LogTide vs Loggly for Log Management

Loggly (a SolarWinds product, like Papertrail) is a veteran SaaS log aggregator focused on JSON-aware ingestion and search. LogTide is a self-hosted, open-source log management platform with a built-in SIEM. The trade is the classic one - managed convenience against volume-capped pricing - but the details decide which side you should be on. The hosted log management comparison puts Loggly-style SaaS next to other hosted options.

Cost Comparison

Loggly Pricing

Loggly bills by daily ingestion volume with retention tied to the plan tier (prices from the Loggly pricing page, billed annually, checked November 2026; SolarWinds adjusts plans periodically):

Plan	Daily volume	Retention	Approx. price
Lite (free)	200 MB/day	7 days	$0
Standard	1 GB/day	15 days	$79/month
Pro	plans up to 100 GB/day	15-30 days	from $159/month
Enterprise	custom (up to TBs)	15-90 days	from $279/month

The structural issues mirror its sibling Papertrail:

1. Daily caps, not monthly averages. One verbose deploy or incident burst can hit the daily cap and get your overage throttled or dropped - exactly when you need logs most.
2. Retention measured in weeks. Investigating anything older means hoping you exported in time.
3. Volume tiers compound with growth. Every new service pushes you toward the next tier.

Example: a team ingesting 5 GB/day needs a plan above Standard. Pick the Pro volume that covers 5 GB/day from the Loggly page; retention there is 15-30 days. We do not quote a total because the Pro price depends on the volume you select.

LogTide Pricing

LogTide is free, open-source software. You pay only for infrastructure:

Component	Cost
Software license	Free (AGPLv3)
VPS (4 CPU, 8-16 GB RAM)	~$40-100/month
Storage (1 TB SSD)	~$50-80/month
SIEM features	Included
Users	Unlimited
Retention	Unlimited (storage-bound)

Same 5 GB/day scenario: ~$100-180/month of infrastructure, with months of searchable retention and no daily cap to throttle you mid-incident.

Feature Comparison

Feature	Loggly	LogTide
HTTP/S ingestion	Yes	Yes
Syslog ingestion	Yes	Yes (via Fluent Bit/Vector)
Agentless setup	Yes (core strength)	Yes (HTTP/syslog)
SDKs (Node.js, Python, JVM, Go, PHP, .NET)	Token-based, generic	Yes (official SDKs)
Automated parsing (apache, nginx, JSON…)	Yes	JSON-native + shipper parsing
Full-text search	Yes	Yes
Field/JSON queries	Yes	Yes
Live tail	Yes	Yes (SSE)
Dashboards	Yes	SIEM dashboard
Alerting	Yes	Yes
Anomaly detection	Basic	Sigma-rule based
Sigma detection rules	No	Built-in
MITRE ATT&CK mapping	No	Included
Incident management	No	Yes
Daily volume caps	Yes (plan-based)	No
Retention	~7-30 days (plan-based)	Unlimited (storage-bound)
Self-hosted option	No	Yes
Open source	No	AGPLv3
Data sovereignty	No (US SaaS)	Yes

Where Loggly Wins

Zero infrastructure. Fully managed: nothing to deploy, patch, scale, or back up. For teams without ops capacity, that’s the entire decision.

Agentless ingestion breadth. Loggly’s standard-syslog and HTTP endpoints plus scripted setup for common platforms make onboarding heterogeneous legacy systems genuinely easy.

Automated parsing. Out-of-the-box field extraction for dozens of formats (apache, nginx, Java stack traces, JSON) with derived fields for custom patterns - solid for teams who can’t normalize logs at the source.

Free tier for small workloads. 200 MB/day free with 7-day retention covers side projects and small staging environments at literally zero cost.

Where LogTide Wins

No daily caps. Incident bursts are precisely when logs matter; a platform that throttles overage during a traffic spike fails at its one job. LogTide ingests whatever your hardware handles.

Retention. Weeks vs months-to-years. Compliance lookbacks, post-mortems on month-old deploys, and security forensics all need history that Loggly’s tiers simply don’t keep.

Built-in SIEM. Sigma rules, MITRE ATT&CK mapping, and incident management included - Loggly offers log search and basic anomaly alerts, not security detection.

Self-hosting and data sovereignty. Loggly is US-hosted SaaS only. LogTide keeps logs - and the PII that inevitably leaks into them - on infrastructure you control, making GDPR a configuration detail.

Cost trajectory. Tiered SaaS pricing rises in steps with every growth phase; self-hosted infrastructure cost rises slowly and predictably with storage.

Open source. AGPLv3, standard SQL storage (TimescaleDB/ClickHouse), portable Sigma rules - no lock-in at any layer.

When to Choose Loggly

• You have no capacity or appetite to operate any infrastructure
• Volume is small and stable (within or near the 200 MB/day free tier)
• You need automated parsing for legacy formats you can’t change
• Two weeks of retention genuinely covers your investigation needs
• Data residency is not a requirement

When to Choose LogTide

• Daily caps or retention limits have bitten you during an incident
• Volume is multiple GB/day and SaaS tiers are escalating
• You need months of searchable history for compliance or forensics
• Logs must stay on your own infrastructure (GDPR, data sovereignty)
• You want security detection (Sigma, MITRE ATT&CK) without a separate SIEM
• You prefer open source with no vendor lock-in

Migration Path

Step 1: Dual-ship from your existing pipeline

Loggly ingestion is syslog/HTTP based, so add a parallel output in whatever shipper you already run. With rsyslog:

# Existing Loggly forward (keep during migration)
*.* @@logs-01.loggly.com:514

# Add: forward to local Fluent Bit for LogTide
*.* @@127.0.0.1:5140

And Fluent Bit ships to LogTide:

[INPUT]
    Name syslog
    Mode tcp
    Listen 127.0.0.1
    Port 5140
    Parser syslog-rfc5424

[OUTPUT]
    Name http
    Match *
    Host logtide.internal
    Port 8080
    URI /api/v1/ingest/single
    Format json_lines
    Header X-API-Key lp_your_api_key
    Header Content-Type application/json

Applications using Loggly’s HTTP token endpoint can adopt the LogTide SDKs directly and gain structured metadata in the process.

Step 2: Concept mapping

Loggly	LogTide
Customer token	API key (per project, lp_ prefix)
Source group	Project / service filter
Derived fields	Structured metadata fields
Saved search	Saved query
Alert (search-based)	Alert rule + notification channel
Live tail	SSE streaming
Dashboards	SIEM dashboard
Archiving to S3	Native retention (still searchable)

Step 3: Validate and cut over

1. Run both for 1-2 weeks; compare the same queries and time windows
2. Recreate alerts and confirm notification parity
3. Verify parsing: fields Loggly auto-extracted should arrive as JSON metadata from your shipper
4. Remove the Loggly output, downgrade to Lite or cancel

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Ready to own your log management?

• Deploy LogTide - Free, open-source
• LogTide vs Papertrail - The other SolarWinds logging product
• Self-hosted log management - Why teams move off metered SaaS