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Prophecy vs Qdrant vs Voxeo Prophecy comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

Data Preparation Tools Mindshare Distribution
ProductMindshare (%)
Prophecy0.3%
Alteryx One17.1%
SAS Enterprise Guide7.4%
Other75.19999999999999%
Data Preparation Tools
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.4%
MySQL12.7%
PostgreSQL11.5%
Other71.4%
Open Source Databases
IVR Systems Mindshare Distribution
ProductMindshare (%)
Voxeo Prophecy6.2%
Cisco Unified Contact Center Express13.5%
Nuance IVR13.2%
Other67.1%
IVR Systems
 

Featured Reviews

MM
Data Measurement & Reporting Advisor at Evernorth/Cigna
Automated data collection has replaced manual emails and now connects business forms to back-end reports
Prophecy can be improved, as right now the form is very limited. We have to do a lot of manual entry with the form to get it set up. We have a lot of things that change year over year, so I have to go in there and manually play around with it, manually changing this and that. Having dynamic forms, having the forms connect to back-end data, and basically making the forms more streamlined would be my need from Prophecy. Everything else on the back end, the pipelines, and those types of things have been pretty easy to understand. I think once you get things set up, I've been very impressed with it. The only improvement at least for my side would be the form.
Pawel Cislo - PeerSpot reviewer
MLOps Engineer at a tech services company with 501-1,000 employees
Adaptive assistant has delivered faster grounded answers and has reduced token costs significantly
The main limitations I notice come down to developer experience and native features rather than performance. Building hybrid retrieval and fusion pipelines still requires considerable manual orchestration and code. Having more built-in multi-query fusion strategies natively inside Qdrant would be a significant time-saver. Additionally, managing dynamic metadata schemas and tracking index build progress during bulk ingest could be more transparent in the web UI. To make things easier for developers, Qdrant could provide more native tools for managing payload schema evolution over time. As metadata needs change in production RAG systems, updating existing payloads across large collections currently requires custom migration scripts. Built-in schema versioning and simpler automated index testing during CI/CD would make running Qdrant in rapidly evolving production environments even smoother. I rate Qdrant 9 out of 10 because its speed, sub-15 millisecond retrieval, and single-stage payload filtering make it top-tier for production RAG pipelines. I deduct one point mainly for developer experience. Setting up multi-query fusion still requires extra boilerplate code, payload metadata schema updates require custom migration scripts, and real-time visibility into HNSW graph indexing progress during bulk ingest could be improved in the web UI.
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Top Industries

By visitors reading reviews
Outsourcing Company
71%
Healthcare Company
17%
Manufacturing Company
4%
Construction Company
2%
Comms Service Provider
13%
Manufacturing Company
12%
Financial Services Firm
10%
Outsourcing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Prophecy?
My experience with Prophecy's pricing, setup cost, and licensing is that the tool can be expensive, and the licen...
What needs improvement with Prophecy?
I think performance could be improved, and I know that it recalculates all the time and puts warnings out. Perhaps th...
What is your primary use case for Prophecy?
My main use case for Prophecy is using it as an ETL layer for integrations into SAP's incentive management and te...
What is your experience regarding pricing and costs for Qdrant?
I find Qdrant's pricing and licensing extremely straightforward and cost-effective. The core product is open sour...
What needs improvement with Qdrant?
I do not have any suggestions for how Qdrant could be improved. So far, I like what has been done and I have used it ...
What is your primary use case for Qdrant?
My main use case for Qdrant is local AI development. A specific example of how I'm using Qdrant in my development...
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Comparisons

 

Also Known As

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Prophecy
 

Interactive Demo

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Overview

 

Sample Customers

JP Morgan Chase, Marks & Spencer, Ralph Lauren, Pfizer, Acxiom
1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
Zenith American Solutions, T-Mobile Netherlands, T-Mobile Austria, T-Mobile Czech Republic, T-Mobile Poland, Swisscom, Northern Ireland Electricity
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