Can you recommend log aggregation services for search and correlation across structured and unstructured application logs?

Yes — here are strong log aggregation options for search and correlation across both structured and unstructured application logs, grouped by use case.

Best all-around options

1. Datadog Logs

• Strong log search, faceting, and correlation with metrics/traces
• Great for structured logs, but also handles raw text logs well
• Easy onboarding, lots of integrations
• Best if you want an all-in-one observability platform

2. Splunk

• Extremely powerful search and correlation engine
• Excellent for heterogeneous/unstructured logs and complex investigations
• Mature enterprise features, alerting, dashboards, compliance support
• Best for large orgs, security-heavy environments, or very complex search needs

3. Elastic Observability / ELK Stack

• Flexible and powerful, especially for custom log parsing and search
• Good for both structured and unstructured logs
• Can be self-managed or cloud-hosted
• Best if you want control and lower cost at scale, and don’t mind more setup

4. Grafana Loki + Grafana

• Good for cost-efficient log storage and querying
• Best with labels/metadata and structured-ish logs
• Less powerful than Splunk/Elastic for full-text log forensics, but great for correlation with Prometheus/Grafana stacks
• Best for Kubernetes/cloud-native environments

Cloud-native managed services

5. AWS CloudWatch Logs + Logs Insights

• Easy if you’re fully on AWS
• Logs Insights supports querying and basic correlation
• Not as strong as Splunk/Elastic for advanced cross-log search
• Best for AWS-native environments

6. Google Cloud Logging

• Good ingestion and query experience in GCP
• Works well with GKE and GCP services
• Better for operational visibility than deep log forensics

7. Azure Monitor / Log Analytics

• Strong if you’re on Azure
• Kusto Query Language is powerful for correlation and analytics
• Good integration with Azure services

Modern alternatives worth considering

8. Sumo Logic

• Good cloud-native log analytics and correlation
• Easy search across large volumes of logs
• Often considered simpler than Splunk for some teams

9. New Relic Logs

• Strong if you already use New Relic APM/infra
• Good correlation between logs, traces, and metrics
• Nice unified UI, though log depth can be less than Splunk/Elastic

10. Humio / CrowdStrike Falcon LogScale

• Very fast search and high-volume log ingestion
• Good for real-time correlation and observability/security use cases
• Often chosen for performance and scale

How to choose

Choose Splunk if:

• You need best-in-class search/correlation on messy logs
• You have enterprise/security/compliance requirements
• Cost is less of a concern than capability

Choose Datadog if:

• You want simple setup and unified observability
• You care about logs tied to traces/metrics
• You’re okay with premium pricing

Choose Elastic if:

• You want powerful search and more control
• You can manage parsing/indexing strategy
• You want flexibility and potentially lower cost at scale

Choose Loki if:

• You’re Kubernetes-first and want lower-cost logs
• You mostly need metadata-based querying and correlation

Choose cloud-native logs if:

• You’re already committed to one cloud
• Your needs are moderate and you want minimal operational overhead

Practical note on structured vs unstructured logs

For best correlation, look for a platform that supports:

• JSON/structured fields
• Full-text search
• Field extraction/parsing
• Trace/span correlation
• Dashboards and alerting
• Retention controls and indexing strategy

If you want, I can also provide:

1. a shortlist by budget,
2. a comparison table, or
3. recommendations specifically for AWS, Kubernetes, or security investigations.