NeonNeon vs ObsessionDB: Which is Better in 2026?
A comprehensive comparison of Neon and ObsessionDB covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Neon if:
- →You want more affordable paid plans (from $19/mo)
- →You need serverless postgres or auto-scaling
Choose ObsessionDB if:
- →You need nvme cache mesh keeps hot data in the query path with 100% cache hit targets or s3 persistence is write-only and never sits in the query path
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Neon vs ObsessionDB: At a Glance
Pricing Comparison: Neon vs ObsessionDB
Understanding the pricing differences between Neon and ObsessionDB is crucial for making the right choice. Here's how their plans compare side by side.
ObsessionDB Pricing
💡 Pricing takeaway: Both Neon and ObsessionDB offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Neon and ObsessionDB stacks up.
What Makes Each Tool Unique
🔵 Unique to Neon
Features available in Neon but not in ObsessionDB:
- ✓Serverless Postgres
- ✓Auto-scaling
- ✓Database branching
- ✓Scale to zero
- ✓Point-in-time restore
- ✓Read replicas
🟣 Unique to ObsessionDB
Features available in ObsessionDB but not in Neon:
- ✓NVMe cache mesh keeps hot data in the query path with 100% cache hit targets
- ✓S3 persistence is write-only and never sits in the query path
- ✓Live sizing calculator that prices against other managed ClickHouse one-to-one
- ✓Free ingress and egress
- ✓Workload presets for real-time, observability and BI shapes
- ✓Free developer instance and a pre-commitment performance audit
Use Case Recommendations
Best for: Neon
Serverless Postgres with automatic scaling and branching. Neon provides instant database provisioning, scale-to-zero, and database branching for modern development workflows.
Ideal use cases:
- •Teams or individuals who need serverless postgres
- •Teams or individuals who need auto-scaling
- •Teams or individuals who need database branching
- •Teams or individuals who need scale to zero
- •Anyone focused on database workflows
- •Anyone focused on postgres workflows
Best for: ObsessionDB
ObsessionDB is managed ClickHouse hosting built around a single complaint: on most managed ClickHouse services the bill scales faster than the query volume, so teams end up paying substantially more each year just to hold latency where it already was. The architecture answer is a cache mesh — a cluster of NVMe-backed nodes that keep hot data resident in the query path, with S3 used as a write-only durability layer that never sits between a client and its results. The practical effect the vendor publishes is that p99 latency stays flat as a dataset grows from one terabyte to a petabyte while cost per query falls, which inverts the usual pattern where both degrade together. Clients connect over ordinary SQL through the standard ClickHouse drivers, so it is a hosting swap rather than a migration to a new query language. The pricing page is a live calculator rather than a plan ladder: you set compressed storage, memory per node and node count, pick a workload preset for real-time, observability or BI shapes, and it prices the cluster against a one-to-one comparison with other managed ClickHouse offerings. Ingress and egress are not metered. There is a free developer instance for evaluation, and the team offers a performance audit before you commit, which suits the case where you already run ClickHouse somewhere and want the comparison on your own workload rather than on a benchmark.
Ideal use cases:
- •Teams or individuals who need nvme cache mesh keeps hot data in the query path with 100% cache hit targets
- •Teams or individuals who need s3 persistence is write-only and never sits in the query path
- •Teams or individuals who need live sizing calculator that prices against other managed clickhouse one-to-one
- •Teams or individuals who need free ingress and egress
- •Anyone focused on clickhouse workflows
- •Anyone focused on olap workflows
📊 Other Data & Analytics Tools to Consider
Neon and ObsessionDB aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is Neon better than ObsessionDB?
It depends on your needs. Neon offers 6 key features including Serverless Postgres and Auto-scaling, while ObsessionDB provides 6 features including NVMe cache mesh keeps hot data in the query path with 100% cache hit targets and S3 persistence is write-only and never sits in the query path. Neon uses a freemium model with a free tier, while ObsessionDB is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Neon cheaper than ObsessionDB?
Neon is cheaper, starting at $19/month compared to ObsessionDB's $3,840/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Neon and ObsessionDB together?
Yes, many users combine Neon and ObsessionDB in their workflow. Neon excels at serverless postgres, while ObsessionDB shines with nvme cache mesh keeps hot data in the query path with 100% cache hit targets. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Neon and ObsessionDB?
While both are data & analytics tools, Neon emphasizes serverless postgres, whereas ObsessionDB is known for nvme cache mesh keeps hot data in the query path with 100% cache hit targets. The best choice depends on your specific workflow and feature priorities.
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