C3 AI Platform is a platform for designing and deploying enterprise-scale machine learning applications. With a set of low-code development tools and native integrations to a wide array of data sources, C3 AI Suite aims to help enterprises turn raw data into forecasts, insights, and actions.
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Vertica Analytics Database
Score10 out of 10
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The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica was acquired and supported by OpenText, then sold to Rocket Software in 2026.
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Pricing
C3 AI Platform
Vertica Analytics Database
Editions & Modules
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Offerings
Pricing Offerings
C3 AI Platform
Vertica Analytics Database
Free Trial
No
No
Free/Freemium Version
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No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Features
C3 AI Platform
Vertica Analytics Database
Low-Code Development
Comparison of Low-Code Development features of C3 AI Platform and Vertica Analytics Database
For consultants like me, who are not interested in generic LLM's with very deployment costs and payback times, industry specific applications are essential. We are time-bound to deliver value to our clients whether it is improved productivity or revenue uplift, and for this particular reason C3 AI Platform is a particularly good choice.
Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
Managing large workloads (concurrent queries) is a bit challenging.
Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I’d give it 7.5/10. Its model-driven architecture is powerful for scaling enterprise AI, at pace but it definitely needs some heavy-lifting. The platform can be hard to grasp initially and the steep learning curve, makes change management very important. The framework can be a bit rigid for industry agnostic developers used to flexible, open-source tools. It is excellent for data orchestration but is not as lean as some of the low-code competitors.
I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
C3 AI Platform offers much faster deployment through pre-built, industry-specific apps, and comfortably beats the others when it comes to time to deployment and scalability. Palantir on the other hand requires heavy custom engineering. C3 AI Platform does lack the open-source flexibility of Databricks and the cloud native scale of Vertex. I would prefer C3 AI Platform for turnkey enterprise solutions, but for other use cases it can be a bit more complex vs the other three due to its "back-box" environment.
Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
