Databases · head to head
Firebolt vs Weaviate

Firebolt
Databases
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
The short version
- Only Weaviate has a free tier, so it costs nothing to try first.
- Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Firebolt covers Sub-second Queries, Weaviate covers Vector and keyword search.
Where they differ
Only the attributes on which Firebolt and Weaviate actually diverge.
Identical on both: user rating (Not yet rated), founded (2019).
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 Firebolt
- Sub-second Queries
- Sparse Indexes
- Data Pruning
- Decoupled Storage/Compute
- SQL Support
- Semi-structured Data
- Workload Isolation
- Airflow
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Firebolt
- Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Weaviate
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Weaviate
- Applications needing vector search on analytical data for similarity queriesnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Firebolt
- Generating and storing embeddings alongside the objects they describenot Firebolt
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
Pricing, plan by plan
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt review.
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
Choose Firebolt if
- You need sub-second queries.
- You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- You also want sparse indexes.
Choose Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Firebolt or Weaviate better?
- Neither clearly leads. Firebolt starts at $1.84/hour and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Firebolt or Weaviate?
- Weaviate has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for Weaviate.
- Does Firebolt or Weaviate run on more platforms?
- Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Weaviate for free?
- Yes. Weaviate has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
- What is Firebolt best used for?
- Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what Weaviate is typically brought in for.
- What can Firebolt do that Weaviate cannot?
- Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.
Answered from the vendors’ own pages
Firebolt: 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.
SourceWeaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
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.
SourceWeaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceFirebolt: What free credits or trial does Firebolt offer new users?
New users receive $200 free credits to get started with the platform.
SourceWeaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
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.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
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.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
SourceRelated pages
Other head to heads
- 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
- 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 Weights & Biases
- Firebolt vs Alteryx
- Firebolt vs Anaconda
- Weaviate vs Cockroach Labs
- Weaviate vs PostgreSQL
- Weaviate vs Airtable
- Weaviate vs Amazon Aurora
- Weaviate vs Elasticsearch
- Weaviate vs Apache Kafka
- Weaviate vs PlanetScale
- Weaviate vs Meilisearch
- Weaviate vs Turso
- Weaviate vs Azure SQL
- Weaviate vs ClickHouse
- Weaviate vs Couchbase
- Weaviate vs DuckDB
- Weaviate vs MariaDB
- Weaviate vs Oracle Database
- Weaviate vs DataGrip
- Weaviate vs Google Cloud SQL
- Weaviate vs MotherDuck
- Weaviate vs AWS SageMaker
- Weaviate vs Google Vertex AI
- Weaviate vs Azure Machine Learning
- Weaviate vs DataRobot
- Weaviate vs MLflow
- Weaviate vs Snowflake
- Weaviate vs TensorFlow
- Weaviate vs Comet ML
- Weaviate vs Jupyter
- Weaviate vs LangChain
- Weaviate vs Pinecone
- Weaviate vs Python
- Weaviate vs PyTorch
- Weaviate vs scikit-learn
- Weaviate vs Apache Spark MLlib
- Weaviate vs Weights & Biases
- Weaviate vs Alteryx
- Weaviate vs Anaconda

