Database & Data Management · head to head
Firebolt vs Neon

Firebolt
Database & Data Management
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
The short version
- Only Neon 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; Neon compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
- They diverge on capability: Firebolt covers Sub-second Queries, Neon covers Serverless PostgreSQL.
Where they differ
Only the attributes on which Firebolt and Neon 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 Firebolt
- Sub-second Queries
- Sparse Indexes
- Data Pruning
- Decoupled Storage/Compute
- SQL Support
- Semi-structured Data
- Workload Isolation
- Airflow
Only in Neon
- Serverless PostgreSQL
- Database Branching
- Autoscaling
- Bottomless Storage
- Point-in-time Recovery
- Connection Pooling
- Read Replicas
- Instant Cloning
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 Neon
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Neon
- Applications needing vector search on analytical data for similarity queriesnot Neon
Neon
- Serverless applicationsnot Firebolt
- Development databasesnot Firebolt
- Preview environmentsnot Firebolt
- Testingnot 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
Neon
- Compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
- Separation of compute and storage may add complexity to cost prediction compared to all-in-one plans
Pricing, plan by plan
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt review.
Neon
Free- FreeFree
- 100 CU-hours/month
- 0.5 GB storage
- 1 project
- Launch$15/month
- Pay-as-you-go compute
- $0.35/GB storage
- Multiple projects
- Scale$31/month
- Higher compute rates
- 99.95% SLA
- HIPAA compliance
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 Neon if
- You need serverless postgresql.
- You want to start without paying.
- You work on Cloud.
- You also want database branching.
Questions people ask
- Is Firebolt or Neon better?
- Neither clearly leads. Firebolt starts at $1.84/hour and Neon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Firebolt or Neon?
- Neon has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for Neon.
- Does Firebolt or Neon run on more platforms?
- Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Neon runs on Cloud.
- Can I use Neon for free?
- Yes. Neon 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 Neon is typically brought in for.
- What can Firebolt do that Neon cannot?
- Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Neon covers Serverless PostgreSQL, Database Branching, Autoscaling, Bottomless Storage. Both handle Web support.
Answered from the vendors’ own pages
Neon: What is Neon and what makes it different?
Neon is a serverless PostgreSQL database that separates compute and storage, enabling automatic scaling and instant database branching. After acquisition by Databricks in May 2025, pricing has been significantly reduced.
SourceNeon: Does Neon offer a free tier?
Yes, Neon's free tier includes 100 compute units per month and 0.5 GB of storage. This is suitable for development and small projects.
SourceNeon: What are the paid plans and pricing for Neon?
Neon offers consumption-based pricing on Launch ($0.106/CU-hour, approximately $15/month) and Scale ($0.222/CU-hour, approximately $31/month) plans with separate storage billing at $0.35/GB-month. No monthly minimum required.
SourceNeon: What features does Neon provide?
Neon includes git-like branching for database copies, point-in-time recovery, data anonymization for testing, managed authentication, serverless functions, and object storage that branches with projects.
SourceNeon: What compliance and reliability guarantees does Neon provide?
Neon's Scale tier offers 99.95% uptime SLA, HIPAA compliance, SOC2 certification, and private networking via PrivateLink at no extra cost.
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 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
- Firebolt vs Grafana Cloud
- Firebolt vs DigitalOcean
- Firebolt vs AWS (Amazon Web Services)
- Firebolt vs Lambda (AWS Serverless)
- Firebolt vs Deno Deploy
- Firebolt vs Heroku
- Firebolt vs Hetzner Cloud
- Firebolt vs Linode
- Firebolt vs Packer
- Firebolt vs Pulumi
- Firebolt vs Render
- Firebolt vs Upstash
- Firebolt vs Vagrant
- Firebolt vs Vultr
- Firebolt vs Akamai
- Firebolt vs Alibaba Cloud
- Firebolt vs Chef
- Firebolt vs Contabo
- Neon vs Cockroach Labs
- Neon vs PostgreSQL
- Neon vs Airtable
- Neon vs Amazon Aurora
- Neon vs Elasticsearch
- Neon vs PlanetScale
- Neon vs Azure SQL
- Neon vs ClickHouse
- Neon vs Couchbase
- Neon vs DuckDB
- Neon vs DynamoDB
- Neon vs MariaDB
- Neon vs Oracle Database
- Neon vs Amazon RDS
- Neon vs Amazon Redshift
- Neon vs Apache Druid
- Neon vs Cassandra
- Neon vs CouchDB
- Neon vs Grafana Cloud
- Neon vs DigitalOcean
- Neon vs AWS (Amazon Web Services)
- Neon vs Lambda (AWS Serverless)
- Neon vs Deno Deploy
- Neon vs Heroku
- Neon vs Hetzner Cloud
- Neon vs Linode
- Neon vs Packer
- Neon vs Pulumi
- Neon vs Render
- Neon vs Upstash
- Neon vs Vagrant
- Neon vs Vultr
- Neon vs Akamai
- Neon vs Alibaba Cloud
- Neon vs Chef
- Neon vs Contabo

