Hubble and Splunk Enterprise Platform are competing products in the data management solutions category. Data comparisons suggest that Splunk Enterprise Platform has the upper hand due to its comprehensive features that justify the higher investment.
Features: Hubble is valued for its integration with ERP systems, financial management capabilities, and quick report generation. In contrast, Splunk Enterprise Platform is recognized for its powerful data analysis tools, scalability, and security features.
Room for Improvement: Hubble could benefit from expanding its data analysis capabilities beyond financial data. Splunk Enterprise Platform might improve in simplifying its deployment process and reducing costs. Additionally, both products could enhance user interface intuitiveness to further ease user adoption.
Ease of Deployment and Customer Service: Hubble provides straightforward deployment with robust customer support, suitable for financial data environments. Splunk Enterprise Platform, while offering extensive customer support, involves a more complex deployment due to its wide-ranging functionalities tailored for large-scale data environments.
Pricing and ROI: Hubble offers low initial setup costs and a favorable ROI, appealing to budget-conscious buyers. Splunk Enterprise Platform requires a higher initial investment but delivers significant ROI through enhanced data insight capabilities.
| Product | Market Share (%) |
|---|---|
| Splunk Enterprise Platform | 1.6% |
| Hubble | 1.0% |
| Other | 97.4% |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 1 |
| Large Enterprise | 23 |
Explore data of any type and value — no matter where it lives in your data ecosystem.
Drive business resilience by monitoring, alerting and reporting on your operations.
Create custom dashboards and data visualizations to unlock insights from anywhere — in your operations center, on the desktop, in the field and on the go.
Use data from anywhere across your entire organization so you can make meaningful decisions fast.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
