LogTide vs Graylog for Log Management

Graylog is an established open-source log management platform built on Java, MongoDB, and Elasticsearch (or OpenSearch). LogTide is a modern alternative with simpler architecture, lower resource needs, and built-in SIEM. Both are self-hosted and open-source, so this comparison focuses on architecture, operational complexity, and capabilities. If you are weighing several Elasticsearch-based stacks, the ELK alternatives overview puts Graylog next to the others, and self-hosted log management covers what running your own involves.

Architecture Comparison

Graylog

Graylog requires three separate components to function:

• Graylog Server - Java-based log processing and UI (requires JVM tuning)
• MongoDB - Configuration and metadata storage
• Elasticsearch/OpenSearch - Log storage and full-text search engine

Each component must be installed, configured, version-matched, and maintained independently. Production deployments typically require clustering Elasticsearch nodes for redundancy and performance.

Minimum production setup: 3 Elasticsearch nodes + 1 MongoDB replica set + 1-2 Graylog servers = 5-6 processes across multiple machines.

LogTide

LogTide is a single application stack:

• Backend - API, ingestion, search, alerting, SIEM
• Frontend - Built-in web UI
• TimescaleDB or ClickHouse - Storage (via Reservoir abstraction)

Production setup: docker compose up -d = 3 containers, one command. No Elasticsearch, no MongoDB, no JVM.

Resource Comparison

One difference is resource footprint. Typical sizing (our estimates, not measured benchmarks):

Component	Graylog	LogTide
Elasticsearch (3 nodes)	24-48 GB RAM	-
MongoDB	2-4 GB RAM	-
Graylog Server (JVM)	4-8 GB RAM	-
Backend	-	2-4 GB RAM
TimescaleDB	-	4-8 GB RAM
Total RAM	30-60 GB	6-12 GB
CPU cores	12-24	4-8
Disk IOPS	High (ES indexing)	Moderate

These are our sizing estimates, not benchmark results, so test with your own workload. The structural reason for the difference is that LogTide avoids the Elasticsearch cluster and the JVM-based server.

Cost Comparison

Both offer free self-hosted options, but operational costs differ significantly due to infrastructure requirements and feature gating.

Graylog Pricing

Tier	Cost
Graylog Open (self-hosted)	Free, no daily ingest cap (per Graylog)
Graylog Enterprise	From $15,000/year (about $1,250/month), from 10 GB/day
Graylog Security	From $18,000/year (about $1,500/month), from 10 GB/day

Graylog Cloud is a hosting option for the paid editions rather than a separate tier. Prices are the published starting prices from the Graylog pricing page and scale with daily volume.

Real-world infrastructure cost for 50 GB/day (self-hosted open source):

• 3x Elasticsearch nodes (16 GB RAM each): ~$450/month
• MongoDB instance (4 GB RAM): ~$50/month
• Graylog server (8 GB JVM heap): ~$100/month
• Storage (2 TB SSD across ES nodes): ~$100/month
• Infrastructure total: ~$700/month ($8,400/year)

To get SIEM features, you need Graylog Security at $1,500+/month, bringing the total to $2,200/month ($26,400/year).

LogTide Pricing

Component	Cost
Software license	Free (AGPLv3)
Cloud VM (4 CPU, 16 GB RAM)	~$100-200/month
Storage (1 TB SSD)	~$50-80/month
SIEM features	Included
Users	Unlimited

Same 50 GB/day scenario:

• Infrastructure: ~$200-300/month
• Total: ~$250/month ($3,000/year)

Difference on these estimates: ~$5,400/year versus Graylog Open, and ~$23,400/year versus Graylog Open plus Graylog Security. Infrastructure figures are our estimates, not quotes.

Feature Comparison

Feature	Graylog Open	LogTide
Log ingestion (Syslog, GELF)	Yes	Syslog (via Fluent Bit) + HTTP API
HTTP API ingestion	Yes (GELF HTTP)	Yes (native)
Native SDKs	No (GELF libraries)	Yes (Node.js, Python, Go)
OpenTelemetry support	Plugin	Native OTLP
Full-text search	Yes (Elasticsearch)	Yes (indexed)
Real-time streaming	Yes	Yes (SSE)
Alert rules	Yes	Yes
Pipelines / extractors	Yes (processing rules)	Auto JSON parsing
Lookup tables	Yes	metadata JSON
Sigma detection rules	No (Graylog Security only)	Built-in
MITRE ATT&CK mapping	No (Graylog Security only)	Included
Incident management	No (Graylog Security only)	Included
Multi-tenancy	Limited (streams)	Yes (organizations/projects)
Self-hosted	Yes	Yes
Open source	Source-available (SSPL)	AGPLv3
Architecture complexity	High (Java + MongoDB + ES)	Low (Docker Compose)
Index management	Manual (rotation, retention)	Automatic

Where Graylog Wins

Mature log processing. Graylog’s processing pipelines, extractors, and lookup tables provide sophisticated log transformation capabilities. If you need to parse complex log formats (syslog, CEF, LEEF, Windows Event Log) with rule-based extraction and enrichment, Graylog’s pipeline system is well-established and battle-tested.

Native Syslog and GELF support. Graylog has first-class Syslog (TCP/UDP) and GELF input support, making it a natural fit for network devices, firewalls, switches, and legacy infrastructure that speaks Syslog natively. No intermediary agent is needed.

Established community. Graylog has been around since 2010 and has a large community with extensive documentation, content packs, and community plugins. There are answers to most common questions on forums and Stack Overflow.

Stream-based routing. Graylog’s stream concept allows flexible log routing based on field-matching rules. Different log types can be sent to different indexes with independent retention policies, making it easy to manage data lifecycle.

