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Google Cloud Application Integration

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
Pay-as-you-go
Free Trial
Free version
User corporate size
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Medium
Large
User industry
  1. Healthcare and life sciences
  2. Energy and utilities
  3. Banking and insurance

What is Google Cloud Application Integration

Google Cloud Application Integration is an integration platform-as-a-service (iPaaS) on Google Cloud for building, orchestrating, and managing integrations across cloud services, SaaS applications, and APIs. It targets integration developers and platform teams that need workflow orchestration, event-driven integrations, and API-centric connectivity within Google Cloud environments. The product combines visual integration design with managed runtime and connects to other Google Cloud services for security, monitoring, and operations.

pros

Native Google Cloud integration

It integrates closely with Google Cloud services such as IAM for access control and Cloud Logging/Monitoring for operational visibility. This can simplify governance and observability for teams already standardizing on Google Cloud. It also aligns with Google Cloud networking and security patterns, which can reduce the need for separate tooling in GCP-centric architectures.

Managed orchestration and workflows

It provides managed orchestration for multi-step integrations, including workflow-style logic and event-driven patterns. This supports common iPaaS use cases like syncing systems, automating business processes, and coordinating API calls across services. The managed nature reduces the need to operate custom integration infrastructure compared with self-hosted approaches.

Connector-based integration approach

It supports building integrations using connectors and reusable components, which can speed up delivery for common application and data sources. A connector approach can reduce custom code for standard authentication and API interactions. This is useful for organizations that need many repeatable integrations across business systems and internal services.

cons

GCP-centric operational model

The product fits best when Google Cloud is the primary platform for identity, networking, and operations. Organizations with multi-cloud-first standards may need additional design effort to align with existing tooling and governance outside GCP. This can increase complexity compared with tools designed to be equally native across multiple clouds.

Learning curve for integration teams

Teams often need familiarity with Google Cloud concepts (projects, IAM, service accounts, logging/monitoring) to operate integrations effectively. Integration developers coming from lightweight point tools may face a steeper onboarding process. Advanced patterns (error handling, retries, idempotency, and eventing) still require careful design and testing.

Not a dedicated reverse-ETL tool

While it can move and transform data as part of integrations, it is not purpose-built for analytics-to-operational activation workflows in the way specialized reverse-ETL products are. Data modeling, warehouse-native transformations, and business-user activation features may require complementary tooling. For high-volume ELT-style pipelines, teams may prefer data-engineering-focused services within their stack.

Plan & Pricing

Pricing model: Pay-as-you-go (primary), with Subscription option available Free tier/trial: Free tier available (up to 400 integration executions, 20 GiB data processed per month, first 2 connection nodes for Google services). Application Integration is also available as part of the Google Cloud free trial/free credit. Pay-as-you-go pricing (official):

  • Integration executions: $0.50 for every 1,000 executions (i.e. $0.0005 per execution).
  • Connection nodes (Google Cloud service connectors): $0.35 per node, per hour. First two connection nodes for Google services are free.
  • Connection nodes (third-party application connectors): $0.70 per node, per hour.
  • Data processed: 20 GiB free per month; additional data charged at $10 per GiB.
  • Notes: Connection node billing is charged per minute (minimum billable 1 minute). Connector versions in preview have no charge; some preview notes indicate custom/marketplace connector pricing change at GA.

Subscription (Annual) option (official entitlements; contact sales for pricing):

  • Base subscription entitlements (2024 plan): 24 million integration calls per year, 50 Application Connector units, up to 3,600 GiB of data processing, up to 3,600 GiB of Connector data processing.
  • Add-ons (examples): Application Integration 50M Call Pack (adds 50M integration calls/year + additional data processing GBs); Application Connector 50 Unit Pack (adds 50 connector units).
  • Pricing: Contact Google Cloud sales for custom quote (subscription price not listed on site).

Discounts / other costs:

  • Networking costs (eg. Cloud Storage, data egress) are billed separately; refer to respective network product pricing.
  • Volume/commitment discounts not published on the public pricing page — subscription/contact sales for bulk/add-on pricing.

Example costs:

  • 10,000 executions (pay-as-you-go): $5.00
  • 100 GiB additional data processed (beyond free 20 GiB): $1,000
  • One third-party connection node running 1 hour: $0.70

Additional notes/limitations (official):

  • Free tier is limited to integrations with Google Cloud services only.
  • Some connector/node pricing differs during preview and GA per product docs.

Seller details

Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/

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