2026 Directory
Compare partners for data, GKE, AI and operations by their published work and the questions each proposal needs to answer.
Google Cloud consulting partner selection starts with the work you need delivered and who will operate it. Use this independent directory to compare 35 firms, beginning with the sourced examples below. Data, GKE, production AI and ongoing operations require different proof. Profile platform tags are navigation labels; verify current partner designations and team availability separately.
Looking for Google's own team? Google Cloud Consulting describes Google's services and collaboration with partners. This page helps you compare independent providers. Official service page checked .
The examples below come from provider service pages and customer cases. Our guidance identifies candidates to investigate; delivery quality still needs verification. Each workstream includes evidence and handover questions for the proposal.
Start with DoiT for published cost analysis and engineering support. This is service evidence; no named BigQuery customer case is included.
Request a comparable optimization reference and a baseline for query performance and cost. Agree who changes reservations or queries and who continues reviews after engineering access ends.
Compare Onix for its Evite Redshift-to-BigQuery case with Pythian for Cascades' SAP analytics. Choose by source system and operating needs.
Require reconciliation, report parity, cutover and rollback criteria, and training for your operators. Use the data and analytics directory for a wider specialist longlist.
Compare Pythian's AllSaints infrastructure, CI/CD and monitoring work with SADA's role in a joint support call with Google Cloud that resolved Heretto's GKE cluster issue before launch. Heretto's application rearchitecture was continuing at the time of the 2022 case.
For a platform build or ongoing operations, request an upgrade and rollback reference. Define cluster versus application ownership, escalation to Google, and the runbooks your team receives.
Investigate Onix for its reported Dialogflow CX chat and voice deployment for an unnamed US telecom. The case reports usage through June 2025. This is a specific customer-care application, not proof of every AI workstream.
Request a reference you can verify, grounding and evaluation results, data-access controls, human escalation, monitoring and cost limits. Specify model and intent-change ownership, test criteria and code handover. For other AI applications, qualify candidates from the full directory.
Pythian's AllSaints case describes shared monitoring between internal IT and Pythian. The reviewed sources do not establish an ongoing managed-service contract or MSP service levels. Browse the full directory for candidates, then verify their operational coverage.
Request a comparable operating reference and a sample responsibility matrix. Confirm covered projects and services, support hours, incident acknowledgement and resolution duties, changes, recovery tests, reporting, subcontractors and exit assistance. Keep Google's product availability commitments separate from the partner's obligations.
Before requesting prices, verify the proposed team and give finalists the same scope.
Compare DoiT's BigQuery cost service, Onix's data migration and customer-care AI cases, Pythian's SAP analytics and GKE modernization cases, and SADA's GKE support case. These describe different workstreams, not interchangeable bids. Onix's AI customer is unnamed; none of the sources below shows an ongoing MSP contract or service levels.
Firms are listed alphabetically. Service and case details come from the providers; we assess potential fit and suggest questions. Current partner designations, prices, delivery-team size and availability are unknown. Source check dates appear beside the links.
