ThoughtSpot and Splunk Enterprise Platform are competing in the realm of analytical software solutions. ThoughtSpot's emphasis on intuitive search-driven analytics offers an advantage for users seeking simplicity in data exploration, whereas Splunk's robust analytical capabilities cater to more complex and detailed data analysis and monitoring needs.
Features: ThoughtSpot provides search-driven analytics, AI-driven insights, and easy complex query execution. Splunk Enterprise Platform offers robust log management, comprehensive dashboards, and extensive data analysis capabilities.
Room for Improvement: ThoughtSpot could enhance data visualization options, improve integration capabilities with external data sources, and expand customization features. Splunk could benefit from simplifying its interface for less technical users, streamlining its deployment process, and reducing resource-intensive operations to enhance performance.
Ease of Deployment and Customer Service: ThoughtSpot features a straightforward deployment emphasizing rapid setup, with strong support services to assist in integration. Splunk Enterprise Platform's more complex deployment can be challenging, although its customer service is well-regarded, providing excellent support and guidance.
Pricing and ROI: ThoughtSpot often involves lower initial costs and delivers quick ROI with efficient query capabilities and minimal training. Splunk Enterprise Platform may demand a higher initial investment but offers long-term value, with its advanced analytics and monitoring justifying its cost over time, achieving significant ROI.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
ThoughtSpot saves a significant amount of time compared to other tools and is very user-friendly.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
The knowledge base for ThoughtSpot is less robust compared to others.
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products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.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.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
The upgrades are smooth with no downtime, which is super important.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
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.
I feel this can be improved in terms of performance.
Currently, it is not as customizable as the options available on Power BI or Tableau.
Handling governance when there are many models and dashboards is complex.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
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.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The features that have proven most effective for real-time data analysis include parts of the platform and its automation capabilities.
One valuable feature of Splunk Enterprise Platform is citizen programming, which allows users to manage and compute huge stream-based datasets easily using SPL language.
It saves time by allowing me to perform actions on a single platform instead of managing them separately.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
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.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.
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