Machine Learning · head to head
Comet ML vs DuckDB
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; DuckDB client-server setup remains in beta and not recommended for production distributed scenarios
- They diverge on capability: Comet ML covers Experiment tracking, DuckDB covers In-process Execution.
Where they differ
Only the attributes on which Comet ML and DuckDB actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 DuckDB
- In-process Execution
- Columnar Storage
- Vectorized Execution
- Rich SQL Support
- Parquet Support
- CSV/JSON Import
- Zero Dependencies
- Python
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot DuckDB
- AI agent testing and debuggingnot DuckDB
- Experiment tracking for machine learningnot DuckDB
- Model registry and version managementnot DuckDB
- ML model training monitoringnot DuckDB
DuckDB
- Analytics and data warehousingnot Comet ML
- OLAP queries and data explorationnot Comet ML
- Data science and machine learning workflowsnot Comet ML
- Multi-format data ingestion and processingnot 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
DuckDB
- Client-server setup remains in beta and not recommended for production distributed scenarios
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
DuckDB
FreeNo published plan breakdown. See the DuckDB 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 DuckDB if
- You need in-process execution.
- You want to start without paying.
- You work on Linux, macOS, Windows, WebAssembly.
- You also want columnar storage.
Questions people ask
- Is Comet ML or DuckDB better?
- Neither clearly leads. Comet ML starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or DuckDB?
- Comet ML starts at Free and DuckDB at Free.
- Does Comet ML or DuckDB run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. DuckDB runs on Linux, macOS, Windows, WebAssembly.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 DuckDB is typically brought in for.
- What can Comet ML do that DuckDB cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Both handle Linux support, Mac support, Windows 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.
SourceDuckDB: Is DuckDB free to use?
Yes, DuckDB is completely free. There are no subscription tiers, user limits, or paid plans. The software has zero licensing costs.
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.
SourceDuckDB: What license is DuckDB distributed under?
DuckDB is open source under the MIT License, governed by the independent DuckDB Foundation. The MIT License permits commercial use, modification, and distribution with minimal restrictions.
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.
SourceDuckDB: Can I use DuckDB in commercial applications?
Yes, the MIT License allows commercial use without restrictions or requirements to publish proprietary code. You can deploy DuckDB anywhere from edge devices to high-core servers.
SourceComet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceDuckDB: Are there any limitations on how many instances I can run?
No, there are no user limits, usage limits, or instance restrictions. You have unlimited access to all DuckDB features.
SourceRelated pages
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- DuckDB vs Apache Spark MLlib
- DuckDB vs Weaviate
- DuckDB vs Weights & Biases
- DuckDB vs Alteryx
- DuckDB vs Anaconda
- DuckDB vs Cockroach Labs
- DuckDB vs PostgreSQL
- DuckDB vs Airtable
- DuckDB vs Amazon Aurora
- DuckDB vs Elasticsearch
- DuckDB vs Apache Kafka
- DuckDB vs PlanetScale
- DuckDB vs Meilisearch
- DuckDB vs Turso
- DuckDB vs Azure SQL
- DuckDB vs ClickHouse
- DuckDB vs Couchbase
- DuckDB vs MariaDB
- DuckDB vs Oracle Database
- DuckDB vs DataGrip
- DuckDB vs Firebolt
- DuckDB vs Google Cloud SQL
- DuckDB vs MotherDuck