How is Sigma different from Qlik?

Qlik runs on an in-memory associative engine that loads data into its own layer for exploration. Sigma queries the cloud warehouse directly with no in-memory copy, so security and freshness stay at the source and there is no separate engine to size and maintain as data grows.

Does Sigma go beyond dashboards into apps and agents?

Yes. Sigma builds AI apps with writeback and runs agentic workflows on the warehouse alongside governed dashboards, under one control plane. Qlik centers on associative exploration and visualization, with action and write operations handled through add-ons, so the app-and-agent layer is a meaningful difference.

Is Sigma a good Qlik alternative?

For teams moving analysis onto a cloud warehouse, Sigma fits the architecture without loading data into a proprietary engine. Qlik's associative model is genuinely useful for free-form exploration, so the question is whether you want that model or a spreadsheet interface on live warehouse data.

Do I need to learn a scripting language for Sigma?

No. Qlik's load scripts and expression syntax take time to learn. Sigma uses spreadsheet formulas for everyday work, with SQL and Python available when needed, so the skills most analysts already have transfer directly.

How does Sigma handle scale compared to Qlik?

Qlik's in-memory engine scales with the memory you provision, which becomes a sizing and capacity exercise as data grows. Sigma pushes queries to the warehouse and uses its compute, so scale follows the warehouse you already run rather than a separate tier to manage.

Does Sigma support writeback like Qlik?

Sigma supports native writeback to the warehouse, so users enter and edit values inside a workbook for planning and operational workflows. Qlik addresses writeback mainly through add-ons and extensions, which adds moving parts.

Can we migrate from Qlik to Sigma?

Yes. Migrations point Sigma at the warehouse, rebuild the most-used Qlik apps on live data, and retire the in-memory reload process in favor of direct queries.

How is Sigma different from Qlik?

Qlik runs on an in-memory associative engine that loads data into its own layer for exploration. Sigma queries the cloud warehouse directly with no in-memory copy, so security and freshness stay at the source and there is no separate engine to size and maintain as data grows.

Does Sigma go beyond dashboards into apps and agents?

Yes. Sigma builds AI apps with writeback and runs agentic workflows on the warehouse alongside governed dashboards, under one control plane. Qlik centers on associative exploration and visualization, with action and write operations handled through add-ons, so the app-and-agent layer is a meaningful difference.

Is Sigma a good Qlik alternative?

For teams moving analysis onto a cloud warehouse, Sigma fits the architecture without loading data into a proprietary engine. Qlik's associative model is genuinely useful for free-form exploration, so the question is whether you want that model or a spreadsheet interface on live warehouse data.

Do I need to learn a scripting language for Sigma?

No. Qlik's load scripts and expression syntax take time to learn. Sigma uses spreadsheet formulas for everyday work, with SQL and Python available when needed, so the skills most analysts already have transfer directly.

How does Sigma handle scale compared to Qlik?

Qlik's in-memory engine scales with the memory you provision, which becomes a sizing and capacity exercise as data grows. Sigma pushes queries to the warehouse and uses its compute, so scale follows the warehouse you already run rather than a separate tier to manage.

Does Sigma support writeback like Qlik?

Sigma supports native writeback to the warehouse, so users enter and edit values inside a workbook for planning and operational workflows. Qlik addresses writeback mainly through add-ons and extensions, which adds moving parts.

Can we migrate from Qlik to Sigma?

Yes. Migrations point Sigma at the warehouse, rebuild the most-used Qlik apps on live data, and retire the in-memory reload process in favor of direct queries.

Why teams choose Sigma vs Qlik

Sigma is the enterprise leader in self-service analytics and operational workflows.

Book a demo Start a free trial

Live warehouse data, with no extracts or reloads
Sigma queries your warehouse directly, so there are no QVDs to build and no reloads to schedule.
Self-service without load scripts
Business users explore and build with spreadsheet formulas instead of waiting on scripted data loads.
Dashboards that become apps
Input Tables and actions write to the warehouse, so people act in the app instead of only reading it.

Fulfillment OpsSave as

Fulfillment

DC: All

On-time delivery

87.1%

8.7 ptsvs week 37

Orders shipped

48,210

3.2%vs week 37

Avg. days to ship

2.6

0.4 daysvs week 37

On-time delivery by week

Shipments by DC

DC	Shipped	On time
Reno	9,820	81.4%
Columbus	12,410	94.2%
Dallas	11,035	93.8%
Atlanta	8,760	95.1%
Allentown	6,185	96.0%
Phoenix	5,940	95.7%

Trusted by teams across industries

How Sigma and Qlik compare

As of March 26, 2026.

