Xplorr
vs
GCP

Xplorr vs GCP Billing Console A GCP Billing alternative that adds AWS and Azure

GCP Billing Console is Google's native cost visibility tool. For GCP-only teams it covers the basics, though deep analysis requires BigQuery. This comparison explains exactly where each tool wins and when switching makes sense.

Quick Verdict

Best for multi-cloud teams: Xplorr

Best if GCP-only with BigQuery expertise: GCP Billing + BigQuery export

Get started free →

Summary comparison

FeatureXplorrGCP Billing Console
Multi-cloud supportAWS + Azure + GCPGCP only
Setup timeSelf serve, read onlyInstant (built-in)
Deep cost analysisRequires SQL on the BigQuery export
Statistical anomaly detectionBilling account scope
Slack integration
Microsoft Teams alertsIn development
AI-powered recommendationsRecommender API (per product)
PDF reports
Pricing modelFree plan, Growth $49/moFree (GCP included)
Data history13 monthsBilling month data

What GCP Billing Console does well

GCP Billing Console is a solid starting point for Google Cloud-native teams. Here's what it legitimately does well:

  • It's free and requires no setup

    Every GCP project automatically gets billing visibility. Summary-level spend by service, SKU, and project is available instantly, no configuration required.

  • BigQuery export enables deep analysis

    For teams with BigQuery expertise, exporting billing data gives you per-resource cost attribution, custom label analysis, and arbitrarily complex SQL queries. It's a powerful option if your team has the skills.

  • Budget alerts and Pub/Sub integration

    GCP Budgets can publish to Pub/Sub topics, enabling programmatic integration with any system. For teams building custom alerting infrastructure, this is flexible and powerful.

Where GCP Billing Console falls short

  • GCP only, no AWS or Azure visibility

    The Billing Console shows nothing outside Google Cloud. Multi-cloud teams must manage separate tools for AWS and Azure alongside it.

  • Deep analysis requires BigQuery setup

    The console itself provides only summary-level data. Meaningful analysis (per-resource cost, label breakdowns, daily trends) requires enabling billing export to BigQuery, creating a dataset, and writing SQL. This is a non-trivial engineering investment.

  • Anomaly detection stops at the GCP billing account

    Cloud Billing detects cost anomalies automatically against your historical spend and notifies by email or Pub/Sub. It covers GCP only, and routing those notifications anywhere other than email still means building on Pub/Sub yourself.

  • No PDF reports for finance teams

    There's no built-in way to generate a formatted cost report. Sharing costs with clients or finance requires either CSV exports with manual formatting or building a custom data pipeline from BigQuery to a BI tool.

  • Sharing billing access requires IAM role grants

    To give finance or external clients read-only billing visibility, you must grant them an IAM role on your billing account or project. For external stakeholders this is a meaningful security surface. You're granting cloud console access to share a number.

  • No native Slack integration

    Budget alerts can route to Pub/Sub, which can feed a Cloud Function that posts to Slack. But this is bespoke infrastructure you have to build, test, and maintain, not a first-party Slack integration.

Why teams switch to Xplorr

Three scenarios where Xplorr solves problems GCP Billing Console can't.

1

You run workloads on GCP and at least one other cloud

GCP Billing is completely blind to your AWS or Azure spend. If your data pipeline runs on BigQuery but your app servers are on EC2, you have two separate billing consoles, two separate anomaly surfaces, and two separate reports to send to finance each month. Xplorr gives you one unified view.

2

Your team doesn't want to write SQL against the billing export

The GCP Billing Console only shows summary-level spend data. For any meaningful analysis (cost by label, per-resource spend, day-over-day breakdown), you need to set up a BigQuery billing export, create a dataset, and build queries or connect a BI tool. Xplorr reads that same export once it is enabled, so the queries and dashboards on top are the part it removes.

3

Finance needs reports without IAM access

Sharing GCP cost data with finance or external clients requires granting them an IAM role on your billing account or project. This is a security risk many teams are uncomfortable with. Xplorr lets you generate a PDF or Excel report with a click and email it to anyone, no IAM role required.

