They diverge on capability: Looker covers LookML Data Modeling, Microsoft SQL Server covers T-SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Looker and Microsoft SQL Server actually diverge.

Attributes where Looker and Microsoft SQL Server differ
AttributeLookerMicrosoft SQL Server
Starting priceOn requestFree
Free tierNoYes
PlatformsWeb, Cloud (Google Cloud Platform)Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure
CategorySpreadsheetsDatabases
Founded20081989

Identical on both: pricing model (Unknown), 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 Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift

Only in Microsoft SQL Server

  • T-SQL
  • ACID Compliance
  • Advanced Security
  • In-memory OLTP
  • Columnstore Indexes
  • Always On Availability
  • Machine Learning Services
  • Azure

What people use each for

The jobs each tool is most often brought in to do.

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Microsoft SQL Server
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot Microsoft SQL Server

Microsoft SQL Server

  • Transaction processingnot Looker
  • Data storagenot Looker
  • Application backendnot Looker
  • Reportingnot Looker
  • Data analyticsnot Looker

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Looker

  • No pricing published on website; quote-based model requires contacting Google Cloud sales
  • Pricing typically based on user count, deployment type, and feature requirements with no transparency

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

Pricing, plan by plan

Looker

On request

No published plan breakdown. See the Looker review.

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

Which should you pick?

Choose Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.
Looker review

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.
Microsoft SQL Server review

Questions people ask

Is Looker or Microsoft SQL Server better?
Neither clearly leads. Looker starts at On request and Microsoft SQL Server at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Looker or Microsoft SQL Server?
Microsoft SQL Server has a free tier; the other does not. Paid plans start at On request for Looker and Free for Microsoft SQL Server.
Does Looker or Microsoft SQL Server run on more platforms?
Looker runs on Web, Cloud (Google Cloud Platform). Microsoft SQL Server runs on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
Can I use Microsoft SQL Server for free?
Yes. Microsoft SQL Server has a free tier, so you can try it without paying. Looker starts at On request.
What is Looker best used for?
Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what Microsoft SQL Server is typically brought in for.
What can Looker do that Microsoft SQL Server cannot?
Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Microsoft SQL Server covers T-SQL, ACID Compliance, Advanced Security, In-memory OLTP.

Answered from the vendors’ own pages

Looker: How much does Looker cost?

Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.

Source
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.

Source
Looker: What are Looker's pricing tiers?

Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.

Source
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.

Source
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.

Source
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.

Source
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.

Source
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