

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.
I have seen a return on investment from using Splunk Enterprise Platform, illustrated by tracking how the daily data volume has been indexed, the estimated cost, the monthly actual report, and the annual report.
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.
Based on our implementation in one project, we are trying to raise more funding to expand its use.
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments.
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.
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 customer support for ThoughtSpot is very proactive and supportive, available 24/7.
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.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
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.
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.
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.
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.
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.
We ingest terabytes of data, so I can say Splunk Enterprise Platform is somewhat costly.
Splunk Enterprise Platform is expensive.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The pricing, setup cost, and licensing for ThoughtSpot are competitive.
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.
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.
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Platform | 1.5% |
| ThoughtSpot | 2.6% |
| Other | 95.9% |


| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 4 |
| Large Enterprise | 27 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
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.
ThoughtSpot offers analytics through a user-friendly interface, empowering non-technical users to explore data swiftly with AI-driven insights and search-based analytics, making data access and modeling efficient.
ThoughtSpot is designed for intuitive data exploration, enabling users to generate custom analytics and reports without deep technical expertise. Its strength lies in natural language processing, scalability, and seamless data connectivity. Customizable dashboards and interactive visualizations help organizations in effective decision-making. The emphasis on self-service analytics supports real-time data queries and enhanced data modeling. While popular for its quick insights, users note a steep learning curve and complex UI, seeking more customization options, better connectivity, and visualization features. Price and usability challenges, along with desires for improved dashboard stability and integration, are noted for large enterprise deployments.
What are ThoughtSpot's key features?Industries leverage ThoughtSpot for self-service analytics, driving marketing, sales, and business intelligence operations. Companies benefit from its real-time data connectivity with modern data cloud platforms, enhancing internal operations through scalable data analysis. Non-technical users are empowered to perform ad-hoc analysis, data exploration, and visualize KPIs, optimizing strategic workflows across sectors.
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