Works With Your Stack
Seamless integration with tools you already use
Self-tuning database for agentic search and analytics workloads.
A unified, open source stack that blends search, analytics, and low-latency access at scale.
Built for the toughest log analytics challenges
Run in your own AWS, GCP, or Azure account. Full data sovereignty and compliance control.
90% lower TCO than Elasticsearch. Pay only for S3 storage and active compute.
Built for massive log volumes. Scale indexing and query compute independently.
Production-proven at Slack. SSO, RBAC, and compliance certifications available.
Traditional solutions force painful tradeoffs
Microservices and observability have exploded log data. Legacy solutions can't keep up economically.
Compliance requires years of retention. Per-GB storage costs become astronomical.
When incidents happen, every second counts. Search must be instant, not minutes.
Why teams are switching to KalDB
Cluster management, shard rebalancing, and capacity planning require dedicated teams.
Coupled compute and storage means over-provisioning. Scaling is slow and expensive.
Elastic's license changes left many teams scrambling for alternatives.
Years of patches and workarounds. Upgrading is painful and risky.
Query times degrade as data grows. Hot-warm architectures add complexity.
SaaS providers charge per-GB ingestion. Bills spike unpredictably.
Proprietary features trap your data. Migration becomes a major project.
SaaS means your logs leave your infrastructure. Compliance becomes complicated.
Not built for cloud-native. S3 is an afterthought, not a foundation.
Proven at scale across industries
Deploy in your own cloud account with full control. Meet compliance requirements without compromising on features.
Handle millions of events per second. Correlate logs, metrics, and traces across your entire infrastructure.
Detect threats and investigate incidents in real-time. Retain security logs for years at minimal cost.
Built for mission-critical workloads
Seamless integration with tools you already use
Built from the ground up for S3
KalDB decouples compute from storage to deliver cost-efficient search at scale. By leveraging S3 for durable storage and building indexes on-demand, you only pay for active compute and storage. Perfect for log-heavy workloads where retention is long but queries are sporadic.
Self-host KalDB with Docker or run in your cloud