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Databases · head to head

BigQuery vs Neo4j

BigQuery logo

BigQuery

Databases

Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.

From
Free
Rated
-
Full reviewWebsite
Neo4j logo

Neo4j

Databases

The world's leading graph database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery on-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • They diverge on capability: BigQuery covers Serverless compute, Neo4j covers Native Graph Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Neo4j actually diverge.

Attributes where BigQuery and Neo4j differ
AttributeBigQueryNeo4j
Pricing modelusage-basedfreemium
PlatformsWeb, Cloud APILinux, Windows, Mac, Docker, Web
Founded20082007

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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 BigQuery

  • Serverless compute
  • Separation of storage and compute
  • Two pricing models
  • Partitioning and clustering
  • Materialised views
  • BigQuery ML
  • Storage Write API
  • BI Engine

Only in Neo4j

  • Native Graph Storage
  • Cypher Query Language
  • ACID Transactions
  • High Availability
  • Graph Data Science
  • Full-text Search
  • Native Indexes
  • GraphQL

What people use each for

The jobs each tool is most often brought in to do.

BigQuery

  • A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot Neo4j
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Neo4j
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Neo4j
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Neo4j

Neo4j

  • Graph database for learning and explorationnot BigQuery
  • Production workloads requiring high availability and multi-zone redundancynot BigQuery
  • Enterprise deployments needing custom infrastructurenot BigQuery

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

BigQuery

  • On-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.
  • There is no way to join tables that live in different regions, so a data estate split across regions for residency reasons has to be reconciled with copies and the storage and transfer that implies.
  • It is not built for point lookups; retrieving a single row has latency measured in hundreds of milliseconds or more, so BigQuery cannot serve an application's read path and always needs a second store in front of it.
  • Frequent small mutations run into DML concurrency limits and the cost of rewriting storage blocks, so a workload that updates individual rows continuously behaves badly compared with an append-only design.
  • The compute exists only inside Google Cloud, so while tables can be exported, the accumulated GoogleSQL, scheduled queries, authorised views, ML models and IAM structure do not move, and switching warehouses is a rewrite of the analytical layer.

Neo4j

  • AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • AuraDB Free imposes limits on node and relationship counts and runs single-zone only
  • SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
  • AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
  • AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
  • Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
  • Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
  • Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
  • AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment

Pricing, plan by plan

BigQuery

Free
  • Free TierFree
    • 1TB queries/month
    • 10GB storage/month
    • Standard support
  • On-demand$6.25/TB
    • Pay per query
    • Pay per storage
    • All features

Neo4j

Free
  • FreeFree
    • Learning and exploration access
    • No credit card required
    • All graph tools included
  • AuraDB Professional$65/GB/month
    • 1GB minimum cluster
    • Hourly billing available ($0.09/hour for 1GB)
    • Daily backups with 7-day retention
  • AuraDB Business Critical$146/GB/month
    • 2GB minimum cluster
    • Hourly billing available ($0.40/hour for 2GB)
    • Up to 512GB maximum
  • Virtual Dedicated Cloud$null/custom
    • Custom pricing via sales contact
    • Dedicated VPC infrastructure
    • Hourly backups with 60-day retention

Which should you pick?

Choose BigQuery if

  • You need serverless compute.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want separation of storage and compute.
BigQuery review

Choose Neo4j if

  • You need native graph storage.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want cypher query language.
Neo4j review

Questions people ask

Is BigQuery or Neo4j better?
Neither clearly leads. BigQuery starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Neo4j?
BigQuery starts at Free and Neo4j at Free.
Does BigQuery or Neo4j run on more platforms?
BigQuery runs on Web, Cloud API. Neo4j runs on Linux, Windows, Mac, Docker, Web.
Can I use BigQuery for free?
Both have a free tier, so you can try either at no cost before committing.
What is BigQuery best used for?
BigQuery is most often used for a warehouse for an organisation already on google cloud, where identity, logging and billing are consolidated in the same place, bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster running, event and clickstream analytics ingested continuously through the storage write api and queried without a load window, analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portability. Of those, a warehouse for an organisation already on google cloud, where identity, logging and billing are consolidated in the same place and bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster running are not what Neo4j is typically brought in for.
What can BigQuery do that Neo4j cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability.

Answered from the vendors’ own pages

BigQuery: How is BigQuery actually billed?

Storage is billed separately from compute. Compute is either on-demand, priced by the bytes a query reads from the referenced columns, or capacity-based, where you reserve autoscaling slots. Most cost surprises come from on-demand queries that scan more than expected.

Neo4j: Is Neo4j free?

Neo4j offers a free tier (AuraDB Free) for learning and exploration with no credit card required. Community Edition is also free and GPL3-licensed. Paid tiers start at $65/GB per month for AuraDB Professional.

Source
BigQuery: How do I control query cost?

Partition and cluster tables so queries prune data, select only the columns needed, use materialised views for repeated aggregations, and set maximum bytes billed on queries so a runaway scan fails instead of billing.

Neo4j: What does Neo4j's Professional tier include?

AuraDB Professional costs $65/GB per month with a 1GB minimum cluster, includes daily backups with 7-day retention, single-zone availability, and best-effort support. Hourly billing is available at $0.09/hour per GB.

Source
BigQuery: Can I use it without being on Google Cloud?

The service only runs on Google Cloud. BigQuery Omni can query data held in S3 or Azure storage, but the compute is still Google's and the account relationship is still with Google.

Neo4j: What is Neo4j's most advanced pricing tier?

AuraDB Business Critical costs $146/GB per month with a 2GB minimum and includes multi-zone redundancy, 99.95% uptime SLA, 24/7 premium support with one-hour response times, and point-in-time recovery.

Source
BigQuery: Is it suitable for serving application queries?

No. Latency for single-row reads is far too high. BigQuery is an analytical warehouse and application read paths need a transactional database or a cache in front of it.

BigQuery: When should I move from on-demand to capacity pricing?

When on-demand spend becomes both large and predictable, or when unpredictable spend is a bigger problem than query queueing. The switch trades a variable bill for a fixed one plus contention between workloads.

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