Detailed feature comparison

FeatureXplorrGCP Billing Console
AWS cost data
Azure cost data
GCP cost data
Unified multi-cloud dashboard
Cost breakdown by project
Cost breakdown by service
Cost breakdown by label (tag)
Month-over-month trend viewLimited in console
Detailed cost analysis without writing SQL
Custom SQL on the raw billing export
Budget threshold alerts
Email alerts
Pub/Sub budget notifications
Idle resource detectionRecommender API
Committed Use Discount advisorPartial (Recommender API)
Excel / CSV exportCSV only (manual)
Scheduled report emails
Finance-friendly read-only accessRequires IAM role grant
Cost forecastingBasic
API access
Daily cost digest (Slack)
Weekly AI executive summary
Approval workflowsEnterprise plan
WebAuthn / passkeys
Tag policy compliance scoring
Unit economics (cost per metric)
MCP server for AI assistants
Setup requiredRead-only service accountNone (built-in)

Common questions about switching

Why does deep GCP cost analysis require BigQuery?+
The GCP Billing Console provides a reasonable high-level breakdown, but Google designed the detailed billing data to be exported to BigQuery for analysis. Features like per-resource cost attribution, daily granularity over longer periods, and custom label filtering all require the BigQuery billing export to be configured. This is a deliberate architectural choice by Google (BigQuery is their analytics product and it's excellent), but it creates significant setup overhead for teams that just want to understand their bill.
Does Xplorr need the BigQuery billing export?+
Yes. Xplorr reads GCP cost from the standard Cloud Billing export to BigQuery, using a service account with BigQuery Data Viewer and BigQuery Job User on the project that holds the dataset. What it removes is the work on top of the export: no SQL to write, no Looker Studio dashboards to build, and AWS and Azure in the same view. If you already have the export, Xplorr reads it as it is.
How do I give Xplorr access to my GCP billing data without security risk?+
Xplorr connects via a read-only GCP service account with the "Billing Account Viewer" role. This role allows reading billing data only. It cannot modify resources, create services, or change billing settings. We follow the principle of least privilege. See our Data Handling page for full details on how credentials are stored and protected.
Can I get Slack alerts when a GCP service cost spikes?+
Yes. Once you connect your GCP billing account to Xplorr and configure your Slack workspace, you'll receive Slack alerts whenever a GCP service's daily spend deviates significantly from its 7-day rolling average. The alert includes the affected project, service name, estimated monthly impact, and a direct link to investigate, the same format used for AWS and Azure alerts.

Key differences between Xplorr and GCP Billing Console

The most immediate practical difference is what you can see without additional setup. GCP Billing Console shows summary-level spend (totals by service, project, and billing account), but stops there. Anything more granular requires enabling the BigQuery billing export, creating a dataset, and writing SQL queries or connecting a BI tool. Xplorr reads that billing export for you once it is enabled, so you get per-service, per-project breakdowns with day-over-day trends without writing a query.

Multi-cloud scope is the second major difference. GCP Billing Console is entirely GCP-native. It cannot show AWS or Azure spend. Xplorr aggregates billing data from all three providers, which matters the moment any workload exists outside GCP. A single EC2 instance, a single Azure AD tenant, or a single SaaS tool running on AWS infrastructure creates a gap in GCP Billing Console's coverage.

On alerting, GCP Budgets support static dollar thresholds and Pub/Sub integration for custom programmatic notifications. Building Slack alerts requires a Cloud Function or Logic App consuming that Pub/Sub topic, custom infrastructure that needs to be written, deployed, and maintained. Xplorr provides first-party Slack integration with statistical anomaly detection out of the box, with no additional infrastructure required.

Reporting for non-technical stakeholders is notably better in Xplorr. GCP Billing Console supports CSV export only. There is no PDF report generation, no Excel export with formatting, and no scheduled delivery. Finance teams and external clients cannot receive automated cost reports without significant engineering work on top of the console's raw data.

When to choose Xplorr over GCP Billing Console

Choose Xplorr if you want detailed GCP cost analysis without building queries or Looker Studio dashboards. You still enable the standard BigQuery billing export, which Google needs for any detailed cost data, but Xplorr does the reading, so the SQL and the reporting layer are not yours to build and maintain.

Choose Xplorr if you run workloads on more than one cloud. Once AWS or Azure workloads exist alongside GCP, you need a tool that spans all three. Maintaining separate monitoring setups for each provider, and manually reconciling them into a coherent picture of total cloud spend, doesn't scale as your infrastructure grows.

Choose Xplorr if you need to get Slack alerts for GCP cost anomalies without building a Pub/Sub-to-Slack pipeline. First-party Slack integration that works the same way across AWS, Azure, and GCP is a meaningful operational advantage. One Slack channel covers everything rather than three separate notification systems each requiring their own configuration and maintenance.

GCP Billing Console with BigQuery export is the right choice for teams with deep BigQuery expertise who need highly custom analytics: complex label breakdowns, per-resource attribution at scale, or integration with an existing data warehouse. In that scenario, BigQuery's flexibility outpaces what any SaaS cost management tool provides. For everyone else, Xplorr reads the same export without the query work.

GCP cost data without the SQL

Point Xplorr at your BigQuery billing export with a read only service account. Add AWS or Azure whenever you're ready. Start free, no credit card required.

Get started freeSee how it works