

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In the first couple of years, I would not expect a return on investment because the initial setup will take more than a year if the process requires significant customization.
In my opinion, there's a positive return on investment.
I have seen a return on investment, especially in time saved for my clients; in the incident management process, the average cycle time for handling tickets was over ninety-eight hours, but after identifying root causes, such as tickets being held due to wrong group allocation, the cycle time reduced to approximately thirty-eight hours.
I have achieved a 30 to 40% reduction in time to go through the documentation because now I can ask a query from the chatbot, and it provides the result with the appropriate source link.
The task that was happening before developing this product was taking around one hour, but now it is done in hardly one or two minutes.
I have seen a return on investment with Pinecone, as the application we built received positive feedback from internal stakeholders about how much it's helping them make business decisions and access information quickly at their fingertips.
It took more than two weeks to receive a response.
Celonis customer support is really good; they investigate concerns thoroughly and provide solutions or troubleshooting steps, which I find helpful.
Other times I do not get much clarity on the support from the team.
The customer support of Pinecone is very good; you send an email and receive a response within a few hours, typically four to five hours.
I haven't needed support because the documentation is good enough to help developers get up to speed.
I would rate the customer support a nine out of ten.
I recall that when we started using Celonis, we had a space of five terabytes and around one thousand users, and Celonis managed all of that easily.
I recommend focusing on recent data or perhaps five years of historical data along with live data for better visibility and stability in the process.
At the moment, I'd rate scalability six or seven out of ten.
It splits vector data into shards, and each shard can be independently indexed and queried, helping with parallel query execution.
We are storing close to around 600K items or entries in the database, and our indexing and retrievals are within seconds, often in microseconds.
We've rolled out the early version as a beta access to a few, maybe twenty to thirty customers.
It's super stable.
Celonis is stable.
It is able to withstand the enormous data load and manage it effectively.
Ultimately, I need niche expertise, combining strong SAP knowledge with Celonis competency.
It is essential for the Celonis solution to have their services and solution models integrated with GenAI.
The most important area for improvement is the automation part.
When we started two years ago, there weren't any vector databases on AWS, making Pinecone a pioneer in the field.
In LangSmith, end-to-end API calls can be analyzed, showing what request came from the customer, what vector search was performed, what prompt was created, what call was given to the LLM, and what response was received from the LLM to the UI.
One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata.
I think it's relatively expensive, but it's also good.
Based on client feedback, I have heard that the pricing for Celonis is considered high.
creating a data model for one process will differ in cost if you add more data models for additional processes.
The setup cost for us is nil, and the licensing and pricing are pretty decent.
Pricing was handled by the procurement team, but it follows a usage-based pricing model, and I have to pay for storage, read operations, and write operations.
Celonis is also beneficial for its built-in apps that streamline tasks from legacy applications, facilitating daily operations and improving efficiency.
It provides a visualization of the process itself, giving a very good synthesis of performance and helping me find improvements.
It's the first solution that combines business competence and capabilities with technological capabilities.
The namespaces feature allows us to break down or store data for each user separately, reducing interference and maintaining privacy as an important feature.
Pinecone has positively impacted my organization by helping people in needle-in-a-haystack situations, as previously they had to grind through PDF documents, PowerPoint documents, and websites, but now with Pinecone, they can ask questions and receive references to documents along with the page numbers where that information exists, so they can use it as a reference or backtrack, especially for things such as FDA approvals where they can quote the exact page number from PDF documents, eliminating hallucination and providing real-time data that relies on an external vector database with enough guardrails to ensure it won't provide information not in the vector database, confining it to the information present in the indexes.
Pinecone, on the other hand, is pay-as-you-go on the number of queries. You only pay for the queries that you hit.
| Product | Mindshare (%) |
|---|---|
| Celonis | 0.5% |
| Pinecone | 0.5% |
| Other | 99.0% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
Celonis is the global leader in execution management. Powered by its process mining core, Celonis has evolved from its beginnings as a Process Mining company into an execution management pioneer, enabling companies to unlock execution capacity and perform at full potential. Celonis offers advanced technology in data execution, combining real-time process data, the intelligence to make sense of that data, and the execution capacity to take immediate, decisive action. Celonis’ Execution Management System makes data work for its customers by identifying inefficiencies and weaving interconnected processes together – thereby eliminating billions in corporate inefficiencies, empowering better business decisions and triggering the right actions automatically. Celonis is headquartered in Munich, Germany and New York City, USA and has 15 offices worldwide.
Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows.
Users find it particularly useful for similarity search, recommendation systems, and natural language processing.
Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.
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