Databases · head to head
BigQuery vs Cyfe

BigQuery
Databases
Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.
- From
- Free
- Rated
- -
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.; Cyfe dashboards are the billing unit, at 2 on the $29 Starter plan and 5 on the $39 Standard plan
- They diverge on capability: BigQuery covers Serverless compute, Cyfe covers Pre-built Widgets.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery and Cyfe actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Cyfe
- Pre-built Widgets
- Custom Metrics
- Historical Data
- White-labeling
- Embedding
- Google Analytics
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 Cyfe
- Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Cyfe
- Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Cyfe
- Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Cyfe
Cyfe
- Building business dashboards from marketing, sales and finance sourcesnot BigQuery
- Displaying live metrics on office screens and shared public URLsnot 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.
Cyfe
- Dashboards are the billing unit, at 2 on the $29 Starter plan and 5 on the $39 Standard plan
- Users are capped separately, at 1 on Starter and 2 on Standard, so a two person team needs the second tier for seats alone
- Unlimited users only appears on the $119 Premier plan
- Additional dashboards beyond a plan are $5 each
- The Agency plan includes 10 clients with further clients at $19 each
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
Cyfe
Free- Starter$29/month
- 2 Dashboards
- 1 User
- 14-day free trial
- Standard$39/month
- 5 Dashboards
- 2 Users
- 14-day free trial
- Pro$65/month
- 10 Dashboards
- 5 Users
- 14-day free trial
- Premier$119/month
- 20 Dashboards
- Unlimited Users
- Additional dashboards available at $5 per dashboard
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.
Choose Cyfe if
- You need pre-built widgets.
- You want to start without paying.
- You work on Web, Mobile, Tv.
- You also want custom metrics.
Questions people ask
- Is BigQuery or Cyfe better?
- Neither clearly leads. BigQuery starts at Free and Cyfe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery or Cyfe?
- BigQuery starts at Free and Cyfe at Free.
- Does BigQuery or Cyfe run on more platforms?
- BigQuery runs on Web, Cloud API. Cyfe runs on Web, Mobile, Tv.
- 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 Cyfe is typically brought in for.
- What can BigQuery do that Cyfe cannot?
- BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Cyfe covers Pre-built Widgets, Custom Metrics, Historical Data, White-labeling.
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.
Cyfe: How much does Cyfe cost?
Cyfe offers five subscription plans: Starter at $29/month (2 dashboards, 1 user), Standard at $39/month (5 dashboards, 2 users), Pro at $65/month (10 dashboards, 5 users), Premier at $119/month (20 dashboards, unlimited users), and Agency at $190/month (100 dashboards, 15 users, 10 clients).
SourceBigQuery: 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.
Cyfe: What features are included in all Cyfe plans?
All Cyfe tiers include unlimited history, TV mode for dashboard displays, public shareable URLs, custom logos and themes, custom SSL domain support, unlimited data exports, and embedded analytics capabilities. The 14-day free trial is available for every plan.
SourceBigQuery: 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.
Cyfe: What is included in Cyfe's Agency plan?
The Agency plan at $190/month includes 100 dashboards, 15 users, and 10 clients. Additional clients cost $19 each. The plan provides 100% white label branding, branded widgets, custom CSS, and full client management features.
SourceBigQuery: 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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- Cyfe vs TiDB
- Cyfe vs Apache Druid
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- Cyfe vs PlanetScale
- Cyfe vs turbopuffer
- Cyfe vs VerneMQ
- Cyfe vs Vespa
- Cyfe vs Xata
- Cyfe vs YugabyteDB
- Cyfe vs Zilliz
- Cyfe vs Amazon RDS
- Cyfe vs Apache Flink
- Cyfe vs DynamoDB
- Cyfe vs Databox
- Cyfe vs Amazon QuickSight
- Cyfe vs Power BI
- Cyfe vs Sisense
- Cyfe vs MicroStrategy
- Cyfe vs Klipfolio
- Cyfe vs Grow
- Cyfe vs DashThis
- Cyfe vs Luzmo
- Cyfe vs Reportz
- Cyfe vs Hex
- Cyfe vs Deepnote
- Cyfe vs ThoughtSpot
- Cyfe vs Cube
- Cyfe vs Pigment
- Cyfe vs Evidence

