Audyense
Qlik Sense
Analytics & BI · www.qlik.com/us/products/qlik-sense
Overview
Qlik Sense is Qlik's analytics and business intelligence platform, delivered as SaaS through Qlik Cloud Analytics and also available as a client-managed on-premises deployment. It loads and combines data from hundreds of sources via connectors and a scripting load editor, then indexes the relationships between values in its in-memory associative engine so every selection re-filters the whole model and surfaces both related and unrelated values. Users build interactive dashboards and sheets by drag and drop, and can query the data in plain language through Insight Advisor and Qlik Answers. The same content can be embedded into other applications, delivered to a native mobile app, or driven programmatically through documented REST APIs.
The problem Qlik Sense solves
Analytics teams at mid-size and large companies usually have data scattered across a warehouse, a CRM, an ERP and a pile of files, and business users end up waiting on IT for every new report. Qlik Sense addresses that by pulling those sources into one in-memory associative model where a single click re-filters everything and unrelated values stay visible, so analysts can explore ad hoc without pre-defining each query path. The trade-off reviewers consistently name is cost and a real learning curve, so it fits organisations with dedicated BI skills rather than a first-time analytics buyer.
Decision context
Use these points to test whether the product fits your operation, not just whether it has a long feature list.
- Published starting price: $300 per month for 10 users and 10 GB, billed annually. Confirm user, usage, and feature limits for the plan you would actually buy.
- Deployment: cloud, on_premise, hybrid. Check security, data-residency, and access requirements for every team that will use it.
- Verified integrations include Snowflake, Databricks, Google BigQuery, Amazon Redshift, Amazon Athena, Amazon S3. Validate sync direction and plan limits for the connections that matter.
- This record was last checked on 7/31/2026; pricing and features can change.
How to evaluate Qlik Sense
A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.
Workflow fit
The record describes it as a fit for Mid-market and enterprise BI teams that need to blend many disparate sources into a single governed model rather than report on one warehouse, Analysts doing open-ended exploration, where seeing which values are excluded by a selection matters as much as seeing what is included, Product and ISV teams embedding governed analytics into their own web applications via qlik-embed and the REST APIs. Check that this context matches the volume, roles, and processes your team needs it to support.
Pilot questions
- Can Qlik Sense complete the critical workflow without manual work outside the product?
- Do the recorded connections (Snowflake, Databricks, Google BigQuery, Amazon Redshift) support the sync direction, permissions, and volume we need?
- What user, usage, storage, support, or security limits appear after the headline starting price?
Evidence and freshness
This record was checked on 7/31/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.
Best for
- Mid-market and enterprise BI teams that need to blend many disparate sources into a single governed model rather than report on one warehouse
- Analysts doing open-ended exploration, where seeing which values are excluded by a selection matters as much as seeing what is included
- Product and ISV teams embedding governed analytics into their own web applications via qlik-embed and the REST APIs
Not a fit if
- Small teams or startups on a tight budget — entry pricing starts at $300/month billed annually and reviewers consistently flag total cost as high
- Organisations with no dedicated BI skills who want to be productive in a day; Qlik's load scripting and data modelling carry a real learning curve
Why it’s listed
- One of the longest-established enterprise BI platforms, repeatedly placed in Gartner's Analytics and BI Magic Quadrant and carrying 900+ G2 reviews and 1,500+ Gartner Peer Insights ratings
- Its associative in-memory model is a genuinely different query approach from the SQL-generating BI tools it competes with, which makes it a distinct option rather than a Power BI clone
- Covers the full category checklist in one product: dashboards, self-service authoring, natural-language querying, embedding, alerting, mobile and open REST APIs
Pricing
Starter
$300 per month for 10 users, billed annuallyEntry plan for small businesses, with a fixed 10 users and 10 GB of data for analysis.
- 10 users and a fixed 10 GB of data for analysis
- AI-powered analytics, Answers agents and MCP server access
- Hundreds of standard data-source connectors
- Interactive visualizations and dashboards
- No-code automation builder and automated report delivery
- 5 GB max app size, Qlik Community support
Standard
$825 per month for 25 GB, billed annuallyCapacity-based plan for small teams, priced on data volume with no per-user charge.
- Starts at 25 GB of data, expandable in 25 GB increments
- No cost for additional users
- Unstructured data and GenAI for deeper insights
- Managed and shared spaces for governance and collaboration
- Augmented advanced analytics
- 24x7 severity-1 support
Premium
$2,750 per month for 50 GB, billed annuallyOrganisation-wide plan adding predictive analytics and public access.
- Starts at 50 GB of data for analysis
- Predictive analytics powered by automated machine learning
- Additional GenAI capacity and Answers agents
- Anonymous (public) access to apps
- SAP data extraction and data lineage connectors
- 10 GB max app size and guided onboarding
Enterprise
Custom pricingQuote-only plan starting at 250 GB for large-scale deployments.
- Starts at 250 GB of data for analysis
- Scale for large customer deployments
- Greater included capacity for reporting and automations
- Greater included capacity for public access and AI Assistant
- Greater included capacity for machine learning models and datasets
Features
Integrations
Security & compliance
Pros & cons
Pros
- The associative engine lets users click through data freely and reveals unrelated as well as related values, which reviewers describe as more intuitive than query-by-query drilldowns
- Strong in-memory performance on large, multi-source data models once the model is built
- Broad connectivity — hundreds of documented connectors covering cloud warehouses, databases, SaaS apps, storage and REST/OData
- Deployment flexibility: the same product runs as Qlik Cloud SaaS, client-managed on-premises, or in a hybrid arrangement
Cons
- Licensing and total cost of ownership are the single most common criticism across review platforms
- Steep learning curve — the load script, data modelling and set analysis expressions need real training before users are self-sufficient
- The built-in chart library is seen as basic relative to competitors, pushing teams toward third-party extensions for richer visuals
- Performance and results degrade when the underlying model is poorly structured, and administration and security-rule configuration get complex at scale
What we found
Reviewers across G2, Capterra and Gartner Peer Insights repeatedly credit the associative engine and in-memory performance for making ad hoc exploration across many joined sources fast and genuinely self-service. The recurring complaints are licensing cost, a steep ramp for anyone new to Qlik scripting, and a native chart library that many teams end up extending with third-party visual extensions.
Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.
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