Machine Learning · head to head
Dataiku vs Firebolt

Firebolt
Databases
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; 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: Dataiku covers Visual data prep, Firebolt covers Sub-second Queries.
Where they differ
Only the attributes on which Dataiku 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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
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.
Dataiku
- Building and deploying data science and machine learning pipelinesnot Firebolt
- Giving analysts and data scientists a shared visual and code environmentnot Firebolt
Firebolt
- Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Dataiku
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Dataiku
- Applications needing vector search on analytical data for similarity queriesnot Dataiku
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt review.
Which should you pick?
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
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 Dataiku or Firebolt better?
- Neither clearly leads. Dataiku 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, Dataiku or Firebolt?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $1.84/hour for Firebolt.
- Does Dataiku or Firebolt run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
- What is Dataiku best used for?
- Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what Firebolt is typically brought in for.
- What can Dataiku do that Firebolt cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Both handle Web support.
Answered from the vendors’ own pages
Dataiku: What are Dataiku pricing tiers and costs?
Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.
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.
SourceDataiku: Does Dataiku offer a free tier or trial?
Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.
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.
SourceFirebolt: What free credits or trial does Firebolt offer new users?
New users receive $200 free credits to get started with the platform.
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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- Dataiku vs Turso
- Dataiku vs Azure SQL
- Dataiku vs ClickHouse
- Dataiku vs Couchbase
- Dataiku vs DuckDB
- Dataiku vs MariaDB
- Dataiku vs Oracle Database
- Dataiku vs DataGrip
- Dataiku vs Google Cloud SQL
- Dataiku vs MotherDuck
- Firebolt vs AWS SageMaker
- Firebolt vs Google Vertex AI
- Firebolt vs Azure Machine Learning
- Firebolt vs DataRobot
- Firebolt vs MLflow
- Firebolt vs Snowflake
- Firebolt vs TensorFlow
- Firebolt vs Comet ML
- 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 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

