Log Management · head to head
Datadog Logs vs Firebolt

Datadog Logs
Log Management
Log Management and Analytics
- From
- $0.1/per GB ingested per month
- Rated
- -

Firebolt
Database & Data Management
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
The short version
- Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
- They diverge on capability: Datadog Logs covers Log ingestion, Firebolt covers Sub-second Queries.
Where they differ
Only the attributes on which Datadog Logs and Firebolt actually diverge.
| Attribute | Datadog Logs | Firebolt |
|---|---|---|
| Starting price | $0.1/per GB ingested per month | $1.84/hour |
| Platforms | Cloud (AWS, Azure, Google Cloud, Oracle Cloud) | Cloud (AWS, GCP, Azure preview), Docker, Kubernetes |
| Category | Log Management | Database & Data Management |
| Founded | 2010 | 2019 |
Identical on both: pricing model (usage-based), free tier (No), 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
- Api support
Only in Firebolt
- Sub-second Queries
- Sparse Indexes
- Data Pruning
- Decoupled Storage/Compute
- SQL Support
- Semi-structured Data
- Workload Isolation
- Airflow
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Datadog Logs
- Centralised log aggregation and analysisnot Firebolt
- Multi-source log correlation with metrics and tracesnot Firebolt
- Root cause analysis and troubleshootingnot Firebolt
- Security monitoring and threat detectionnot Firebolt
Firebolt
- Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Datadog Logs
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Datadog Logs
- Applications needing vector search on analytical data for similarity queriesnot 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
Firebolt
- Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
- Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
- Azure deployment currently in Preview status; production recommendations unclear
- Vector indexes limited to float arrays; other data types require alternative indexing strategies
- Free tier credits ($200) limited; no perpetual free tier for production use
Pricing, plan by plan
Datadog Logs
$0.1/per GB ingested per monthNo published plan breakdown. See the Datadog Logs review.
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt 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 Firebolt if
- You need sub-second queries.
- You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- You also want sparse indexes.
Questions people ask
- Is Datadog Logs or Firebolt better?
- Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and Firebolt at $1.84/hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog Logs or Firebolt?
- Datadog Logs starts at $0.1/per GB ingested per month and Firebolt at $1.84/hour.
- Does Datadog Logs or Firebolt run on more platforms?
- Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- 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 Firebolt is typically brought in for.
- What can Datadog Logs do that Firebolt cannot?
- Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Both handle Web support.
Related pages
More on Datadog Logs
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- Datadog Logs vs Amazon RDS
- Datadog Logs vs Amazon Redshift
- Datadog Logs vs Apache Druid
- Datadog Logs vs Cassandra
- Datadog Logs vs CouchDB
- Firebolt vs Elastic Stack
- Firebolt vs New Relic
- Firebolt vs Coralogix
- Firebolt vs Grafana Loki
- Firebolt vs CloudWatch
- Firebolt vs Dynatrace
- Firebolt vs InfluxDB
- Firebolt vs Airbrake
- Firebolt vs AppDynamics
- Firebolt vs Axiom
- Firebolt vs Azure Monitor
- Firebolt vs Better Stack
- Firebolt vs Bugsnag
- Firebolt vs Dynatrace Logs
- Firebolt vs Elastic
- Firebolt vs Elastic APM
- Firebolt vs Elasticsearch Service
- Firebolt vs ELK Stack
- Firebolt vs Cockroach Labs
- Firebolt vs PostgreSQL
- Firebolt vs Airtable
- Firebolt vs Amazon Aurora
- Firebolt vs Elasticsearch
- Firebolt vs PlanetScale
- Firebolt vs Azure SQL
- Firebolt vs ClickHouse
- Firebolt vs Couchbase
- Firebolt vs DuckDB
- Firebolt vs DynamoDB
- Firebolt vs MariaDB
- Firebolt vs Oracle Database
- Firebolt vs Amazon RDS
- Firebolt vs Amazon Redshift
- Firebolt vs Apache Druid
- Firebolt vs Cassandra
- Firebolt vs CouchDB