Operational ReportsQlikCan build basic crosstab table visualizations; requires placing dimensions on columns; Is a top culprit for performance issue with filters included.SigmaPixel-perfect paginated reporting designed for cloud-native workflows without desktop requirements. Design, generate, and distribute reports end-to-end at cloud scale.

Dashboard LayoutQlikFlexible dashboard creation; advanced customization requires more technical knowledge.SigmaFlexible, intuitive UI with granular control and easy-to-understand interfaces.

Administration & GovernanceQlikAccess security features through Qlik Management Console (QMC); however, configuration and management across hybrid environments can be complex.SigmaCloud-native security with row- and role-level controls simplifies user management and compliance.

Data ModelsQlikProprietary associative data model supports a wide range of data relationships, but requires significant time and technical effort to learn. SigmaGUI-based semantic layer for governed access.

Ad-hoc AnalysisQlikAd-hoc analysis through Associative Engine, but limited by memory constraints for large datasets, and lacks advanced tabular analysis capabilities.SigmaAdvanced tabular analysis and visualization on live data at cloud scale.

Pivot TablesQlikSupports pivot tables, but large data sets or complex analysis can limit performance.SigmaEnables dynamic data summarization and complex analysis. Easy multi-level groupings and customization.

LineageQlikIncludes native data lineage features via Qlik Cloud; Qlik Lineage Connector add-on needed to avoid limitations on how data is displayed across tools.SigmaDetailed view of data origin and transformations; each element is a data source.

Cloud Native PerformanceQlikQlik Cloud scales at low data volumes, but larger datasets require more RAM per app, leading to higher costs and hard technical limits.SigmaBuilt for the cloud; runs live queries on trillions of rows—no extracts.

Straight from the source

Sigma on G2 Sigma on Gartner Peer Insights

“Sigma has been the strongest BI platform that I've worked with for both flexibility and support. It is also extremely easy to build dashboards in Sigma. I've used it to migrate complex logic out of Qlik, configure row-level security across multiple clients with overlapping hierarchies, and build interactive dashboards backed by databricks.”
Data AnalystTransportation · Gartner Peer Insights (opens in a new tab)
“Live Cloud Integration: Sigma connects directly to our cloud data warehouse, giving us real-time access to fresh data without extracts or delays. … Writeback functionality: Unlike our prior BI tool, Sigma provides writeback functionality.”
Director of OperationsBanking · Gartner Peer Insights (opens in a new tab)
“The biggest win with Sigma is the UI/UX, it’s the first BI tool I’ve used that actually feels like a spreadsheet but scales like a cloud warehouse. Because it’s live-connected to Snowflake, I don’t have to wait for data extracts or worry about 'stale' reports; the Performance is as fast as the warehouse itself.”
Mid-Market (51-1000 emp.) · G2 (opens in a new tab)
“Sigma is a breath of fresh air compared to the BI tool we migrated from. In addition to basic BI tool capabilities, the UI and advanced functionality (like input tables) are huge draws.”
Director of Data and AnalyticsConsumer Goods · Gartner Peer Insights (opens in a new tab)
“Sigma has been positive for us overall. It gives business users a spreadsheet-like interface on top of our warehouse so that users can explore data, build dashboards and share insights without relying heavily on data engineering.”
Director of Data and AnalyticsInsurance (except health) · Gartner Peer Insights (opens in a new tab)
“Sigma’s AI assistant has become a complete game-changer for ad-hoc requests. It acts as an accurate, self-serve solver for non-technical users, freeing up our analytics team from fielding repetitive one-off questions.”
Cherry LinPrinciple Data Analytics, GTM · Enterprise (> 1000 emp.) · G2 (opens in a new tab)
“I like the structure of the licenses. With free viewer licenses, we can provide detailed visibility to thousands of field members and preserve paid licenses for our corporate users to explore data beyond what is built by the developers.”
Data AnalystServices (non-Government) · Gartner Peer Insights (opens in a new tab)

See Sigma in action

Live data

Live on your warehouse, with no extracts

Every query runs in your warehouse, so analysis reads current data at full detail. There are no extracts to schedule or reload, and drilling from a total to the rows behind it takes a click.

