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.
Neither quite fits? Every other option, ranked by iScore: Neo4j alternatives · TigerData alternatives
9 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 | ||
| Free tier | Yes | Yes — Free services are in beta, us-east-1 only, and go read-only at the storage limit. |
| Kind of free offer | Free tier | Free tier |
| Credit card to start | No | No |
| 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. |
| Infrastructure | ||
| Regions | AWS, Azure and Google Cloud, across more than 60 global cloud regions; also available through the AWS, Azure and Google Cloud marketplaces. | 13 AWS regions (US, Canada, Sao Paulo, Ireland, London, Frankfurt, Zurich, Mumbai, Singapore, Sydney, Tokyo) and 4 Azure regions for Tiger Cloud services |
| 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 | Limited — Secondaries are a Business Critical and Virtual Dedicated Cloud feature; not on Free or Professional. | 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. | One full backup weekly plus daily incrementals, kept for the plan recovery period; Enterprise can set 14-180 days; cross-region copies always kept 14 days |
| Support | ||
| Support on entry paid plan | Four tiered packages — Essential, Regional, Global and Signature — with service level targets set by issue severity. | Basic support, 9-5 ET, on the entry plan. Enterprise adds production support at 24x7. |
| Response time commitment | As fast as 30 minutes for a Severity 1 outage under Signature, the top of four packages. The lower tiers are not given a number on this page. | 1 hour for Sev 1, on Enterprise only. The entry plan publishes opening hours, 9-5 ET, which is not a response commitment. |
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 ↗
“AuraDB Professional $65 /GB/month* (minimum 1GB cluster) [...] AuraDB Professional pricing 14-day free trial available. Try it now. Memory CPU Storage Hourly Monthly 1GB 1CPU 2GB $0.09/hour $65.70/month”
Read 2026-09-13 · official pricing · Report a correction
- 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 · Report a correction
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 Pause your database when not in use and save 80% of running costs. [...] Capacity-based consumption pricing Included in your price: Storage, IO, Backup, and Data Transfer.”
Read 2026-09-13 · official pricing · Report a correction
- 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 · Report a correction
Regions
- Neo4j
- AWS, Azure and Google Cloud, across more than 60 global cloud regions; also available through the AWS, Azure and Google Cloud marketplaces.
- TigerData
- 13 AWS regions (US, Canada, Sao Paulo, Ireland, London, Frankfurt, Zurich, Mumbai, Singapore, Sydney, Tokyo) and 4 Azure regions for Tiger Cloud services
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“AuraDB is available on AWS, Microsoft Azure, and Google Cloud. You can deploy AuraDB in over 60 global cloud regions. [...] AuraDB on AWS Marketplace AuraDB on Azure Marketplace AuraDB on Google Cloud Marketplace”
Read 2026-09-13 · official pricing · Report a correction
- Supported regions | Tiger Data Docs ↗
“Tiger Cloud services run in the following Amazon Web Services (AWS) regions: [...] Tiger Cloud services run in the following Microsoft Azure regions:”
Read 2026-09-13 · official docs · Report a correction
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 · Report a correction
- 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 · Report a correction
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 ↗
“Daily backups, 7-day retention Available on Azure, AWS, and Google Cloud [...] Daily backups with 30-day retention and hourly point-in-time restore Role-based access control with granular security”
Read 2026-09-13 · official pricing · Report a correction
- Pricing — TigerData ↗
“Point-in-time-recovery to 3 days Performance Insights Basic support (9-5 ET)”
Read 2026-09-06 · official pricing · Report a correction
Read replicas
- Neo4j
- Limited — Secondaries are a Business Critical and Virtual Dedicated Cloud feature; not on Free or Professional.
- TigerData
- Supported
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Secondaries Not Included Not Included Included Included Vector Optimization Not Included Included Included Included”
Read 2026-09-13 · official pricing · Report a correction
- Pricing — TigerData ↗
“Horizontal read scaling with read replicas [...] Single-node high-availability replicas”
Read 2026-09-06 · official pricing · Report a correction
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.
- TigerData
- One full backup weekly plus daily incrementals, kept for the plan recovery period; Enterprise can set 14-180 days; cross-region copies always kept 14 days
Sources (2) →Sources ↓
- Neo4j Pricing ↗
“Daily backups, 7-day retention Available on Azure, AWS, and Google Cloud [...] Daily backups with 30-day retention and hourly point-in-time restore [...] Hourly backups with 60-day retention”
Read 2026-09-13 · official pricing · Report a correction
- Back up and recover services | Tiger Data Docs ↗
“Tiger Cloud automatically creates one full backup every week, and incremental backups every day in the same region as your service. [...] on Enterprise you can set a retention period of up to 180 days for each service. [...] Cross-region backups are always kept for 14 days.”
Read 2026-09-13 · official docs · Report a correction
Support on entry paid plan
- Neo4j
- Four tiered packages — Essential, Regional, Global and Signature — with service level targets set by issue severity.
- TigerData
- Basic support, 9-5 ET, on the entry plan. Enterprise adds production support at 24x7.
Sources (2) →Sources ↓
- Neo4j Product & Support Terms ↗
“support is delivered through four tiered packages-essential, regional, global, and signature-with defined service level targets (slt) based on severity.”
Read 2026-09-14 · official site · Report a correction
- Tiger Data Pricing ↗
“point-in-time-recovery to 3 days performance insights basic support (9-5 ET) [...] production support (24x7, 1 hour response time for sev 1 issues)”
Read 2026-09-14 · official pricing · Report a correction
Response time commitment
- Neo4j
- As fast as 30 minutes for a Severity 1 outage under Signature, the top of four packages. The lower tiers are not given a number on this page.
- TigerData
- 1 hour for Sev 1, on Enterprise only. The entry plan publishes opening hours, 9-5 ET, which is not a response commitment.
Sources (2) →Sources ↓
- Neo4j Product & Support Terms ↗
“severity 1 issues (critical production outages) receive prioritized 24×7 attention for higher tiers, with response times as fast as 30 minutes under the signature package.”
Read 2026-09-14 · official site · Report a correction
- Tiger Data Pricing ↗
“enterprise SLAs production support (24x7, 1 hour response time for sev 1 issues) enterprise expert services”
Read 2026-09-14 · official pricing · Report a correction
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 — except where we say we read the other provider's own page on a given date and it does not state it. Those rows lean, and the provider can correct them with a link.
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.

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