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Databases · head to head

BigQuery vs SolarWinds

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
S

SolarWinds

Energy

Solar asset performance monitoring and management

From
$2/kW/month
Rated
-
Full review

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • 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query into a large bill, and the cost is discovered after the fact rather than at review time.; SolarWinds website uses outdated NetObjects Fusion 2015 tools, suggesting legacy technical infrastructure
  • They diverge on capability: BigQuery covers Serverless compute, SolarWinds 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 SolarWinds actually diverge.

Attributes where BigQuery and SolarWinds differ
AttributeBigQuerySolarWinds
Starting priceFree$2/kW/month
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsWeb, Cloud APIWeb, Mobile, Api
CategoryDatabasesEnergy
Founded20082015

Identical on both: 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 SolarWinds

  • Real-time monitoring
  • Performance analytics
  • Alarm management
  • O&M workflows
  • Reporting
  • Benchmarking
  • Weather integration
  • Financial tracking

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

SolarWinds

  • Solar monitoringnot BigQuery
  • Performance optimizationnot BigQuery
  • O&M managementnot BigQuery
  • Portfolio reportingnot BigQuery
  • Investor reportingnot 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.

SolarWinds

  • Website uses outdated NetObjects Fusion 2015 tools, suggesting legacy technical infrastructure
  • No specific product models, brands, or technical specifications listed for offered solutions
  • Geographic service area boundaries unclear; only mentions San Francisco Bay Area and Central California
  • Minimal customer engagement features; lacks testimonials, project galleries, financing calculators, or online quote forms
  • Email contact discrepancy between display text ([email protected]) and actual mailto link ([email protected])

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

SolarWinds

$2/kW/month
  • Monitor$2/kW/month
    • Real-time monitoring
    • Performance tracking
    • Alerts
  • Optimize$4/kW/month
    • Advanced analytics
    • Degradation analysis
    • Benchmarking
  • Enterprise$undefined/custom
    • Portfolio management
    • Custom integrations
    • Financial modeling

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 SolarWinds if

  • You need real-time monitoring.
  • You work on Web, Mobile, Api.
  • You also want performance analytics.
SolarWinds review

Questions people ask

Is BigQuery or SolarWinds better?
Neither clearly leads. BigQuery starts at Free and SolarWinds at $2/kW/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or SolarWinds?
BigQuery has a free tier; the other does not. Paid plans start at Free for BigQuery and $2/kW/month for SolarWinds.
Does BigQuery or SolarWinds run on more platforms?
BigQuery runs on Web, Cloud API. SolarWinds runs on Web, Mobile, Api.
Can I use BigQuery for free?
Yes. BigQuery has a free tier, so you can try it without paying. SolarWinds starts at $2/kW/month.
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 SolarWinds is typically brought in for.
What can BigQuery do that SolarWinds cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. SolarWinds covers Real-time monitoring, Performance analytics, Alarm management, O&M workflows.

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.

SolarWinds: What geographic areas does SolarWinds Energy serve?

SolarWinds Energy serves the San Francisco Bay Area and Central California regions, but the exact service area boundaries are not clearly defined on their website.

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.

SolarWinds: What solar and renewable products does SolarWinds Energy offer?

SolarWinds Energy specializes in energy efficiency and renewable technologies including solar energy systems and attic ventilation solutions, but specific product models and technical specifications are not published online.

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.

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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