| Firm / workload | Published delivery / case evidence | Potential fit | Limits / handover questions |
|---|---|---|---|
| DoiT International BigQuery cost attribution and optimization Current official designation: Unknown. Check the official partner record before choosing a firm. | Published delivery / case evidence BigQuery billing export, INFORMATION_SCHEMA, job, storage and reservation data Cost analysis software and engineering support DoiT describes BigQuery cost attribution, anomaly detection, reservation planning and allocation. Its Forward Deployed Engineers implement optimizations. A separate service page describes cloud-specific engineering and FinOps support with scoped access for hands-on work. Product and service descriptions; no named Google Cloud customer case reviewed. | Potential fitYou need to understand BigQuery costs and have an engineer implement the changes. | Limits / handover questions Confirm the software and engineering services included. Data migration, application-platform delivery and managed incident response need separate evidence and scope. Who changes reservations or queries, and how will they measure performance and savings? When does engineering access end, and who continues cost reviews? |
| Onix Redshift-to-BigQuery migration; conversational customer-care AI Current official designation: Unknown. Check the official partner record before choosing a firm. | Published delivery / case evidence Evite: BigQuery, Dataflow, reporting, orchestration and Pelican validation. Telecom: Dialogflow CX Generators and Playbooks, Google LLMs, Salesforce, Genesys and Jira Data migration through handover; chat and voice agent deployment For Evite, Onix reports Redshift-to-BigQuery architecture design, data and code migration, Dataflow extraction, repointed reports, workflow orchestration, Pelican validation, testing, deployment and knowledge transfer. In a separate case, Onix reports deploying chat and voice agents with Dialogflow CX Generators and Playbooks for an unnamed US telecom. The work included Salesforce and Genesys integrations and Jira-based intent onboarding; reported usage runs through June 2025. Named customer: Evite. Separate vendor-reported AI deployment: unnamed US telecom. | Potential fitYou need a warehouse migration with report and workflow continuity, or customer-care AI integrated with contact-center systems. | Limits / handover questions Evite's future ML/AI possibilities are not an AI deployment. The telecom customer is unnamed; the case does not establish independent evaluation results, current service levels or proposed delivery-team availability. For data, who accepts reconciliation, report parity, cutover and rollback? For AI, who tests grounding and human escalation, approves new intents, owns account-data access and transfers code and operating runbooks? |
| Pythian SAP analytics on BigQuery; GKE application modernization Current official designation: Unknown. Check the official partner record before choosing a firm. | Published delivery / case evidence Cascades: BigQuery, Cortex, Composer, Storage, Dataproc, Looker and EDP QuickStart. AllSaints: Compute Engine, GKE, Jenkins, Terraform, Percona PMM and Google Stackdriver Analytics implementation and BI-team training; infrastructure, CI/CD and monitoring implementation Pythian's Cascades case describes security, identity and network review, followed by SAP BW data delivery to BigQuery using EDP QuickStart and Cortex. Cloud Composer handled orchestration, Cloud Storage provided redundancy, Dataproc transformed data and Looker supported reporting. Pythian reports training Cascades' BI team to operate the platform independently. Separately, its AllSaints case describes elastic Compute Engine and GKE architecture, Jenkins and Terraform CI/CD, and Percona Monitoring and Management with Google Stackdriver supplying diagnostic metrics to both internal IT and Pythian teams. Customer cases: Cascades for SAP analytics; AllSaints for infrastructure and observability. These are separate engagements; the AllSaints case is undated. | Potential fitYou need SAP analytics with BI-team training, or an application-platform project with infrastructure automation and shared monitoring. | Limits / handover questions Shared monitoring does not establish a current MSP contract, support hours or service levels. Confirm availability and ongoing support; request separate evidence for AI services. For analytics, who owns SAP mappings, reconciliation and BI-team acceptance? For GKE, who owns upgrades, pipeline repositories, Terraform state, alerts, incident escalation and runbooks? |
| SADA GKE troubleshooting and cloud cost guidance Current official designation: Unknown. Check the official partner record before choosing a firm. | Published delivery / case evidence Google Kubernetes Engine; cost guidance for GKE, Cloud Run and Cloud Functions Support escalation alongside Google Cloud and cost guidance SADA's Heretto case describes a joint support call with Google Cloud. Google Cloud reproduced the Kubernetes environment and identified a YAML capitalization issue, and Heretto then launched its GKE instance in production. SADA also provided cloud cost guidance and set Heretto up as an enterprise customer. Customer case: Heretto (published May 2022). Application rearchitecture was continuing at the time of the case. | Potential fitYou need GKE troubleshooting and coordination with Google Cloud support. | Limits / handover questions This case does not establish a completed application modernization or a current managed-operations agreement. Confirm contracting entity, upgrade coverage and incident duties. Who owns cluster changes, application fixes, escalation to Google and ongoing support? Which runbooks and access controls transfer to our operators? |
We selected these firms from the directory because they publish specific platform services or customer cases. We have not tested their delivery quality. Payment has no role in selection or order. Paid placements are labeled separately in the full directory. Research methodology.
Browse the complete directory (35 firms)Google's current Partner Network separates Select, Premier, and Diamond tiers from Competency and Advanced Competency designations. Check a firm's current official record for the capability you need. The comparison above leaves each firm's current designation unknown.
Google says the new competency framework replaces Specializations. An older Specialization claim belongs to the earlier program and its source date. Do not treat a legacy badge as a current Competency or automatically map it to a new designation.
