Elasticsearch costs scaling faster
than your data?
Fully managed at same cost, Cursor-like debugging. Effortless automated migration
“Hands down. Wow. We were blown away”
“Full migration of 3,500 nodes in 6 weeks - my friends were shocked”
“3x savings in 3 hours for Grafana Cloud.”
“Log search is much faster than AWS OpenSearch”
“We never thought we could easily switch until Oodle proved otherwise”
“Cursor-like debugging has transformed how we make decisions”
“Replaced CloudWatch, OpenSearch, Splunk with a single, faster platform”
“Your approachability and turnaround time - everyone was like, wow”
“Our engineers are loving the single pane of glass”
“If we had to do these by hand, we'd still be clobbering at the rocks”
“Your AI assistant is mature. Awesome!”
“Leveraging the Datadog client made it much simpler to switch over”
“Honestly, it's been a game changer”
Trusted by startups, unicorns and public companies
What real users are saying...
Real feedback from Elastic forums, Reddit, and GitHub.
Ingestion Failures & Data Loss
Filebeat and Logstash struggle under high event rates – agents OOM, Logstash drops events, and logs silently vanish during backpressure periods.
"Filebeat with Kubernetes autodiscovery hits constant high CPU, keeps getting OOM-killed, and falls behind on log shipping for ~10 million events/hour."
— Elastic ForumSlow Dashboards & Query Timeouts
Kibana dashboards become sluggish or timeout on large indices and broad time ranges. Even basic actions like opening Discover feel "extremely slow" to end-users.
"Kibana dashboards are extremely slow when querying large Elasticsearch indexes. Searches that span many shards often run into slow response or fail to complete."
— Elastic ForumUnpredictable Data Transfer / API costs
Inter-node Data Transfer charges, snapshot charges, data out charges could be surprising to users
"How can I monitor how much data is being "read" per hour within the ElasticCloud dashboard?"
— Elastic ForumILM Misconfigurations & Full-Disk Outages
Index Lifecycle Management is a constant source of confusion. Teams enable ILM expecting automatic cleanup, only to discover it never deletes data unless explicitly configured – causing full-disk incidents.
"ILM will happily keep rolling over indices without ever removing data unless you explicitly configure a delete action. Our cluster filled up because we assumed rollover meant old data was aging out."
— Medium / KoçSistemAdditional reported issues
Oodle: Built for logs at any scale
S3-based architecture from the team behind Amazon S3, DynamoDB, Rubrik, and Snowflake
Why engineers switch to Oodle
Modern observability without the operational overhead
Kibana++ with Unified Observability
- Familiar Kibana-like UI — no retraining needed for developers
- Logs, Metrics, Traces & more — all interleaved and correlated
- Simple yet powerful primitives — LogMetrics, LogTransforms, LogBlocks
- Error insights, anomalies — baked into the product
The Kibana experience your team knows, with full-stack observability built in
Zero operational overhead
- No clusters, no indices, no ILM policies, no shard rebalancing — columnar architecture, not Elasticsearch under the hood
- No capacity planning — storage and compute scale independently on demand
- No performance tuning — blazing fast queries
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 Elasticsearch
- 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 Elasticsearch TCO compares to Oodle's fully managed observability platform.
Total Cost of Ownership
36% savings vs Elasticsearch
Elasticsearch
Elastic Cloud Serverless
Oodle
Fully managed
*Assumptions: 1 data sample every 60 seconds, 30d retention. Oodle pricing is usage-based with no minimum commitment.
Self-hosted Elastic clusters typically require 0.75–3.5 FTEs for steady-state operations (upgrades, ILM tuning, shard allocation, disk watermarks). Elastic Cloud adds ~10–20% in hidden snapshot storage and data transfer fees not shown in their calculator. Neither cost is reflected above.
Get started in minutes
Keep your existing log shippers. Just update the endpoint to start shipping data to Oodle.
Your existing instrumentation works out of the box with Oodle.
Migrate in Under a Week
Keep shipping logs to Elasticsearch while you verify Oodle. Zero data loss, zero downtime.
How to Switch
Configure Dual-Ship
15 minsUpdate your log shipper (Filebeat, Logstash, Vector, Fluent Bit, OTel etc.) to send logs to both Elasticsearch and Oodle
View docsVerify Data
1 dayUse Oodle for your day-to-day workflows with the same Kibana-like UI. Oodle migrates all your saved queries and dashboards automatically.
Cutover
15 minsRedirect all log shippers to Oodle only. Decommission your Elasticsearch cluster.
Who is Switching
“Switching to Oodle has been remarkable — dashboards load much faster. It took less than 6 hours to achieve 4x cost reduction.”
Kunal Khandelwal
Platform Engineering Lead, Cure.fit
CloudWatch
Elasticsearch
OpenSearch
SplunkCloudWatchProven at enterprise scale
What changes when you switch
From operational burden to observability freedom
Enterprise-ready from day one
Security and compliance built without compromise
Ready to stop babysitting Elasticsearch?
Go live in 15 minutes. Familiar Kibana-like UI. Zero Operational Overhead.