Neo4j vs TigerData
SEPT 2026 auditA comparison of Neo4j and TigerData 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 TigerData if…
Time-series and analytics workloads that want to stay in Postgres — TimescaleDB's compression is the reason the storage line is affordable at volume.
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.
- TigerData: The advertised storage price assumes 5x compression, so a workload that does not compress that well pays materially more than the figure suggests.
4 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
TigerData 0
At a glance.
| Criterion | Neo4j | TigerData |
|---|---|---|
| Pricing | ||
| 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. | Compute starts at $30/month on Performance, billed hourly, with storage charged separately. Scale starts at $36/month. |
| Pricing model | Usage-based, metered per GB-hour of memory on the Professional tier. A paused database cuts cost by roughly 80%. | Compute and storage are billed separately and hourly rather than as one plan price — compute from $30 a month, storage at $0.177 per GB-month, with the headline storage figure resting on an assumed 5x compression ratio. |
| Data | ||
| Engine | Neo4j, a native property graph database. | PostgreSQL with TimescaleDB, aimed at time-series, real-time analytics and events. A self-managed edition exists for on-prem and private cloud. |
| 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. | 3 days on Performance, with cross-region backups available for disaster recovery on higher tiers. |
| Read replicas | Supported | Supported |
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.
- TigerData
- Compute starts at $30/month on Performance, billed hourly, with storage charged separately. Scale starts at $36/month.
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 — TigerData ↗
“Performance Compute starts at $ 30 / month Storage priced at $0.177 / GB-month [...] Scale Most popular Compute starts at $ 36 / month”
Read 2026-09-06 · 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%.
- TigerData
- Compute and storage are billed separately and hourly rather than as one plan price — compute from $30 a month, storage at $0.177 per GB-month, with the headline storage figure resting on an assumed 5x compression ratio.
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Pause database, save 80% costs.”
Read 2026-09-11 · official pricing
- Pricing — TigerData ↗
“Pay as you go hourly Compute starts at $30/month Storage priced at $0.177/GB-month [...] Effective storage price is based on 5x compression (average customer savings).”
Read 2026-09-06 · official pricing
Engine
- Neo4j
- Neo4j, a native property graph database.
- TigerData
- PostgreSQL with TimescaleDB, aimed at time-series, real-time analytics and events. A self-managed edition exists for on-prem and private cloud.
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
- Pricing — TigerData ↗
“TimescaleDB Enterprise Self-managed TimescaleDB for on-prem, edge and private cloud Open source TimescaleDB Time-series, real-time analytics and events”
Read 2026-09-06 · official site
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.
- TigerData
- 3 days on Performance, with cross-region backups available for disaster recovery on higher tiers.
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
- Pricing — TigerData ↗
“Point-in-time-recovery to 3 days Performance Insights Basic support (9-5 ET)”
Read 2026-09-06 · official pricing
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 TigerData?
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.
TigerData: Compute starts at $30/month on Performance, billed hourly, with storage charged separately. Scale starts at $36/month.
Should I choose Neo4j or TigerData?
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 TigerData if Time-series and analytics workloads that want to stay in Postgres — TimescaleDB's compression is the reason the storage line is affordable at volume.