2026 Specialist Directory

Google Cloud Data & Analytics Partners

16 firms with public GCP data and analytics profiles — evaluated on partner tier, certifications, real pricing, and case study depth.

What is Google Cloud data analytics consulting?

Google Cloud data analytics consulting helps organizations build modern data platforms on GCP. This includes BigQuery data warehousing, Dataflow stream processing, Looker business intelligence, and Vertex AI machine learning — from data migration through to production ML models.

GCP's data stack is widely regarded as the most developer-friendly and cost-efficient among the three major clouds. Leading partners hold the Google Cloud Data Analytics Specialization, validating deep expertise in BigQuery, Dataflow, Pub/Sub, and Looker implementations.

Typical pricing benchmarks

  • Data warehouse migration (BigQuery): $150K-$600K
  • Full analytics platform: $300K-$1M+
  • Looker implementation: $75K-$250K
  • ML/AI model development (Vertex AI): $100K-$500K

16 GCP Data & Analytics Partners

66degrees

Editorial profile topics: GCP · Navigation only; not verified partner status.

66degrees is best for enterprises in financial services, healthcare, retail, or supply chain that want Google Cloud AI, data-platform, or modernization work. 66degrees states it is a Diamond Google Cloud partner, and…

Poor fit: 66degrees is the wrong fit for a buyer whose main platform is AWS or Azure, because it describes its work as engineering "across the full Google Cloud stack" and says its go-to-market strategy is fully aligned with the…

Public pricing
Not publicly verified
Team size
Not publicly verified

Accenture Cloud

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Accenture Cloud is best for large enterprises and public-sector bodies running multi-year cloud programs across AWS, Azure, and Google Cloud. AWS lists Accenture as a Premier Tier Services Partner (AWS blog, 26 May…

Poor fit: Accenture Cloud is the wrong fit for a small company with one narrow cloud project, because Accenture describes itself as helping the world's leading enterprises and serves public sector, defense and national security…

Public pricing
Not publicly verified
Team size
Not publicly verified

Cognizant Cloud Services

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Consider Cognizant when Azure operations must run alongside a wider hybrid or multicloud modernization program.

Clarify: Who owns the operating model for Azure versus other clouds, and which teams may investigate, remediate, approve production changes, and communicate during an incident.

Public pricing
Not publicly verified
Team size
Not publicly verified

DoiT International

Editorial profile topics: GCP · AWS · Navigation only; not verified partner status.

DoiT International is best for fast-growing companies that want FinOps and cloud-cost work on Google Cloud and AWS, delivered through its Cloud Intelligence platform with forward-deployed engineers. Its about page…

Poor fit: DoiT International is the wrong fit for a buyer that wants a fixed-scope migration or application build from a project consultancy, because its published offer centers on its FinOps platform and embedded engineers, and…

Public pricing
Not publicly verified
Team size
Not publicly verified

EPAM Systems

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

EPAM Systems is best for a large enterprise that needs software-engineering depth across cloud modernization and production AI on AWS, Azure, or GCP; its Louis Dreyfus engagement moved 1,500+ virtual machines into three…

Poor fit: EPAM Systems is the wrong fit for a lean, price-led single-cloud project that would be better served by a focused boutique, or for a buyer unwilling to contractually pin down delivery geography and seniority, because…

Public pricing
Not publicly verified
Team size
Not publicly verified

HCLTech

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

HCLTech is best for a large enterprise that wants one long-term integrator for a complex AWS, Azure, and GCP transformation, SAP migration, or managed-cloud program, backed by a listed pool of 40,000+ certified cloud…

Poor fit: HCLTech is the wrong fit for an SMB, a boutique cloud-native build, or a highly specialized single-platform workload where named expert access matters more than global scale, because its cloud copy is aimed at…

Public pricing
Not publicly verified
Team size
Not publicly verified

Perficient

Editorial profile topics: Azure · AWS · GCP · Navigation only; not verified partner status.

Perficient is best for enterprise buyers that need Azure applications, data, Dynamics 365, or Power Platform work in healthcare, financial services, or manufacturing. Perficient states it is an AWS Premier Tier and…

Poor fit: Perficient is the wrong fit for a buyer that wants one team dedicated to a single cloud, because its cloud work spans Azure, AWS, and Google Cloud alongside Microsoft business applications. Ask for named, certified…

Public pricing
Not publicly verified
Team size
Not publicly verified

phData

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

phData is best for enterprises that need a Snowflake or AWS data platform built, migrated, or run, including managed data-platform operations. phData states it is a Snowflake Elite Services Partner and an AWS Premier…

Poor fit: phData is the wrong fit for a buyer seeking general infrastructure, networking, or application hosting from one provider, because its published service lines are data engineering, AI/ML, migrations, analytics, and…

Public pricing
Not publicly verified
Team size
Not publicly verified

Pythian

Editorial profile topics: GCP · AWS · Azure · Navigation only; not verified partner status.

Pythian is best for complex database migrations, data-platform architecture, and ongoing database operations, including the 24/7 database administration and managed operations it advertises.

