Software · head to head
Datadog vs Firestore

Firestore
Software
Flexible, scalable NoSQL cloud database from Firebase
- From
- Free
- Rated
- -
The short version
- Only Firestore has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- They diverge on capability: Datadog covers Infrastructure monitoring, Firestore covers Document Model.
Where they differ
Only the attributes on which Datadog and Firestore actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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
- Infrastructure monitoring
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
Only in Firestore
- Document Model
- Real-time Updates
- Offline Support
- ACID Transactions
- Expressive Queries
- Multi-region
- Security Rules
- Firebase Auth
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Firestore
- Application performancenot Firestore
- Security monitoringnot Firestore
- Log analysisnot Firestore
- Cloud monitoringnot Firestore
Firestore
- Storing structured application data with realtime listenersnot Datadog
- Backing mobile and web apps with a serverless document databasenot Datadog
- Building offline first apps that sync when connectivity returnsnot Datadog
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Datadog
- Consumption-based pricing model makes costs hard to predict and can scale quickly
- Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
- No free tier for production monitoring
- High costs for organizations with large amounts of log data or high-cardinality metrics
Firestore
- The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
- Charging is per document read, so a query returning many documents bills for every one of them
- Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling
Pricing, plan by plan
Datadog
$15/month- Infrastructure Monitoring$15/month
- Host monitoring
- Basic dashboards
- APM$31/month
- Application performance monitoring
- Trace collection
- Log Management$0.1/gb
- Log indexing
- Search and filter
Firestore
Free- SparkFree
- 1GB storage
- 50K reads/day
- 20K writes/day
- BlazeFree
- Pay as you go
- Unlimited operations
- Multi-region
Which should you pick?
Choose Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Choose Firestore if
- You need document model.
- You want to start without paying.
- You work on Web, Ios, Android, Flutter.
- You also want real-time updates.
Questions people ask
- Is Datadog or Firestore better?
- Neither clearly leads. Datadog starts at $15/month and Firestore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Firestore?
- Firestore has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Firestore.
- Does Datadog or Firestore run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Firestore runs on Web, Ios, Android, Flutter.
- Can I use Firestore for free?
- Yes. Firestore has a free tier, so you can try it without paying. Datadog starts at $15/month.
- What is Datadog best used for?
- Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Firestore is typically brought in for.
- What can Datadog do that Firestore cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions.
Answered from the vendors’ own pages
Datadog: How is Datadog pricing structured?
Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.
SourceDatadog: Does Datadog offer a free tier?
Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.
SourceDatadog: What integrations does Datadog support?
Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.
SourceDatadog: Can Datadog monitor Kubernetes clusters?
Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.
SourceDatadog: How can I reduce Datadog costs?
Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.
SourceRelated pages
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