Introducing KalDB: Cloud-Native Search and Analytics
We’re excited to introduce KalDB, a cloud-native search and analytics engine for logs and events.
The Problem
Modern applications generate massive amounts of log data, but traditional log analytics tools are expensive and difficult to scale. You’re forced to choose between paying premium prices for managed services or managing complex infrastructure yourself.
Our Solution
KalDB is designed specifically for cloud-native log analytics:
- Decouple compute from storage for cost efficiency
- Store unlimited data in object storage (S3)
- Generate indexes on-demand for fast search
- Scale compute independently based on query load
By leveraging object storage and cloud-native architecture, KalDB delivers:
- Fast search with sub-second latency
- Unlimited storage at object storage prices
- Infinite scale without operational complexity
- Predictable costs that scale with usage
Perfect Use Cases
KalDB shines for:
- Application Logs: Debug and monitor applications at scale
- Security Analytics: Detect threats and investigate incidents
- Business Analytics: Query event data for product insights
- Observability: Unified search for logs, metrics, and traces
- Audit Logs: Long-term retention for compliance
Architecture Philosophy
We favor cloud-native architecture. KalDB decouples compute from storage to deliver cost-efficient search at scale. By leveraging object storage and on-demand indexing, we keep the system simple to operate and cost-effective.
What’s Next
We’re building KalDB in the open and would love your feedback. Whether you’re managing application logs, running security analytics, or building observability platforms, we’d love to hear about your use cases.
Stay tuned for more technical deep dives on our architecture, performance benchmarks, and best practices.