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Apache Spark Managed Services for Performance and Cluster Reliability
Streamline Apache Spark operations with managed services that optimize cluster performance, reduce complexity, and support scalable analytics workloads.
Apache Spark Clusters, Tuned and Reliably Run
Apache Spark is used to process large datasets across distributed clusters, so teams can run batch, streaming, and machine learning workloads at speeds a single machine cannot match. Most organisations get Spark clusters deployed and jobs running. Fewer keep shuffle costs low, data skew under control, and cluster resources right-sized as job volume and complexity grow.
Geopits manages the operational layer of Spark environments, whether deployed on EMR, Dataproc, HDInsight, Kubernetes, or standalone clusters. That includes performance tuning, cluster sizing, job monitoring, and cost optimisation. Our team works alongside yours so Spark stays fast and predictable to run, long after the initial deployment is done.
Capabilities
Our Apache Spark capabilities span the full operational lifecycle, from performance tuning to ongoing cost control. Continuous monitoring across every environment we manage runs on GeoOps, our in-house monitoring and incident management platform
Performance Tuning and Shuffle Optimisation
Cluster Sizing and Resource Management
Data Skew Diagnosis and Resolution
Spark on Kubernetes Operations
Job Monitoring and Failure Recovery
Structured Streaming Support
Cost Optimisation Across Cloud Platforms
Migration to or Between Spark Platforms
24x7 Monitoring and Incident Response
Spark MLlib and Data Science Support
How We Work
A clear, 4-step path from assessment to ongoing optimisation, so your Spark environment stays performant, 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.
Fewer job failures
Executor sizing matched to actual memory and core needs.
Faster processing
Partition tuning applied to prevent skew and shuffle overhead.
Lower resource contention
Job scheduling structured to avoid conflicts across concurrent runs.
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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 Apache Spark and holds relevant certifications, including the Databricks Certified Associate Developer for Apache Spark, 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.
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Fintech
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 Apache Spark used for?
Apache Spark is used to process large datasets across distributed clusters for batch processing, streaming, and machine learning. Teams use it when a single machine cannot handle the volume or speed the workload requires.
What does Apache Spark managed services from Geopits include?
It covers performance tuning, cluster sizing, job monitoring, and cost optimisation across EMR, Dataproc, HDInsight, Kubernetes, or standalone deployments. Everything is monitored continuously through GeoOps.
How is Apache Spark different from Databricks?
Apache Spark is the open-source processing engine itself, while Databricks is a managed commercial platform built on top of it with added tooling like notebooks and Unity Catalog. Self-managed Spark gives you more control and cost predictability, while Databricks trades some of that control for convenience.
Can Geopits help us migrate our Spark workloads?
Yes. We handle migration planning, cluster reconfiguration, and validation, so workloads move between platforms or to a new deployment with minimal disruption.
How does Geopits help control Spark cluster costs?
We review cluster sizing, job scheduling, and shuffle behaviour to reduce unnecessary compute spend. Clients typically see meaningful savings within the first quarter.
Do you support Spark on Kubernetes?
Yes. We manage Spark Operator configuration, dynamic resource allocation, and namespace isolation for containerised Spark deployments.
Can you fix slow or failing Spark jobs?
Yes. We diagnose issues like data skew, inefficient shuffles, and memory pressure, and tune jobs for faster, more reliable execution.
What is your SLA for critical Spark 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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