QOps vs PlatformManager: Qlik DevOps Comparison

Last updated: October 2026

TL;DR: PlatformManager is an application lifecycle management (ALM) platform for Qlik, Power BI and SAP BusinessObjects, trusted by more than 320 companies. QOps is a PowerShell module with 72 commands for Git-based CI/CD, plus a local web Portal and an MCP server for AI assistants. Choose PlatformManager if you need several BI platforms in one tool and want releases and approvals managed in one place. Choose QOps if you want Git-native workflows and deployments that run from your CI/CD pipeline.



Overview

QOps and PlatformManager solve the same core problem: getting Qlik apps safely from development to production. They come from two different philosophies.

PlatformManager is a central platform. One installation provides version control, deployment automation and governance. Developers check an app out of PlatformManager, change it in Qlik, and publish it to other environments with a few clicks. It supports Qlik Sense, Qlik Cloud, QlikView, Qlik NPrinting, Power BI and SAP BusinessObjects. Its site says it is trusted by more than 320 companies and supported by more than 30 partners.

QOps lives in your Git workflow. It writes Qlik apps to readable files (YAML or JSON, the load script, a folder per object type), so you get Git version control, pull request reviews and automated pipelines. You drive it with 72 PowerShell commands, from the QOps Portal (a local web app started with QOps-StartPortal), or through an AI assistant over MCP. It fits into the DevOps tools you already have instead of adding a separate platform.


Feature Comparison

Version Control

PlatformManager: integrated version control. Track changes, compare two versions in a Difference Analysis (script, sheets, visuals, connections, extensions) and restore an item in two clicks. Its FAQ sets it apart from "manual scripting + Git": Git is good for source control, but BI content has objects and dependencies that are hard to move with manual scripts.

  • Strengths: check-out, history and restore in one place, difference reports for testers.

QOps: Git-native version control. Each app is split into files for sheets, dimensions, measures, variables and the load script. Standard Git workflows: branches, merges, pull requests, code review. The Portal adds a Git panel and a Diff view.

  • Strengths: no lock-in to one vendor's history, uses your existing Git provider, pull request reviews on readable files.
  • Design choice: QOps uses standard Git, so history lives in your own repositories. The Portal's Git panel covers the everyday steps for team members who are new to Git.

Bottom line: PlatformManager if you want version control managed inside one platform. QOps if you want Git-native workflows with pull request reviews.

Deployment & Release Management

PlatformManager: multi-environment deployment with release management, which groups related apps into one release to keep production consistent. Only reviewed and approved apps reach production, and flexible workflows can require tasks before an app is published. During deployment it can change data connections and reload the app, so apps need not be published with their data. It deploys to single or multiple Qlik Cloud tenants and spaces, handles extensions and mashups, and supports migration from Qlik Sense to Qlik Cloud.

  • Strengths: release management for groups of apps, approval workflows, multiple BI platforms in one place.

QOps: QOps-Build, QOps-Publish and QOps-Release run from a CI/CD pipeline or the Portal. Placeholders substitute environment-specific values at build time. Hook scripts in PowerShell can run before and after each command. QOps has documented setups for GitLab Runners and GitHub Actions, and any CI tool that can run PowerShell can call the commands. A webhook lets CI trigger Publish or Release on the Portal.

  • Strengths: fully automatable, fits your existing CI/CD, the same commands on a desk and on a runner.
  • Design choice: approvals and release grouping come from the Git and CI tools you already run (merge requests, protected branches, pipeline stages), so Qlik follows the same rules as the rest of your software.

Bottom line: PlatformManager for managed releases with built-in approvals. QOps for automated deployments driven by Git and CI.

Platform Coverage

Platform QOps PlatformManager
Qlik Sense client-managed Yes Yes
Qlik Cloud Yes Yes (hybrid or cloud only, single or multiple tenants)
QlikView Yes Yes
Other BI platforms Focused on Qlik Qlik NPrinting, Power BI, SAP BusinessObjects

Bottom line: PlatformManager covers more BI products. QOps goes deeper into Qlik itself, with readable source files and script-level diffs.

Data Lineage

PlatformManager: QVD data lineage that shows where QVDs are created and used, plus insight into the extensions, reload tasks and QVDs an app depends on.

QOps: the Portal's Lineage view draws an application as a graph: its sheets and objects, its master items and the data connections named in its load script. Through MCP, an AI assistant can also search your repositories, for example for the apps that use a given field.

Bottom line: if you need lineage down to individual QVD files across apps, PlatformManager offers it. QOps Lineage is built around app structure and data connections, next to the source you edit.

AI Features

PlatformManager: AI features are not listed on PlatformManager's site.

QOps: an MCP server lets an AI assistant read your repositories, change sheets, charts, master items, variables and load scripts in a live Qlik Sense or Qlik Cloud app, and run Prepare, Build, Publish and Reload. Use the Portal's Chat panel with your own Claude or Gemini API key, or connect Claude Desktop, Claude Code, Cursor or another MCP client.

Bottom line: if you want an AI assistant to work directly on your Qlik apps, QOps ships that today.


Pricing

PlatformManager QOps Community QOps Personal QOps Team QOps Enterprise
Pricing model Depends on setup and team size Free Per user, billed annually 10 licences, billed annually Quote
Price Not published €0 €75/month €600/month Quote
Trial 3 days of full access to a cloud server Free tier (only for GitHub Codespaces)
BI platforms All supported BI platforms, no extra user cost Qlik Sense, Qlik Cloud, QlikView Qlik Sense, Qlik Cloud, QlikView Qlik Sense, Qlik Cloud, QlikView Qlik Sense, Qlik Cloud, QlikView
AI assistant (MCP) Not listed Yes Yes Yes Yes

PlatformManager says all users are licensed for every supported BI platform without additional user costs. It does not publish prices; it can be bought directly or through its partners. QOps prices are published at qops.datalabsua.com.


Who Should Choose PlatformManager

PlatformManager is the right choice if:

  • You use several BI platforms (Qlik, Power BI, SAP BusinessObjects)
  • Your team prefers a managed platform to Git and the command line
  • You need release management for groups of apps, with approvals built in
  • QVD lineage and dependency insight matter to you today
  • You want a vendor with many published customer references

Ideal PlatformManager customer: a large organisation with several BI platforms that wants central ALM in one installation.


Who Should Choose QOps

QOps is built for teams who:

  • Want Git-native workflows with pull request reviews
  • Need deployments that run from their CI/CD pipelines
  • Value PowerShell scripting and automation
  • Want published, self-serve pricing
  • Want an AI assistant to work on their Qlik apps through MCP
  • Prefer open standards (Git) for their version history

Ideal QOps customer: a team that already uses Git and CI/CD for software and wants the same practice for Qlik.


Key Insight

Buyers tend to fall into two groups:

  • "We want a platform": PlatformManager (one place for versions, releases and approvals)
  • "We want DevOps": QOps (Git-native, commands, CI/CD pipelines)

Teams usually pick based on their technical culture. Some teams prefer a non-Git approach, and that is a fair choice. Teams that already run Git and CI for their software get the same practice for Qlik with QOps.

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Ready to try QOps?

Try QOps on your own Qlik apps: readable source files in Git, the same commands on your desk and on a CI runner, Qlik Sense, Qlik Cloud and QlikView, a local Portal and an MCP server.

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