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BigQuery Managed Services for Query Performance and Cost Control
Geopits manages BigQuery environments so your team can focus on insights, not query bills. We handle query optimisation, slot management, and cost control for teams running production analytics workloads on BigQuery.
BigQuery Environments, Tuned for Performance and Cost
BigQuery is Google’s fully managed data warehouse that enables organisations to run high-speed SQL analytics across massive datasets - without managing servers or infrastructure. Teams can analyse terabytes of data in seconds using a scalable, serverless platform. BigQuery is used to run fast SQL analytics over massive datasets without managing any servers or clusters, so teams can query terabytes of data in seconds. Most organisations get BigQuery running and queries returning results. Fewer keep query costs under control as data volumes and users grow, since a handful of unoptimised queries can quietly consume an outsized share of the bill.
Geopits manages the operational layer of BigQuery environments once they are live. That includes query optimisation, slot and Editions management, partitioning and clustering strategy, and ongoing cost monitoring. Our team works alongside yours so BigQuery stays fast and predictable to run, long after the initial setup is done.
What We Manage
Our BigQuery capabilities span the full operational lifecycle, from query performance to ongoing cost control. Continuous monitoring across every environment we manage runs on GeoOps, our in-house monitoring and incident management platform
Query Optimisation and Tuning
Slot and Editions Management
Partitioning and Clustering Strategy
Cost Monitoring and Budget Controls
BI Engine and Dashboard Acceleration
Data Governance and Access Control
Migration to BigQuery
Materialized View and Schema Design Support
24x7 Monitoring and Incident Response
BigQuery ML and Advanced Analytics Support
How We Work
A clear, 4-step path from assessment to ongoing optimisation, so your BigQuery environment stays fast, cost-efficient, and built to scale.
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
Lower query cost
Partitioning and clustering applied to cut bytes scanned per query.
Predictable compute spend
Slot reservation sized to actual concurrent query demand.
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Faster repeated queries
Materialized views applied where usage patterns justify them.
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Transparent progress tracking
Biweekly reports and monthly performance analysis reviewed directly with the client team.
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Predictable, competitive pricing
Pricing structured to stay competitive without cutting corners on support quality.
Certified expertise
Team has hands-on expertise in Google BigQuery and holds relevant certifications, including the Google Cloud Professional Data Engineer, to manage client environments with confidence.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
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EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
Know MoreFintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
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HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
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Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
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Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
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Frequently Asked Questions
What is BigQuery used for?
BigQuery is used to run fast SQL analytics over massive datasets without managing servers or infrastructure. Teams use it for business intelligence dashboards, ad-hoc analysis, and machine learning on large-scale data.
What does BigQuery managed services from Geopits include?
It covers query optimisation, slot and Editions management, partitioning strategy, and ongoing cost monitoring. Everything is monitored continuously through GeoOps.
How is BigQuery different from Snowflake?
BigQuery is a serverless platform tightly integrated with Google Cloud, with storage and compute billed separately by default. Snowflake also separates storage and compute but runs across multiple cloud providers rather than being Google-native.
Can Geopits help us migrate to BigQuery?
Yes. We handle migration planning, data movement, and validation, so workloads move to BigQuery with minimal disruption.
How does Geopits help control BigQuery costs?
We review query patterns, table design, and slot commitments to reduce unnecessary scan and compute costs. Clients typically see meaningful savings within the first quarter.
What are BigQuery Editions?
Editions are BigQuery's capacity-based pricing tiers, Standard, Enterprise, and Enterprise Plus, that replaced flat-rate slot pricing. We help you choose and manage the right edition and autoscaling range for your workload.
Do you optimise BigQuery query performance?
Yes. We tune SQL, apply partitioning and clustering, and use materialized views where they reduce both cost and query time.
What is your SLA for critical BigQuery issues?
P1 incidents get a response within 15 minutes, any time of day. Our team is reachable by email, Slack, phone, and ticketing.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
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