Tired of babysitting OpenSearch?

Fully managed at self-hosted cost, Cursor-like debugging.

✓

Oodle can help you if

✓Your OpenSearch cluster can't keep up with your scale
✓You're losing engineering cycles maintaining OpenSearch clusters
✓Your queries time out or are painfully slow
✓You want AI-native debugging instead of manual log hunting

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Oodle is probably not for you if

—You use OpenSearch for search / security analytics use-cases
—You like using separate tools for metrics, logs & traces
—You don't want to reduce your costs
—You still want to debug issues without AI assistance

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What real users are saying...

Real feedback from our customers and OpenSearch forums.

Ingestion Fails Under Load: 429s & Timeouts

Ingestion fails with 429 errors, nodes disconnect, and ingestion becomes slow with frequent timeouts when traffic spikes.

"OpenSearch ingestion is slow and timeouts are occurring very frequently. Nodes keep disconnecting when ingest data increases"

— OpenSearch Forum

Slow queries & query failures

Queries blow heap memory, circuit breakers trip constantly, and sporadic OOMs require constant JVM tuning.

"OpenSearch queries are slow"

— Zaggle

Endless Operational Overhead

Shard allocation failures, cluster tuning, and 2-3 hour recovery times consume your team.

"Shard allocation failure due to negative free space calculation. "

— OpenSearch Forum

Managed OpenSearch? Not fully, really!

Only infrastructure is managed, doesn't solve for capacity planning, query performance or indexing issues.

"We're constantly getting alerts about our Amazon OpenSearch cluster because it's at high memory or disk is almost full"

— Fuel

Additional reported issues

Mapping conflicts and type mismatches

Slow aggregation on high-cardinality fields

Security vulnerabilities and access control complexity

Snapshot/restore failures on large indexes

Plugin compatibility issues after upgrades

Oodle: Built for logs at any scale

S3-based architecture from the team behind Amazon S3, DynamoDB, Rubrik, and Snowflake

Zero

Operational Overhead

99.9%

Uptime SLA

15 min

Setup Time

Why engineers switch to Oodle

Modern observability without the operational overhead

OpenSearch++ - familiar UX without the pain

Familiar OpenSearch UI - no migration friction for developers
Scales like S3 - Built on object storage + serverless architecture
Blazing fast search - uses Lambdas for massive parallelism when needed
Zero operational overhead - no shards, no index management, no upgrades

Same experience your team knows, none of the infrastructure burden

Unified Observability - Simplicity at core

Logs, Metrics, Traces & more - all interleaved and correlated
Simple yet powerful primitives - LogMetrics, LogTransforms, LogBlocks
Error insights, anomalies - baked into the product

Not just a Logs platform, a complete Observability package

Ask questions in plain English

Cursor-like debugging with in-product AI Assistant
AI Assistant available wherever you are - UI, Slack, Cursor, Claude Code
No query languages to learn, no tribal knowledge needed
Debug incidents faster by letting AI validate your hypothesis

Debug in minutes, not hours. AI does the heavy lifting

Same cost as that of Self-Hosted OpenSearch

S3 + Serverless architecture - no disks, no dedicated compute - drastically reduces cost
Serverless query engine - scales when you need it without idle compute costs
Compute-storage separation + Serverless architecture

Predictable Pricing, sub-linear pricing as you scale!

Compare your costs

See how OpenSearch TCO compares to Oodle's fully managed observability platform.

Daily Log Volume

Retention

days

Total Cost of Ownership

26% savings vs OpenSearch

OpenSearch

AWS Managed OpenSearch

$6,041/mo

Oodle

Fully managed

$4,500/mo

View Cost Breakdown

*Assumptions: 1 data sample every 60 seconds, 30d retention. Oodle pricing is usage-based with no minimum commitment.

Most teams also spend 15–25 hours/month managing OpenSearch clusters — patching, shard rebalancing, capacity planning. That engineering time is not reflected above.