Neo4j vs Neon
SEPT 2026 auditA comparison of Neo4j and Neon built from values read directly from each provider's own documentation, with the source recorded against every figure.
The short answer
Choose Neo4j if…
Teams whose data is naturally relationships-first — recommendation engines, fraud detection, knowledge graphs — where the query itself is a graph traversal Cypher expresses directly and a relational join chain would not.
Editorial · Palash Bagchi · approved
Choose Neon if…
Workloads that are idle most of the time, and teams who want a real database per pull request. Compute suspends after five minutes and storage is billed separately, so a staging branch costs almost nothing while nobody is using it.
Editorial · Palash Bagchi · approved
Consider something else if…
- Neo4j: The data model is tabular and the graph shape is incidental — most CRUD apps fit a relational or document database better, and Neo4j's per-GB memory pricing is a worse fit for large flat datasets than a row-store.
- Neon: You need predictable monthly billing. Usage pricing with no minimum fee cuts both ways, and a runaway query on an autoscaling compute is billed at the rate it ran.
7 sourced criteria separate them — see where, with sources, below.
Pick the criteria you care about. The chart counts how many of them lean toward each provider — the same read as scanning the bars below, just totalled for the ones you chose.
Neo4j 0
Neon 0
At a glance.
| Criterion | Neo4j | Neon |
|---|---|---|
| Pricing | ||
| Free tier | Yes | Yes |
| Entry paid plan | $65/GB/month (minimum 1GB cluster) on AuraDB Professional, or $0.09/hour ($65.70/month for 1GB) metered hourly. 14-day free trial available. | No fixed monthly fee. Launch is usage-based — Neon's own worked example puts typical spend at $15/month for intermittent load on 1 GB — so there is no entry price to compare, only a rate card. Recorded without a magnitude because a vendor's spend estimate is not a price. |
| Pricing model | Usage-based, metered per GB-hour of memory on the Professional tier. A paused database cuts cost by roughly 80%. | Usage-based with no minimum monthly fee on paid plans: $0.106/CU-hour compute and $0.35/GB-month storage on Launch, $0.222/CU-hour on Scale |
| Startup credit program | Neo4j for Startups: up to $16K in Aura credits. Requires Series B or earlier funding, a single product sold to many customers (not custom per-customer work), a functioning website, and a company LinkedIn profile. | Via the Databricks Startup Program: up to $1,000 in Neon credits for self-funded startups (<$1M raised), or up to $200K in Neon and Databricks credits for VC-backed startups (≥$1M raised) or accelerator participants. Credits valid 12 months from acceptance. |
| Infrastructure | ||
| Regions | AWS, Azure and Google Cloud, across more than 60 global cloud regions; also available through the AWS, Azure and Google Cloud marketplaces. | 8 AWS regions: N. Virginia, Ohio, Oregon, Frankfurt, London, Singapore, Sydney, São Paulo. A project's region is fixed at creation and cannot be changed. |
| Data | ||
| Engine | Neo4j, a native property graph database. | PostgreSQL |
| Point-in-time recovery | Not included on the entry-paid (Professional) tier — point-in-time restore is a Business Critical feature, with hourly granularity and 30-day retention. | History window of 6 hours up to 1 GB-month on Free, up to 7 days on Launch, up to 30 days on Scale |
| Read replicas | Supported | Supported |
| Backup retention | Daily backups, 7-day retention on the entry-paid (Professional) tier. Business Critical adds 30-day retention with hourly point-in-time restore; Virtual Dedicated Cloud gets hourly backups with 60-day retention. | 1 day of history on paid plans by default and 6 hours on Free, configurable up to 7 days on Launch or 30 days on Scale. Neon notes that widening the window raises storage cost, so the ceiling is a paid choice rather than an included allowance. |
Where they differ.
Entry paid plan
- Neo4j
- $65/GB/month (minimum 1GB cluster) on AuraDB Professional, or $0.09/hour ($65.70/month for 1GB) metered hourly. 14-day free trial available.
- Neon
- No fixed monthly fee. Launch is usage-based — Neon's own worked example puts typical spend at $15/month for intermittent load on 1 GB — so there is no entry price to compare, only a rate card. Recorded without a magnitude because a vendor's spend estimate is not a price.
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“$65/GB/month, minimum 1GB cluster. 14-day free trial available. 1GB costs $0.09/hour or $65.70/month.”
Read 2026-09-11 · official pricing
- Pricing — Neon ↗
“Launch Usage-based Typical spend: $ 15 /mo Based on: Intermittent load , 1 GB Get started”
Read 2026-09-07 · official pricing
Pricing model
- Neo4j
- Usage-based, metered per GB-hour of memory on the Professional tier. A paused database cuts cost by roughly 80%.
- Neon
- Usage-based with no minimum monthly fee on paid plans: $0.106/CU-hour compute and $0.35/GB-month storage on Launch, $0.222/CU-hour on Scale
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Pause database, save 80% costs.”