Digital Commerce

Digital commerce

WEB_EVENTS · 3,812,447,209 rows, live on the warehouse

Date range

Jan 1, 2023 – Oct 9, 2026

Channel

AllWebApp

Metro

All

Events

Every page view, cart, and order since 2023

Sessions

212.6M

18%vs last year

17.9 events per session

Device mix

iOS46%
Web33%
Android21%

Return rate

Target 7.0%

8.4%

Sessions by metro

Click a metro to filter

Conversion funnel

All metros

Page views2.96B17%↓

Product views504.9M46%↓

Add to cart231.9M31%↓

Checkout71.4M58%↓

Purchase41.2M

Events by day and hour

All metros, all years

Familiar formulas

We excel in the cloud

Analyze billions of rows of live warehouse data using spreadsheet formulas you already know. No stale extracts, row limits, or proprietary coding languages. Ask Sigma Assistant if you have a question.

Sales detail

Sales by region and product

Rolled up from 48,213,906 order lines

Region	Product	Sum of Revenue	Sum of Cost	Margin %
East	Laptops	$184,612,409	$141,238,774	23.5%
	Monitors	$72,418,236	$51,907,412	28.3%
	Docks	$31,806,551	$19,622,908	38.3%
	East total	$288,837,196	$212,769,094	26.3%
Central	Laptops	$121,344,870	$94,817,263	21.9%
	Monitors	$48,706,129	$35,588,417	26.9%
	Docks	$22,391,046	$14,066,372	37.2%
	Central total	$192,442,045	$144,472,052	24.9%
West	Laptops	$209,517,338	$158,326,045	24.4%
	Monitors	$88,143,702	$62,019,554	29.6%
	Docks	$39,228,815	$23,471,906	40.2%
	West total	$336,889,855	$243,817,505	27.6%
Total		$818,169,096	$601,058,651	26.5%

Captured decisions

Write directly back to your warehouse

If you know how to use a spreadsheet, you can safely capture data, run live scenarios, and trigger downstream workflows. Deploy Sigma Agents to fully automate those actions with a complete audit trail.

FY27 Headcount Plan

Total budget

$120.0M

4.8%vs FY26

Total forecast

$121.6M

1.3%vs budget

Departments with notes

6 of 12

1vs last week

FY27 Budget vs. Forecast

Edit data

	Department	Budget	Forecast	Notes	Last updated by	Last updated at
1	Engineering	$44,000,000	$45,184,600	Watch engineering backfills	Nora Kim	10/06/2026
2	Product	$9,000,000	$8,912,400		Nora Kim	10/06/2026
3	Design	$4,000,000	$4,063,250		Luis Ortega	10/07/2026
4	Support	$8,000,000	$7,431,800	Two senior hires slipped to Q1	Luis Ortega	10/07/2026
5	Marketing	$10,000,000	$10,486,900	Agency work moves in-house	Nora Kim	10/06/2026
6	Finance	$6,000,000	$5,978,150		Luis Ortega	10/07/2026
7	People	$5,000,000	$5,342,700	Recruiting adds two roles	Nora Kim	10/06/2026
8	Legal	$3,000,000	$2,961,400		Priya Shah	10/08/2026
9	IT	$7,000,000	$7,108,350		Nora Kim	10/06/2026
10	Operations	$11,000,000	$10,524,600	Holding two roles open	Luis Ortega	10/07/2026
11	Security	$4,000,000	$4,318,900	Above plan on contractors	Priya Shah	10/08/2026
12	Data	$9,000,000	$9,237,500		Priya Shah	10/08/2026

Governed AI

AI that works on the data you trust

Sigma Assistant answers questions and builds workbooks, and Sigma Agents take action on live warehouse data, with each person’s permissions applied to every step.

Configure agent

Hi there!

I'm here to help you configure your Renewal Risk agent. What would you like to adjust?

Add more data sources

How can I help you build your agent?

AI can make mistakes. Please double-check responses.

Renewal Risk

Flags renewal risk, explains the drivers, and alerts the account's CSM.

Data sourcesAccount Health

Tools

InstructionsNormal text ƒxGreeting

You are a Renewal Risk Agent for customer success managers.

Your Focus

Find accounts renewing in the next 120 days, rate their churn risk, and explain the drivers behind it.

Data

Use Account Health via database_execute_query for every risk question.

