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AI · head to head

C3 AI Suite vs Weaviate

C3 AI Suite logo

C3 AI Suite

AI

Model-driven application platform for building enterprise AI on top of existing operational systems

From
On request
Free plan
No
Weaviate logo

Weaviate

Machine Learning

Open-source vector database

From
Free
Free plan
Yes

The short version

  • Only Weaviate has a free tier, so it costs nothing to try first.
  • Each has a real cost: C3 AI Suite the commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: C3 AI Suite covers Type system, Weaviate covers Vector and keyword search.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which C3 AI Suite and Weaviate actually diverge.

Attributes where C3 AI Suite and Weaviate differ
AttributeC3 AI SuiteWeaviate
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, LinuxLinux, Mac, Windows, Web
CategoryAIMachine Learning
FoundedUnknown2019

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in C3 AI Suite

  • Type system
  • Pre-built applications
  • Model lifecycle
  • C3 Generative AI
  • Multi-cloud deployment
  • FedRAMP and IL environments

Only in Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

What people use each for

The jobs each tool is most often brought in to do.

C3 AI Suite

  • A utility with decades of SCADA history wanting failure prediction on transformers without hiring a data science teamnot Weaviate
  • A defence agency needing an AI platform accredited for classified environments rather than a commercial SaaSnot Weaviate
  • An oil and gas operator consolidating condition data from OSIsoft PI, SAP and bespoke historians into one modelnot Weaviate
  • A bank building transaction monitoring where the vendor supplies both the models and the analysts who tune themnot Weaviate

Weaviate

  • Running a vector database for semantic and hybrid searchnot C3 AI Suite
  • Generating and storing embeddings alongside the objects they describenot C3 AI Suite

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

C3 AI Suite

  • The commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.
  • Applications are written against C3 proprietary types, so nothing built on the platform ports to a generic Spark or Databricks stack without a rewrite, which makes exit expensive after two or three years.
  • Contracts have historically been large multi-year commitments with a small number of very large customers, which means pricing is negotiated case by case and small buyers get little leverage.
  • Skills are scarce outside C3 itself, so hiring an engineer who already knows the platform is hard and the customer stays dependent on the vendor for extensions.
  • Pre-built applications need substantial configuration against the customer data model before they produce anything, so the marketing claim of a packaged app understates the integration work by months.

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

C3 AI Suite

On request
  • C3 AI Suite$undefined/year
    • Platform subscription sized by application and data volume
    • Paid pilot engagement typically precedes a subscription
    • Professional services quoted separately

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

Which should you pick?

Choose C3 AI Suite if

  • You need type system.
  • You work on Web, Linux.
  • You also want pre-built applications.

Choose Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.

Questions people ask

Is C3 AI Suite or Weaviate better?
Neither clearly leads. C3 AI Suite starts at On request and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, C3 AI Suite or Weaviate?
Weaviate has a free tier; the other does not. Paid plans start at On request for C3 AI Suite and Free for Weaviate.
Does C3 AI Suite or Weaviate run on more platforms?
C3 AI Suite runs on Web, Linux. Weaviate runs on Linux, Mac, Windows, Web.
Can I use Weaviate for free?
Yes. Weaviate has a free tier, so you can try it without paying. C3 AI Suite starts at On request.
What is C3 AI Suite best used for?
C3 AI Suite is most often used for a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team, a defence agency needing an ai platform accredited for classified environments rather than a commercial saas, an oil and gas operator consolidating condition data from osisoft pi, sap and bespoke historians into one model, a bank building transaction monitoring where the vendor supplies both the models and the analysts who tune them. Of those, a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team and a defence agency needing an ai platform accredited for classified environments rather than a commercial saas are not what Weaviate is typically brought in for.
What can C3 AI Suite do that Weaviate cannot?
C3 AI Suite covers Type system, Pre-built applications, Model lifecycle, C3 Generative AI. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.

Answered from the vendors’ own pages

C3 AI Suite: Does C3 publish pricing?

No. Everything is quoted, and the shape of the deal, pilot then subscription, means the first number you see is for a proof of value rather than the platform.

Weaviate: What pricing options does Weaviate offer?

Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.

Source
C3 AI Suite: Can it run in a classified environment?

Yes. C3 supports air-gapped and government cloud deployments, including FedRAMP-authorised environments, which is a large part of why defence buyers choose it.

Weaviate: Does Weaviate offer customer support?

Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.

Source
C3 AI Suite: Do we own the models we build?

You own the models and the data. The application logic is written in C3 types, so the artefacts are portable in principle and impractical to move in practice.

Weaviate: Can I deploy Weaviate on my own infrastructure?

Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.

Source
Weaviate: What data security features does Weaviate provide?

Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.

Source
Weaviate: How do I get started with Weaviate?

Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.

Source
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