Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Frontegg
✓ verifiedFreemium
Low-code customer identity and access management (CIAM) platform handling authentication and user management for SaaS apps.
9.0K saves
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exa.ai
✓ verifiedFreemium
Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.
761K visits/mo1.7K saves
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Tinybird
✓ verifiedFreemium
Managed ClickHouse platform giving developers hosted ingestion and query APIs to ship real-time analytics products fast.
104K visits/mo
Pricing
No public pricing
Free: $0 (20,000 requests/mo)
Search: $7/1k requests
Contents: $1/1k pages
Deep Search: $12-15/1k requests
Monitors: $15/1k requests
Agent: $0.012-$1.00/run
No public pricing
Free: $0/mo (0.25 vCPUs, 1k requests/day, 10GB storage)
Developer: $49/mo (0.5 vCPUs, 25GB storage, 2 replicas)
Core features
- ✦Low-code CIAM identity layer
- ✦Authentication and authorization for SaaS apps
- ✦Self-service user and org management
- ✦Security across all product entry points
- ✦Agentic AI access layer (Agen.co)
- ✦Web search API tuned for agents
- ✦Full-page contents with token-efficient highlights
- ✦Asynchronous agents for deep research and enrichment
- ✦Structured outputs with grounded citations
- ✦Web monitors that track new events on a schedule
- ✦Zero data retention and SOC 2 Type II controls
- ✦Fully managed TiDB service
- ✦Easy deployment on AWS, Google Cloud, Azure, and Alibaba Cloud
- ✦Scalable and reliable MySQL-compatible database
- ✦Elastic scaling of storage, transactional, and analytical workloads
- ✦Robust security compliance (SOC 1/2/3, ISO 27001/27701, PCI DSS, GDPR, HIPAA)
- ✦Managed, hosted ClickHouse database
- ✦Sub-second SQL query APIs
- ✦Kafka and other data connectors
- ✦Safe, zero-downtime schema migrations
- ✦Git-based branching with zero-copy prod data
- ✦SOC 2 Type II enterprise security
Use cases
- →Adding login and auth to a SaaS product
- →Managing customer users and organizations at scale
- →Securing multiple product entry points
- →Exposing a product safely to AI agents
- →Give coding agents current docs and repo context
- →Power chatbots with real-time web answers
- →Enrich company and people data at scale
- →Monitor the web for fresh events
- →Building mission-critical applications requiring scalable and reliable databases
- →Managing and scaling transactional and analytical workloads
- →Deploying databases across multiple cloud providers and regions
- →Ensuring data security and compliance with industry standards
- →Building real-time analytics dashboards
- →Powering in-app usage or event analytics
- →Streaming Kafka topics into query-ready tables
- →Letting AI coding agents build and deploy analytics
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