Data and Infrastructure Engineering

We build digital solutions for pipelines, warehouses, and databases that support decision-making. From database tuning to constructing pipelines, we create production systems with observability, governance, and cost transparency.
Messy data pipelines and under-optimized databases lead to slow queries and high storage costs. Running an open-source data warehouse with 30TB of data costs nearly $1 million every year. Without a standard framework for your data, decision-making slows down and teams lose trust in the companyโ€™s data projects.

GeekyAnts removes these data bottlenecks and storage wastes. We audit your current systems, find the performance blockers, and build a roadmap.

Impact We Make

400M+ global payments processed annually

400M+ global payments processed annually

The system provides the scalability required to handle millions of transactions while maintaining data integrity and administrative control.ย 

120k+

Active Users in the UK, Canada, Europe, and Australia

400M+

Global Payments Processed Annually

350k+

Downloads Across iOS and Android

3x faster AI feature iteration

3x faster AI feature iteration

The modular backend architecture allowed the team to deploy new AI capabilities and personalized features significantly faster than industry benchmarks.ย ย 

40%

Reduction in meal decision time

2x

Increase in daily active usage during pilot

3x

Faster iteration on new AI-driven features

$57,000+ Annual Savings

$57,000+ Annual Savings

The project achieved a 60% reduction in monthly cloud costs (from $8,100 to $3,300) without any loss in transaction speed or system security.

60%

Reduction in monthly cloud costs

$4800

Saved per month

$57,000+

Annual savings

50% reduction in manual validation cycles

50% reduction in manual validation cycles

The integration of automated benchmarking frameworks and AI-driven process automation also resulted in 30% faster internal testing workflows.

30%

faster internal testing

50%

reduction in manual validation

Our Core Capabilities

Database Reliability Engineeringย 

We deep-tune PostgreSQL, MariaDB, and Redis to ensure performance and data safety.ย 
  • Replication Setup
  • PITR Backup
  • Query Optimization

Data Pipelines (ETL/ELT)

We build robust pipelines to move, transform, and load data for analytics and machine learning.ย 
  • CDC
  • Batch Processing
  • Stream Processing

Infrastructure as Dataย 

Managing stateful workloads using advanced orchestration patterns.ย 
  • StatefulSets
  • Persistent Volumes
  • Disaster Recovery

Data Engineering Services for Enterprises

PostgreSQL Infrastructure

Advanced tuning and scalable PostgreSQL architecture.

MariaDB Performance

High-availability MariaDB solutions and performance optimization.

Redis Cluster Management

Distributed caching and high-speed data structures

Advantages of Partnering with GeekyAnts

We engineer systems capable of managing Petabyte-scale data without performance degradation
Through the implementation of Materialized Views and specialized engines, we reduce dashboard load times from 30 seconds to under 500ms.
We prioritize Database Reliability Engineering to ensure total data safety.ย 

Backend Engineering Services for Enterprises

Product Backend Studio

We build the "0-to-1" engine for new, high-growth applications.
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Enterprise Backend

We specialize in transforming monolithic legacy systems into modern microservices.
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Cloud & Platform Engineering

We treat infrastructure as code to balance performance with cost.
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Data & Infrastructure Engineering

We build the high-speed pipelines that turn raw data into business intelligence.
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Our Latest Thinking

Insight
Software Development Costs at GeekyAnts: Pricing, Engagement Models, and Key Factors
Sep 18, 2026

Software Development Costs at GeekyAnts: Pricing, Engagement Models, and Key Factors

Get insights into software development costs, engagement models, pricing factors, AI and infrastructure expenses, and project estimation.

Insight
AI and the Future of Digital Customer Experience: Where Technology Meets Human Creativity
Sep 18, 2026

AI and the Future of Digital Customer Experience: Where Technology Meets Human Creativity

A discussion on how AI, human creativity, research, and cross-functional collaboration are shaping the future of digital customer experience.

Insight
GeekyAnts Publishes 2026 Client Review Analysis Highlighting Delivery Strengths and Areas for Improvement
Sep 18, 2026

GeekyAnts Publishes 2026 Client Review Analysis Highlighting Delivery Strengths and Areas for Improvement

GeekyAntsโ€™ analysis of 120 verified Clutch reviews highlights the delivery strengths clients value most and the areas where they expect tighter execution.

Insight
The Reality of Healthcare Transformation in the AI Era - Rakshith Gowda
Sep 17, 2026

The Reality of Healthcare Transformation in the AI Era - Rakshith Gowda

Not every problem deserves an AI solution. Inside AI consulting for healthcare: data quality, clinician trust, and knowing where AI should not go.

Insight
Scaling Down Before Scaling Up: Why Bigger Servers Donโ€™t Fix Bad Architecture
Sep 17, 2026

Scaling Down Before Scaling Up: Why Bigger Servers Donโ€™t Fix Bad Architecture

This blog explores how inefficient backend architecture can cause performance issues even under low traffic, covering practical ways to reduce database load, API latency, and resource usage before scaling infrastructure.

Insight
GeekyAnts Joins the Claude Partner Network to Advance Secure, Production-Ready AI Product Development
Sep 17, 2026

GeekyAnts Joins the Claude Partner Network to Advance Secure, Production-Ready AI Product Development

GeekyAnts joins the Claude Partner Network as a registered Services Track member, strengthening its work in secure, production-ready AI product engineering.

Is your data team fighting high latency instead of shipping insights?ย 

Book a discovery consulting call with our Data Architects today.

Contact us

Our Backend Stack

Working with clients across 20+ industries has verified one thingโ€”cookie-cutter approaches do not work when it comes to backend. The backend needs to be tailored for the business and the goal. That is why we do not force one stack on you. We choose the right tool based on performance needs, ecosystem fit, and your teamโ€™s expertise.

The Right Conversation Can

Save You Six Months.

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