Read 2026-09-11 · official pricing
- Neon plans — Neon Docs ↗
“On Launch and Scale plans, you pay only for what you use; there's no minimum monthly fee. Usage for compute, storage, extra branches, and other features is billed at the published rates”
Read 2026-09-05 · official pricing
Startup credit program
- Neo4j
- Neo4j for Startups: up to $16K in Aura credits. Requires Series B or earlier funding, a single product sold to many customers (not custom per-customer work), a functioning website, and a company LinkedIn profile.
- Neon
- Via the Databricks Startup Program: up to $1,000 in Neon credits for self-funded startups (<$1M raised), or up to $200K in Neon and Databricks credits for VC-backed startups (≥$1M raised) or accelerator participants. Credits valid 12 months from acceptance.
Sources (2) →Sources ↓
- Neo4j for Startups ↗
“up to $16K in Aura credits. Series B or earlier. Startups building a single product for many customers, not a custom product for individual customers.”
Read 2026-09-11 · official site
- Neon Startup Program ↗
“Self-Funded: Early-stage, self-funded startups. Less than $1M in funding [...] Up to $1,000 in Neon credits. Venture-Backed: VC-backed startups with at least $1M in funding [...] Up to $200K in Neon and Databricks credits. Credits are valid for 12 months from the date of acceptance.”
Read 2026-09-11 · official site
Regions
- Neo4j
- AWS, Azure and Google Cloud, across more than 60 global cloud regions; also available through the AWS, Azure and Google Cloud marketplaces.
- Neon
- 8 AWS regions: N. Virginia, Ohio, Oregon, Frankfurt, London, Singapore, Sydney, São Paulo. A project's region is fixed at creation and cannot be changed.
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Available on Azure, AWS, and Google Cloud. You can deploy AuraDB in over 60 global cloud regions.”
Read 2026-09-11 · official pricing
- Regions — Neon Docs ↗
“Each Neon project exists in exactly one region. Your database runs in that region. You cannot change the region for an existing project. If you need your data in a different region, you create a new Neon project in that region and migrate your database there.”
Read 2026-09-05 · official docs
Engine
- Neo4j
- Neo4j, a native property graph database.
- Neon
- PostgreSQL
Sources (2) →Sources ↓
- Neo4j Aura documentation ↗
“Neo4j Aura is a fully automated graph platform offered as a cloud service.”
Read 2026-09-11 · official docs
- Connection pooling — Neon Docs ↗
“Each Postgres connection creates a new process in the operating system, consuming memory and CPU resources. Postgres limits the number of connections based on available RAM.”
Read 2026-09-05 · official docs
Point-in-time recovery
- Neo4j
- Not included on the entry-paid (Professional) tier — point-in-time restore is a Business Critical feature, with hourly granularity and 30-day retention.
- Neon
- History window of 6 hours up to 1 GB-month on Free, up to 7 days on Launch, up to 30 days on Scale
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Business Critical: Daily backups with 30-day retention and hourly point-in-time restore.”
Read 2026-09-11 · official pricing
- Neon plans — Neon Docs ↗
“History window 6 hours, up to 1 GB-month Up to 7 days Up to 30 days”
Read 2026-09-05 · official pricing
Backup retention
- Neo4j
- Daily backups, 7-day retention on the entry-paid (Professional) tier. Business Critical adds 30-day retention with hourly point-in-time restore; Virtual Dedicated Cloud gets hourly backups with 60-day retention.
- Neon
- 1 day of history on paid plans by default and 6 hours on Free, configurable up to 7 days on Launch or 30 days on Scale. Neon notes that widening the window raises storage cost, so the ceiling is a paid choice rather than an included allowance.
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Professional: Daily backups, 7-day retention. Business Critical: Daily backups with 30-day retention and hourly point-in-time restore. Virtual Dedicated Cloud: Hourly backups with 60-day retention.”
Read 2026-09-11 · official pricing
- Point-in-time restore — Neon Docs ↗
“Neon retains a history of changes for your branches, with defaults of 6 hours on Free plan and 1 day on paid plans. [...] You can configure it up to 7 days on Launch or 30 days on Scale plans.”
Read 2026-09-07 · official docs
When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.
Documented by only one.
These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing.
Questions this comparison answers.
Entry paid plan: Neo4j or Neon?
Neo4j: $65/GB/month (minimum 1GB cluster) on AuraDB Professional, or $0.09/hour ($65.70/month for 1GB) metered hourly. 14-day free trial available.
Neon: No fixed monthly fee. Launch is usage-based — Neon's own worked example puts typical spend at $15/month for intermittent load on 1 GB — so there is no entry price to compare, only a rate card. Recorded without a magnitude because a vendor's spend estimate is not a price.
Should I choose Neo4j or Neon?
Pick Neo4j if Teams whose data is naturally relationships-first — recommendation engines, fraud detection, knowledge graphs — where the query itself is a graph traversal Cypher expresses directly and a relational join chain would not.
Pick Neon if Workloads that are idle most of the time, and teams who want a real database per pull request. Compute suspends after five minutes and storage is billed separately, so a staging branch costs almost nothing while nobody is using it.