Softwr

Databases · head to head

BigQuery vs Enphase Enlighten

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
E

Enphase Enlighten

Energy

Microinverter monitoring and management platform

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.; Enphase Enlighten only works with Enphase microinverter systems, not compatible with other solar equipment
  • They diverge on capability: BigQuery covers Serverless compute, Enphase Enlighten covers Real-time monitoring.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Enphase Enlighten actually diverge.

Attributes where BigQuery and Enphase Enlighten differ
AttributeBigQueryEnphase Enlighten
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APIWeb, iOS, Android
CategoryDatabasesEnergy
Founded20082006

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 Enphase Enlighten

  • Real-time monitoring
  • Per-module performance
  • Alert notifications
  • Mobile app
  • API access
  • SunPower
  • Tesla
  • SSL encryption

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 Enphase Enlighten
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Enphase Enlighten
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Enphase Enlighten
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Enphase Enlighten

Enphase Enlighten

  • System monitoringnot BigQuery
  • Performance optimizationnot 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.

Enphase Enlighten

  • Only works with Enphase microinverter systems, not compatible with other solar equipment
  • Requires 10-year paid subscription after initial free period for core monitoring
  • Cloud-based system requiring internet connection for real-time data access

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

Enphase Enlighten

Free

No published plan breakdown. See the Enphase Enlighten review.

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 Enphase Enlighten if

  • You need real-time monitoring.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want per-module performance.
Enphase Enlighten review

Questions people ask

Is BigQuery or Enphase Enlighten better?
Neither clearly leads. BigQuery starts at Free and Enphase Enlighten at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Enphase Enlighten?
BigQuery starts at Free and Enphase Enlighten at Free.
Does BigQuery or Enphase Enlighten run on more platforms?
BigQuery runs on Web, Cloud API. Enphase Enlighten runs on Web, iOS, Android.
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 Enphase Enlighten is typically brought in for.
What can BigQuery do that Enphase Enlighten cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Enphase Enlighten covers Real-time monitoring, Per-module performance, Alert notifications, Mobile app.

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.

Enphase Enlighten: Is Enphase Enlighten free to use?

The standard Enlighten app comes included with any Enphase microinverter system at no extra charge for the first 10 years from installation, after which it costs $49/year minimum.

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.

Enphase Enlighten: What is the cost for Enlighten Manager premium upgrade?

Enlighten Manager upgrade costs $9.99/month with month-to-month cancellation, or a one-time lifetime subscription is available through the Enphase store.

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.

Enphase Enlighten: What data does Enlighten monitor?

Enlighten pulls data from IQ Microinverters, the IQ Gateway, IQ Batteries, and Enphase EV chargers into a single monitoring view, showing near real-time panel-by-panel performance data.

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.

Enphase Enlighten: Does Enlighten send alerts for system issues?

Yes, Enlighten continuously monitors system performance and highlights deviations, with customers able to choose to receive alerts upon certain conditions.

Source
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.

Share

Related pages

More on BigQuery

More on Enphase Enlighten

Keep looking

Other head to heads