Credentials describe a firm's recognized practice; customer cases describe individual engagements. Ask which engineers delivered the case, who is available for your project, and who will operate the result. Official program sources checked .
Use these questions to qualify a proposed team against your workload:
Our evaluation methodology treats public credentials as a starting point for research, then checks them against documented services and engagement fit.
Price is only comparable after each firm is quoting the same boundary. Give every finalist the same inventory, data and access constraints, compliance needs, operating objectives, and desired decision date. Require assumptions and exclusions in plain language.
Profile topics are editorial navigation labels; they do not verify partner status. Organic listings remain independent and alphabetical. How listings work →
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
Ask for comparable Google Cloud projects and the engineers who would deliver your work.
Clarify: Confirm service scope, team availability and operating duties. Platform tags are navigation labels.
A broad Google Cloud practice claim needs workload-specific evidence. Match the proposed people, architecture, operating artefacts, and customer reference to the data, AI, platform, or operations work you are buying.
Ask who owns data modelling, pipeline reliability, data quality, access, retention, workload performance, and cost controls. Google documents separate on-demand and capacity-based BigQuery workload models; a data partner should explain when each is relevant and how it will monitor query behaviour and reservation use. Require acceptance criteria for data completeness, latency, reconciliation, and downstream reporting—not only infrastructure deployment.
Pythian's AllSaints case covers infrastructure and monitoring; SADA's 2022 Heretto case covers a joint support call with Google Cloud that resolved a GKE issue before launch. Neither establishes full lifecycle platform management. The proposal should assign cluster and application duties: upgrades, node pools, policy, observability, releases, dependencies, service objectives, and rollback. Have the team walk through a platform upgrade that exposes an application incompatibility and an incident where cluster health is normal but the business service is slow. Their response should name who detects and diagnoses the problem, authorizes changes, and communicates with your team.
Onix's telecom case reports a deployed customer-care application; its unnamed customer and historical usage window limit what a buyer can verify. Evite's future AI possibilities and general AI service descriptions need separate delivery proof. Require a comparable production reference and a proposal covering data access, evaluation criteria, deployment, observability, security, cost limits, human review, and ownership when model or pipeline behaviour changes. Identify which artefacts and code transfer to your team and which components remain dependent on the provider.
Google Cloud's shared-responsibility guidance remains relevant when a partner is added: the MSP can operate agreed controls, but the customer still needs clear accountability for data, access, regulation, and application behaviour. Require a responsibility matrix for projects, folders, billing accounts, identity, security, data, incidents, cost, and exit assistance.
Compare the final proposals against the same resource inventory and service objectives. Record assumptions, exclusions, subcontractors, support locations, third-party tooling, transition work, and separately charged changes. In a working session with the proposed delivery lead, review an architecture decision, a failure scenario, and the first operating report they would produce. Add unresolved responsibilities and missing evidence to the proposal clarification list.
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This is Cloud Consulting Intel's independent directory of providers. Google Cloud Consulting is Google's own service and works with partners. Use Google's official consulting page to explore that service; use this page to compare provider evidence and scope a partner engagement.
Start with the workload and operating model, then verify that the delivery team has comparable Google Cloud experience. Compare relevant competencies in the current Partner Network, customer cases, named roles, and the written responsibilities for the work you are buying.
Google Cloud Partner Network uses Select, Premier, and Diamond tiers and Competency or Advanced Competency designations. Google says the competency framework replaces Specializations. A historical Specialization is dated evidence under the earlier program; do not map it automatically to a current competency. Check the current official record and match its scope to the proposed team and project.
Ask for the target data architecture, governance and access model, workload-specific acceptance criteria, operating ownership, and a plan for handing over pipelines, models, or platform services. The proposal should identify both the people building the solution and those operating it.
Define the projects, folders, billing accounts, and services covered, along with monitoring, incident response, security ownership, change control, reporting, and exit documentation. A partner's operating service levels are different from Google Cloud product availability commitments.
Ask for a comparable architecture, the exact products and controls involved, and a clear division of responsibility across teams and clouds. Treat general multi-cloud claims as a starting point for evidence, not proof of fit.