Logging · head to head
Datadog Logs vs Redis

Datadog Logs
Logging
Log Management and Analytics
- From
- $0.1/per GB ingested per month
- Rated
- -
The short version
- Only Redis has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; Redis licensing changed from BSD to AGPL in 2025, impacting open-source usage
- They diverge on capability: Datadog Logs covers Log ingestion, Redis covers In-memory data store.
Where they differ
Only the attributes on which Datadog Logs and Redis actually diverge.
| Attribute | Datadog Logs | Redis |
|---|---|---|
| Starting price | $0.1/per GB ingested per month | Free |
| Pricing model | usage-based | Unknown |
| Free tier | No | Yes |
| Platforms | Cloud (AWS, Azure, Google Cloud, Oracle Cloud) | Linux, macOS, Windows |
| Category | Logging | Technology |
| Founded | 2010 | 2009 |
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Datadog Logs
- Log ingestion
- Full-text search
- Custom dashboards
- Log-based metrics
- API
- Webhooks
- REST
- Web support
Only in Redis
- In-memory data store
- Data structures
- Pub/Sub messaging
- Lua scripting
- Transactions
- Persistence options
- Replication
- Clustering
What people use each for
The jobs each tool is most often brought in to do.
Datadog Logs
- Centralised log aggregation and analysisnot Redis
- Multi-source log correlation with metrics and tracesnot Redis
- Root cause analysis and troubleshootingnot Redis
- Security monitoring and threat detectionnot Redis
Redis
- Cachingnot Datadog Logs
- Session managementnot Datadog Logs
- Real-time analyticsnot Datadog Logs
- Message queuingnot Datadog Logs
- Leaderboardsnot Datadog Logs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Datadog Logs
- Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
- Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments
Redis
- Licensing changed from BSD to AGPL in 2025, impacting open-source usage
- All data must fit in memory, limiting scalability to available RAM
- No built-in support for multi-tenancy
- Limited transaction support compared to traditional databases
Pricing, plan by plan
Datadog Logs
$0.1/per GB ingested per monthNo published plan breakdown. See the Datadog Logs review.
Redis
FreeNo published plan breakdown. See the Redis review.
Which should you pick?
Choose Datadog Logs if
- You need log ingestion.
- You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
- You also want full-text search.
Choose Redis if
- You need in-memory data store.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want data structures.
Questions people ask
- Is Datadog Logs or Redis better?
- Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and Redis at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog Logs or Redis?
- Redis has a free tier; the other does not. Paid plans start at $0.1/per GB ingested per month for Datadog Logs and Free for Redis.
- Does Datadog Logs or Redis run on more platforms?
- Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Redis runs on Linux, macOS, Windows.
- Can I use Redis for free?
- Yes. Redis has a free tier, so you can try it without paying. Datadog Logs starts at $0.1/per GB ingested per month.
- What is Datadog Logs best used for?
- Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what Redis is typically brought in for.
- What can Datadog Logs do that Redis cannot?
- Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. Redis covers In-memory data store, Data structures, Pub/Sub messaging, Lua scripting.
Answered from the vendors’ own pages
Datadog Logs: What pricing options does Datadog offer for log ingestion and processing?
Log ingestion starts at $0.10/GB (annual billing; $0.10 on-demand). Standard indexing costs $1.70 per million events per month (annual; $2.55 on-demand). Flex Storage costs $0.05/million events stored per month (annual; $0.075 on-demand). Flex Logs Starter costs $0.60/million events stored per month (annual; $0.90 on-demand).
SourceRedis: Is Redis open source?
Redis was open source under the BSD license since its inception in 2009 and has remained open source. However, in 2024-2025, Redis Labs changed licensing to source-available and AGPL, prompting the creation of Valkey, a BSD-licensed open-source fork.
SourceDatadog Logs: What retention options are available and how does it affect pricing?
Standard indexing offers 15-day retention with options for 3 to 30+ days. Flex Storage supports flexible retention up to 15 months. Flex Logs Starter includes bundled compute for retention of 3-15 months.
SourceRedis: What is Redis used for?
Redis is an in-memory data structure store used primarily as a cache, database, and message broker. It provides high-speed data access for real-time applications, sessions, leaderboards, real-time analytics, and other use cases requiring fast data retrieval.
SourceDatadog Logs: Is there a cost to forward logs to external systems?
Yes, log forwarding costs $0.25/GB outbound per destination for routing logs to external systems.
SourceDatadog Logs: What discounts are available for high-volume customers?
Multi-year and volume discounts are available for customers processing 3B+ events per month.
SourceRelated pages
More on Datadog Logs
Other head to heads
- Datadog Logs vs Elastic Stack
- Datadog Logs vs New Relic
- Datadog Logs vs Coralogix
- Datadog Logs vs Grafana Loki
- Datadog Logs vs incident.io
- Datadog Logs vs Cronitor
- Datadog Logs vs FireHydrant
- Datadog Logs vs Healthchecks
- Datadog Logs vs Openstatus
- Datadog Logs vs Rootly
- Datadog Logs vs Checkly
- Datadog Logs vs CloudWatch
- Datadog Logs vs Dynatrace
- Datadog Logs vs InfluxDB
- Datadog Logs vs Airbrake
- Datadog Logs vs AppDynamics
- Datadog Logs vs Axiom
- Datadog Logs vs Azure Monitor
- Datadog Logs vs Asana
- Datadog Logs vs ClickUp
- Datadog Logs vs Linear
- Datadog Logs vs Figma
- Datadog Logs vs Kubernetes
- Datadog Logs vs Notion
- Datadog Logs vs Datadog
- Datadog Logs vs Monday.com
- Datadog Logs vs Terraform
- Datadog Logs vs Docker
- Datadog Logs vs Greenhouse
- Datadog Logs vs Google Chrome
- Datadog Logs vs Intercom
- Datadog Logs vs Mozilla Firefox
- Datadog Logs vs Okta
- Datadog Logs vs PostHog
- Datadog Logs vs Supabase
- Datadog Logs vs Amplitude
- Redis vs Elastic Stack
- Redis vs New Relic
- Redis vs Coralogix
- Redis vs Grafana Loki
- Redis vs incident.io
- Redis vs Cronitor
- Redis vs FireHydrant
- Redis vs Healthchecks
- Redis vs Openstatus
- Redis vs Rootly
- Redis vs Checkly
- Redis vs CloudWatch
- Redis vs Dynatrace
- Redis vs InfluxDB
- Redis vs Airbrake
- Redis vs AppDynamics
- Redis vs Axiom
- Redis vs Azure Monitor
- Redis vs Asana
- Redis vs ClickUp
- Redis vs Linear
- Redis vs Figma
- Redis vs Kubernetes
- Redis vs Notion
- Redis vs Datadog
- Redis vs Monday.com
- Redis vs Terraform
- Redis vs Docker
- Redis vs Greenhouse
- Redis vs Google Chrome
- Redis vs Intercom
- Redis vs Mozilla Firefox
- Redis vs Okta
- Redis vs PostHog
- Redis vs Supabase
- Redis vs Amplitude

