For over a decade, Elasticsearch has been the cornerstone of log analytics. It’s powerful, flexible, and widely adopted. But if you’ve run it in production, you know this power comes with a price, both in dollars and in engineering hours.

Elasticsearch wasn’t built for observability. It was built for search. And as logs, traces, and metrics converge into real-time debugging pipelines, teams are discovering the cracks.

That’s where SigLens steps in with speed, scale, and simplicity built specifically for the modern observability stack.

Elasticsearch: Powerful But Painful

Let’s be clear, Elasticsearch is still a solid tool. But for log analytics at today’s scale, it's starting to show its age.

Heavy indexing overhead leads to massive infra costs.
Query latency spikes as data volume grows.
Complex tuning and maintenance drain valuable engineering time.
Storage bloat from duplicated indexes and replicas.
Painful scale-ups requiring clusters, sharding, and downtime risk.

For small projects or simple use cases, it works fine. But modern systems demand sub-second visibility across millions of logs without hiring a full-time search engineer.

Meet SigLens: Log Analytics Engineered for Real-Time Speed

SigLens is built with one core principle: Logs should be fast, cheap, and easy—at any scale. No more duct-taping dashboards or babysitting clusters.

Here’s what makes it different:

⚡️Sub-Second Query Speed: No Indexing Required

Unlike Elasticsearch, which relies on indexing everything upfront, SigLens uses a stream-first architecture that supports real-time queries on live or historical data without costly pre-processing.

💰 Up to 80% Lower Infra Costs

SigLens’s compression-first design drastically reduces storage and compute costs. No giant indexes. No hot/warm/cold tiers to manage.

🧠 Simpler Setup, Zero Tuning

Say goodbye to fiddling with shards, replicas, or JVM settings. SigLens auto-scales with your data and works out-of-the-box.

🛠️ Dev-Friendly, B2D-Native

SigLens is API-first, CLI-supported, and integrates seamlessly with tools like Grafana, Prometheus, and Fluentd. Built for engineers who value speed and clarity over complexity.

SigLens vs. Elasticsearch: The Real Breakdown

Why SigLens Is the Right Move

Elasticsearch will always have its place. But if your use case is real-time log analytics, with a need for speed, scale, and cost-efficiency, then SigLens is the purpose-built solution you’ve been looking for.

💥 No more slow queries or dead dashboards

💸 No more burning money on hot nodes and replica sets

🧘 No more late-night tuning sessions

Ready to Make the Switch?

Whether you're hitting scale issues or just tired of overpaying for observability, SigLens is built for teams like yours.

Try SigLens

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