Poor fit: Pythian is the wrong fit for a broad, non-data-centric cloud transformation, because its published services center on databases, data, analytics, and AI. Advertised 24/7 coverage is not a contract term; confirm support…

Public pricing
Not publicly verified
Team size
Not publicly verified

Quantiphi

Editorial profile topics: GCP · AWS · Azure · Navigation only; not verified partner status.

Quantiphi is best for healthcare, financial-services, public-sector, or media buyers building AI on Google Cloud or AWS. Quantiphi states it is a Diamond Google Cloud partner and an AWS Premier Tier Services Partner.

Poor fit: Quantiphi is the wrong fit for an Azure-led program, because the partner awards and competencies on its site relate to Google Cloud and AWS. Ask for Azure references, and confirm where the delivery team would be based;…

Public pricing
Not publicly verified
Team size
Not publicly verified

SADA

Editorial profile topics: GCP · Navigation only; not verified partner status.

SADA, now part of Insight, is best for teams making Google Cloud the center of a data, analytics, machine-learning, or application-modernization program. Insight's 2023 acquisition fact sheet listed about 850 SADA…

Poor fit: SADA is the wrong fit for a program centered on AWS or Azure, because its published expertise is Google Cloud; evaluate Insight's wider multicloud practice separately. Its team figures date from 2023, so confirm the…

Public pricing
Not publicly verified
Team size
Not publicly verified

Searce

Editorial profile topics: GCP · AWS · Navigation only; not verified partner status.

Searce is best for Google Cloud data, AI, modernization, or Workspace projects. Searce says it is a Google Cloud Diamond Partner across Services and Co-sell, and its partners page describes it as a Google Cloud Premier…

Poor fit: Searce is the wrong fit for a buyer that needs a Microsoft Azure-led partner, because Searce's partners page lists Google Cloud, AWS, and Databricks but not Microsoft. Searce's homepage calls it an AWS Global Premier…

Public pricing
Not publicly verified
Team size
Not publicly verified

Slalom

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Slalom is best for enterprise buyers moving to AWS, Azure, or Google Cloud who also need change management and adoption work from a local-market team. Slalom states it has 54 offices in 12 countries and is an AWS…

Poor fit: Slalom is the wrong fit for a buyer whose main need is a large, long-term managed-services contract, because it announced its Agentic Managed Services offering only on September 30, 2026 and its pages describe…

Public pricing
Not publicly verified
Team size
Not publicly verified

Thoughtworks

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Thoughtworks is best for enterprises modernizing mainframe, monolith, or data estates on AWS, Azure, or Google Cloud in increments. Thoughtworks describes itself as an AWS Premier Partner with 600+ AWS-certified staff…

Poor fit: Thoughtworks is the wrong fit for a buyer that wants a plain rehost with no application change, because its published offers center on incremental modernization rather than one-time migrations. If you also need managed…

Public pricing
Not publicly verified
Team size
Not publicly verified

Wipro Cloud

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Wipro Cloud is best for large enterprises that want migration, infrastructure, and managed cloud services across AWS, Azure, and Google Cloud. Wipro describes itself as an AWS Premier Consulting Partner and an Azure…

Poor fit: Wipro Cloud is the wrong fit for a buyer that wants a small, single-office team, because Wipro employs 240,000+ people in 65 countries (per Wipro, May 2026). Ask who the named delivery team is and where it sits.

Public pricing
Not publicly verified
Team size
Not publicly verified

Xebia

Editorial profile topics: AWS · Azure · GCP · Navigation only; not verified partner status.

Consider Xebia when you need to scope a project implementation and a post-launch operating model in one procurement thread.

Clarify: Separate the build-and-handover work from the managed-service option: ask for implementation milestones, acceptance and rollback evidence, knowledge-transfer deliverables, and a named post-launch responsibility matrix.

Public pricing
Not publicly verified
Team size
Not publicly verified

Data & Analytics on other platforms

Frequently asked questions

Which Google Cloud partner is best for BigQuery? +
SADA leads in BigQuery implementations and Looker deployments, followed by 66degrees for end-to-end data platforms. DoiT excels at cost-optimized analytics architectures. Choice depends on scale — SADA for enterprise, 66degrees for mid-market, DoiT for cost-sensitive projects.
How much does Google Cloud data analytics consulting cost? +
Typical costs: Data warehouse migration to BigQuery $150K-$600K, full analytics platform build $300K-$1M+, Looker implementation $75K-$250K, ML/AI model development $100K-$500K. Hourly rates range from $150-$350 for GCP data specialists.
Should I choose BigQuery or a traditional data warehouse? +
BigQuery excels at: serverless operations (no infrastructure management), separation of storage and compute (cost efficiency), native ML integration (BigQuery ML), and petabyte-scale analytics. Consider alternatives if you need: sub-second latency for OLTP, strong Postgres/MySQL compatibility, or multi-cloud portability.
What Google Cloud certifications matter for data analytics? +
Key certifications: Google Cloud Data Analytics Specialization (validates BigQuery, Dataflow, Pub/Sub expertise), Machine Learning Specialization (Vertex AI, TensorFlow), and Google Cloud Partner Advantage — Services Specialization in Data Analytics. Partners with these have proven, audited expertise.