Exabeam vs Weaviate

Side-by-side comparison to help you choose the best tool.

Exabeam

paid

Data & Analytics

4.4 / 5.0

AI-driven security information and event management platform with behavioural analytics that detects insider threats and account compromise through user behaviour baselining. Exabeam builds timelines of user and entity activity to surface anomalous behaviour that traditional rule-based SIEM systems miss. The platform automates investigation and response through pre-built playbooks and smart timelines.

Best for: Security operations teams focused on insider threat detection and user behaviour analytics

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Weaviate

freemium

Data & Analytics

4.5 / 5.0

Weaviate is an open-source vector database that combines vector search with structured filtering, making it ideal for building production AI applications. It natively supports text, image, and multimodal embeddings, integrates directly with popular embedding models from OpenAI, Cohere, and Hugging Face, and offers both cloud-managed and self-hosted deployment options - giving teams maximum flexibility for RAG and semantic search systems.

Best for: AI engineers who want an open-source vector database with multimodal support and the flexibility to self-host or use managed cloud

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Feature Comparison

Feature	Exabeam	Weaviate
Pricing	paid	freemium
Category	Data & Analytics	Data & Analytics
Rating	★★★★☆ 4.4	★★★★½ 4.5
Best For	Security operations teams focused on insider threat detection and user behaviour analytics	AI engineers who want an open-source vector database with multimodal support and the flexibility to self-host or use managed cloud
Views	33	36

Pros & Cons — Exabeam

Pros

Excellent insider threat and account compromise detection
Smart timelines dramatically speed up investigations
Strong integration with existing security tools

Cons

Requires significant data ingestion for accurate baselines
Complex initial configuration and tuning process

Pros & Cons — Weaviate

Pros

Open-source with self-hosting option
Native support for multimodal data
Strong hybrid search capabilities

Cons

More setup required than fully managed alternatives
Documentation can be complex for beginners

Key Features — Exabeam

User and entity behaviour analytics (UEBA)
Smart timeline investigation views
AI-powered threat detection rules
Automated incident response playbooks
Cloud-native SIEM capabilities

Key Features — Weaviate

Open-source vector database
Native multimodal embedding support
Hybrid search (vector + keyword)
Built-in embedding model integrations
Self-hosted or managed cloud

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