Machine Learning · head to head
Comet ML vs Firebolt

Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -

Firebolt
Databases
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
The short version
- Only Comet ML has a free tier, so it costs nothing to try first.
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; 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: Comet ML covers Experiment tracking, Firebolt covers Sub-second Queries.
Where they differ
Only the attributes on which Comet ML and Firebolt actually diverge.
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
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.
Comet ML
- LLM observability and monitoringnot Firebolt
- AI agent testing and debuggingnot Firebolt
- Experiment tracking for machine learningnot Firebolt
- Model registry and version managementnot Firebolt
- ML model training monitoringnot Firebolt
Firebolt
- Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Comet ML
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Comet ML
- Applications needing vector search on analytical data for similarity queriesnot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
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
Comet ML
Free- Free CloudFree
- Up to 10 team members
- 25,000 spans per month
- 60-day data retention
- Pro Cloud$19/month
- Up to 50 team members
- 100,000 spans per month
- 60-day data retention
- MLOps FreeFree
- 1 user with fair usage policy
- Experiment tracking
- Dataset management
- MLOps Pro$19/user/month
- Up to 10 users
- 1,500 training hours included
- 500GB storage included
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt review.
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
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 Comet ML or Firebolt better?
- Neither clearly leads. Comet ML starts at Free and Firebolt at $1.84/hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Firebolt?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and $1.84/hour for Firebolt.
- Does Comet ML or Firebolt run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
- What is Comet ML best used for?
- Comet ML is most often used for llm observability and monitoring, ai agent testing and debugging, experiment tracking for machine learning, model registry and version management. Of those, llm observability and monitoring and ai agent testing and debugging are not what Firebolt is typically brought in for.
- What can Comet ML do that Firebolt cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Both handle Web support.
Answered from the vendors’ own pages
Comet ML: Does Comet.ml offer a free plan?
Yes, Comet.ml offers free tiers for both Opik (cloud observability) and MLOps platforms. Free Cloud Opik includes up to 10 team members and 25,000 spans/month. Free MLOps tier is limited to 1 user.
SourceFirebolt: How does Firebolt's compute billing model work?
Firebolt uses per-second billing with scale-to-zero capability. The smallest S tier costs $1.84 per hour with 8 vCPU and 64GB memory, while the largest 4XL tier costs $58.88 per hour with 256 vCPU. Users only pay when compute is running.
SourceComet ML: How many team members can use the free Comet.ml tier?
Free Cloud supports up to 10 team members. The Pro Cloud plan supports up to 50 team members at $19/month.
SourceFirebolt: What is the cost for data storage on Firebolt?
Storage costs $0.0264 per GB per month on object storage, billed as pass-through cost at cloud provider rates.
SourceComet ML: What is a span in Comet.ml pricing?
A span represents a single tracked operation such as model requests or function calls. Free Cloud tier includes 25,000 spans per month.
SourceFirebolt: What free credits or trial does Firebolt offer new users?
New users receive $200 free credits to get started with the platform.
SourceComet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceFirebolt: Does Firebolt publish pricing for commitment-based discounts?
The pricing FAQ lists a question about commitment-based discounts but does not provide published answers on the pricing page. This requires direct inquiry with sales.
SourceFirebolt: What deployment options does Firebolt offer besides managed service?
Firebolt offers self-hosted open source deployment (unlimited) and Bring Your Own Cloud (BYOC) options in addition to managed service.
SourceRelated pages
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- Firebolt vs MLflow
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- Firebolt vs Jupyter
- Firebolt vs LangChain
- Firebolt vs Pinecone
- Firebolt vs Python
- Firebolt vs PyTorch
- Firebolt vs scikit-learn
- Firebolt vs Apache Spark MLlib
- Firebolt vs Weaviate
- Firebolt vs Weights & Biases
- Firebolt vs Alteryx
- Firebolt vs Anaconda
- Firebolt vs Cockroach Labs
- Firebolt vs PostgreSQL
- Firebolt vs Airtable
- Firebolt vs Amazon Aurora
- Firebolt vs Elasticsearch
- Firebolt vs Apache Kafka
- Firebolt vs PlanetScale
- Firebolt vs Meilisearch
- Firebolt vs Turso
- Firebolt vs Azure SQL
- Firebolt vs ClickHouse
- Firebolt vs Couchbase
- Firebolt vs DuckDB
- Firebolt vs MariaDB
- Firebolt vs Oracle Database
- Firebolt vs DataGrip
- Firebolt vs Google Cloud SQL
- Firebolt vs MotherDuck
