Domo and Splunk Enterprise Platform compete in the data analytics and monitoring category. Domo has an advantage for its ease of use and accessibility for non-technical users.
Features: Domo offers user-friendly data visualization, adaptability for non-technical users, and collaborative tools that enhance process efficiency. Splunk Enterprise Platform provides comprehensive data analysis, real-time monitoring, and customizable dashboards.
Room for Improvement: Domo can be expensive, limiting accessibility for smaller companies, and lacks some advanced analytical capabilities. Splunk Enterprise Platform’s cost structure can be prohibitive without a large data volume, and it may require better training resources for new users.
Ease of Deployment and Customer Service: Domo is noted for its simplicity in deployment, making it accessible for larger rollouts with varied user skill levels. Splunk Enterprise Platform offers robust features but can be complex to configure, requiring strong customer support.
Pricing and ROI: Domo, though pricey, provides significant ROI with its ability to streamline processes, often justifying costs for larger enterprises. Splunk Enterprise Platform is considered expensive, especially for smaller businesses, with ROI heavily dependent on scale and effective data utilization strategy.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
While they eventually provide the correct answers, their support for smaller customers could be improved.
Sigma, which is written for Snowflake, scales more easily than Domo.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
Splunk Enterprise Platform is scalable to some extent, which is acceptable.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
End users require a license to run their own reports and dashboards, which are fairly expensive.
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.
It is complex for inexperienced cybersecurity engineers and requires experienced personnel to handle it effectively.
For future updates of Splunk Enterprise Platform, I would like to see integration by GUI.
Domo is expensive compared to other solutions.
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.
Splunk Enterprise Platform is expensive.
I have been using it for four years and have been able to extract the information I need from it.
Splunk's Machine Learning Toolkit is offered without charge, allowing users to incorporate machine learning in their business logic, aiding in procedures like threat hunting.
It saves time by allowing me to perform actions on a single platform instead of managing them separately.
The features that have proven most effective for real-time data analysis include parts of the platform and its automation capabilities.
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.
Find more information on The Business Cloud Here.
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.