Elasticsearch query power. Because Graylog uses Elasticsearch under the hood, you get the full power of Lucene queries and Elasticsearch aggregations for complex log analysis.

Where LogTide Wins

Dramatically simpler operations. Graylog requires managing Elasticsearch clusters (shard allocation, replica management, index rotation, JVM garbage collection tuning), MongoDB (replica sets for HA, WiredTiger cache sizing), and the Graylog JVM (heap sizing, thread pool tuning). LogTide is a single Docker Compose deployment with your choice of TimescaleDB or ClickHouse.

Lower resource footprint. Graylog depends on an Elasticsearch or OpenSearch cluster plus MongoDB and a JVM server. In our sizing estimate that is 30-60 GB of RAM against 6-12 GB for LogTide; measure with your own load.

Built-in SIEM at no extra cost. Graylog locks SIEM features (Sigma rules, MITRE ATT&CK mapping, incident management) behind the paid Graylog Security tier at $18,000+/year. LogTide includes all SIEM capabilities in the free open-source version.

Native SDKs. Graylog relies on GELF (Graylog Extended Log Format) libraries or Syslog for application logging. GELF is non-standard and Graylog-specific. LogTide provides native SDKs for Node.js, Python, and Go with structured logging, automatic batching, and retry support.

Flexible storage backends. LogTide supports TimescaleDB (PostgreSQL-based, default) and ClickHouse via its Reservoir abstraction. Both are easier to manage than Elasticsearch. With TimescaleDB, standard SQL tooling, pg_dump, and pgAdmin all work out of the box. With ClickHouse, you get columnar storage optimized for high-volume analytical queries.

True open source. Graylog Open has been licensed under the Server Side Public License (SSPL) since version 4.0. The SSPL is source-available, not OSI-approved open source, and restricts offering the software as a service. LogTide is fully AGPLv3 with no feature gating between free and paid tiers.

No version compatibility headaches. Graylog requires version-matching between Graylog Server, Elasticsearch/OpenSearch, and MongoDB. Upgrading one component without the others can cause breakage. LogTide is a single versioned release.

When to Choose Graylog

• You receive logs primarily via Syslog or GELF from network infrastructure
• You need Graylog’s mature log processing pipelines and extractors
• Your team has existing Graylog expertise, content packs, and dashboards
• You need stream-based routing for complex multi-tenant log management
• You’re already running Elasticsearch and want to leverage that investment
• You need Elasticsearch’s advanced aggregation capabilities

When to Choose LogTide

• You want simpler operations without managing Elasticsearch and MongoDB
• Infrastructure budget is limited (smaller footprint by our estimate)
• You need SIEM capabilities without paying for Graylog Security
• You prefer native application SDKs over GELF format
• You want a modern stack with flexible storage (TimescaleDB or ClickHouse)
• You’re starting fresh and want the fastest path to production
• You want all features included with no commercial tier gating

Migration Path

Step 1: Ship Logs to Both

Run LogTide alongside Graylog during evaluation. Use Fluent Bit to fan out logs to both systems:

[SERVICE]
    Flush 5
    Log_Level info

[INPUT]
    Name tail
    Path /var/log/app/*.log
    Tag app.*
    Parser json

[INPUT]
    Name systemd
    Tag system.*
    Systemd_Filter _SYSTEMD_UNIT=nginx.service

# Send to LogTide
[OUTPUT]
    Name http
    Match *
    Host logtide.internal
    Port 8080
    URI /api/v1/ingest
    Format json
    Header X-API-Key lp_your_api_key

# Keep Graylog output during migration
[OUTPUT]
    Name gelf
    Match *
    Host graylog.internal
    Port 12201
    Mode tcp

Step 2: Forward Syslog Sources to LogTide

For network devices and infrastructure sending Syslog or GELF, use Fluent Bit as a protocol relay:

# Receive Syslog from network devices
[INPUT]
    Name syslog
    Listen 0.0.0.0
    Port 5140
    Mode tcp
    Parser syslog-rfc5424

# Receive GELF from legacy applications
[INPUT]
    Name tcp
    Listen 0.0.0.0
    Port 12201
    Format json

# Forward everything to LogTide
[OUTPUT]
    Name http
    Match *
    Host logtide.internal
    Port 8080
    URI /api/v1/ingest
    Format json
    Header X-API-Key lp_your_api_key

Step 3: Validate and Cut Over

Compare LogTide and Graylog results for 1-2 weeks:

1. Verify search results match for the same queries and time ranges
2. Confirm alerts fire correctly with equivalent thresholds
3. Test SIEM detection rules against your real log data
4. Validate multi-tenancy and access controls
5. Once validated, redirect all log sources to LogTide and decommission the Graylog stack (Elasticsearch, MongoDB, Graylog Server)

Concept Mapping

Graylog	LogTide	Notes
Stream	Project	Logical grouping of logs
Index Set	Project	One index set = One project
Source	Service	Per-source identification
Extractor	N/A (auto JSON)	LogTide auto-parses JSON fields
Processing Pipeline	N/A	Preprocess in Fluent Bit or app
GELF input	HTTP API / SDK	Direct HTTP ingestion
Syslog input	Fluent Bit relay	Forward via Fluent Bit
Alert Condition	Alert Rule	Similar functionality
Notification	Webhook / Email	Alert delivery channels
Content Pack	N/A	Use Sigma rules from SigmaHQ
Lookup Table	metadata JSON	Store enrichment data in metadata
Graylog Security	Sigma Rules + SIEM	Built-in, no extra license
Dashboard	SIEM Dashboard	Security-focused dashboards

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