How to Respond

Lead with the accounts most at risk
Back every rating with usage and ticket data

Inherited controls

The security your warehouse already enforces

Sigma applies your warehouse roles and row- and column-level policies at query time. Version tags and workbook history show what changed, and who changed it, before it reaches everyone.

Store SalesStaging

Store sales

Q3 2026

Net sales

$12.4M

7.2%vs Q2 2026

Orders

184,000

4.8%vs Q2 2026

Avg. order value

$67.40

$1.60vs Q2 2026

Net sales by month

AprMayJunJulAugSep

Returns peak online

Return rate by channel, Q3 2026

Online
Marketplace
In store
Pickup

Avg. 5.1%

More reasons teams choose Sigma

Dashboards anyone can explore
Viewers filter, drill and pivot on the dashboard itself, down to row-level detail, so a new question doesn’t become a new request.
Pixel-perfect reports on live data
Rebuild paginated, print-ready reports on live warehouse data with Pixel Perfect Reporting, then schedule them out as PDF or Excel.
Analytics and apps inside your product
Embed live dashboards and apps in your own product, with each customer’s data kept apart by the same warehouse security.

Ready to move

Moving from Qlik

Guides for planning the move from Qlik and rebuilding on live warehouse data.

What teams build on Sigma

Live data, apps that write back, and agents, on the warehouse they already run

View all

30K+ users onboarded. 30% more queries.DoorDash Logs a 30% Increase in Queries while Keeping the Snowflake Cost Constant with Sigma

700+ active users. Days to Hours in time savings.Blackstone Leverages Sigma & Snowflake to Perform Data Analytics at Cloud Scale

91% active user adoption. 300+ concurrent ab tests.How Duolingo Democratized Data Access While Protecting Sensitive Information

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Sigma and Qlik FAQ

What teams ask when they compare Sigma with Qlik.

How is Sigma different from Qlik?
Qlik runs on an in-memory associative engine that loads data into its own layer for exploration. Sigma queries the cloud warehouse directly with no in-memory copy, so security and freshness stay at the source and there is no separate engine to size and maintain as data grows.
Does Sigma go beyond dashboards into apps and agents?
Yes. Sigma builds AI apps with writeback and runs agentic workflows on the warehouse alongside governed dashboards, under one control plane. Qlik centers on associative exploration and visualization, with action and write operations handled through add-ons, so the app-and-agent layer is a meaningful difference.
Is Sigma a good Qlik alternative?
For teams moving analysis onto a cloud warehouse, Sigma fits the architecture without loading data into a proprietary engine. Qlik's associative model is genuinely useful for free-form exploration, so the question is whether you want that model or a spreadsheet interface on live warehouse data.
Do I need to learn a scripting language for Sigma?
No. Qlik's load scripts and expression syntax take time to learn. Sigma uses spreadsheet formulas for everyday work, with SQL and Python available when needed, so the skills most analysts already have transfer directly.
How does Sigma handle scale compared to Qlik?
Qlik's in-memory engine scales with the memory you provision, which becomes a sizing and capacity exercise as data grows. Sigma pushes queries to the warehouse and uses its compute, so scale follows the warehouse you already run rather than a separate tier to manage.
Does Sigma support writeback like Qlik?
Sigma supports native writeback to the warehouse, so users enter and edit values inside a workbook for planning and operational workflows. Qlik addresses writeback mainly through add-ons and extensions, which adds moving parts.
Can we migrate from Qlik to Sigma?
Yes. Migrations point Sigma at the warehouse, rebuild the most-used Qlik apps on live data, and retire the in-memory reload process in favor of direct queries.

Why teams choose Sigma vs Qlik

Live warehouse data, with no extracts or reloads

Self-service without load scripts

Dashboards that become apps

How Sigma and Qlik compare

Straight from the source

See Sigma in action

Live on your warehouse, with no extracts

We excel in the cloud

Write directly back to your warehouse

AI that works on the data you trust

The security your warehouse already enforces

More reasons teams choose Sigma

Dashboards anyone can explore

Pixel-perfect reports on live data

Analytics and apps inside your product

Moving from Qlik

Migrate from Qlik to Sigma

Migrating from Qlik, step by step

The Qlik converter

What teams build on Sigma

Related resources

When Is It Time to Migrate BI Platforms? Watch for These 7 Key Indicators

Migrating BI Platforms Doesn’t Have to Be So Painful

7 Best Power BI Alternatives in 2026

Sigma and Qlik FAQ

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