

Qlik Sense and Splunk Enterprise Platform are competitors in the data analytics and business intelligence category. Qlik Sense seems to have the upper hand in user-friendly visualization tools, while Splunk excels in robust analytics and security features.
Features: Qlik Sense offers enhanced data profiling, powerful data preparation tools, and flexible in-memory data exploration. It has self-service capabilities and allows quick creation of complex visuals and dashboards. Splunk Enterprise Platform is valued for its comprehensive analytics, integration with various applications, and robust security features.
Room for Improvement: Qlik Sense could improve in real-time analytics, better data integration, and dashboard customization. Users suggest more statistical functions and a more intuitive scripting environment. Splunk Enterprise could offer more out-of-the-box monitoring solutions and reduce complexity for non-technical users, as well as provide more prebuilt dashboards and AI capabilities.
Ease of Deployment and Customer Service: Qlik Sense supports on-premises and private cloud deployments, offering flexibility for businesses. Customer service receives mixed reviews for slower response times. Splunk Enterprise supports on-premises and hybrid cloud deployments, suitable for larger organizations. Its customer service is rated well, though the platform's complexity can affect user experience. Splunk's support is considered expensive but technically capable.
Pricing and ROI: Qlik Sense is viewed as competitively priced, especially for larger organizations, though some find it costly compared to smaller alternatives. Its ROI is often quickly realized through improved decision-making. Splunk is seen as expensive, particularly for small to medium businesses. Its robust analytics justify the cost for many larger organizations, but achieving ROI may take longer due to initial expenses.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
Key impact areas are generally time saved in investigations, higher analyst productivity, lowered costs of security incidents due to faster detection and response, and reduced manual reporting effort.
Splunk Enterprise Platform helped reduce the time required to investigate incidents by centralizing logs and providing powerful search capabilities.
Splunk Enterprise Platform improved our reliability, and the time to investment ratio has been excellent.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Technical support requires improvement.
In Turkey, the consultant firms are very professional, and they support you.
We contacted support and they were able to provide us with the solution which is currently working fine.
It is crucial for anyone looking to deploy Splunk Enterprise Platform to first certify for their courses, such as the Splunk Administrator and the Power User Administrator certifications, which address all troubleshooting queries.
When we encounter issues, we utilize the Splunk community, which I believe showcases a big advantage of Splunk due to its strong community support.
It performs well in terms of performance and load compared to others.
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
Splunk allows for scalability, as you can start with an all-in-one instance and, as your deployment grows, split it into distributed deployment, such as separating the search head and indexers.
It is highly stable and scalable for us.
In a day we get millions of hits for the APIs.
The stability is very good.
Our L1 and L2 teams get real-time alerts and query the SPL effectively without delays that other SIEM solutions may impose.
It is highly stable and scalable for us.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
The deep learning capabilities need enhancing, especially on Splunk Cloud, where customers find it challenging to use deep learning tools without setting up backend computing resources.
I could also build some pre-indexed summaries so that Splunk Enterprise Platform can search much faster than raw logs.
From an architectural standpoint, data onboarding, normalization, performance, and scalability improvements would be beneficial, particularly in optimizing search speed and query execution to handle larger searches efficiently.
It is just about how expensive it is to implement.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
The pricing model is based on ingesting data sizes, not user count, and includes a free tier for up to 500 MB of daily data.
We ingest terabytes of data, so I can say Splunk Enterprise Platform is somewhat costly.
The platform's ability to consolidate siloed tools into a single pane of glass provides immense value justifying the premium cost if the architecture is tightly managed.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
The true power is in the ability to connect with any database, get the data, and work with the data.
Real-time data analysis can be performed, and collaboration with other team members is seamless.
Splunk Enterprise Platform also has its own Phantom as a SOAR, which is much more refined and gives more accurate results than any other AI integrated SIM tool.
The anomaly detection is very good for live production data. Whenever an anomaly comes in an application, it automatically resolves and just gives the notification.
Splunk Enterprise Platform will create an incident and detect this as a credential compromise because we have a successful login from another location.
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Platform | 1.4% |
| Qlik Sense | 4.9% |
| Other | 93.7% |


| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 89 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 8 |
| Large Enterprise | 43 |
Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.
Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.
What are the key features of Qlik Sense?In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.
Splunk Enterprise Platform provides high flexibility and integration, featuring strong analytics, data ingestion, and real-time monitoring, catering to diverse industry needs and enhancing threat detection and data analysis.
Splunk Enterprise Platform is renowned for its powerful capabilities in log management, threat detection, and data visualization. It supports infrastructure monitoring and anomaly detection, crucial for Security Incident and Event Management operations. With its scalable architecture, users can efficiently manage data ingestion and create personalized dashboards, utilizing Splunk Processing Language for comprehensive querying and system performance assessment. This platform offers enhanced threat detection through its robust anomaly detection features and real-time monitoring capabilities, with machine learning enabling predictive analytics.
What features make Splunk Enterprise Platform stand out?In industries like finance, healthcare, and technology, Splunk Enterprise Platform is implemented to monitor infrastructure, manage logs, and enhance security protocols. Companies utilize its predictive analytics for strategic planning and operational efficiency, focusing on integration with AWS, EDR, and firewalls for comprehensive data visualization and threat management.
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