Data And Infrastructure Engineering

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 company’s data projects.
GeekyAnts removes these data bottlenecks and storage wastes. We audit your current systems, find the performance blockers, and build a roadmap.
CUSTOMER STORIES
Impact We Make
HOW WE HELP
Our Core Capabilities
Database Reliability Engineering
- Replication Setup
- PITR Backup
- Query Optimization
Data Pipelines (ETL/ELT)
- CDC
- Batch Processing
- Stream Processing
Infrastructure as Data
- StatefulSets
- Persistent Volumes
- Disaster Recovery
WHAT WE DO
Data Engineering Services for Enterprises
PostgreSQL Infrastructure
MariaDB Performance
Redis Cluster Management
WHY US
Advantages of Partnering with GeekyAnts
PB-Scale Data Management
Sub-second Analytics Queries
Zero Data Loss Incidents
WHAT WE DO
Backend Engineering Services for Enterprises
FEATURED CONTENT
Our Latest Thinking in Data And Infrastructure Engineering

How Artificial Intelligence is Transforming Dynamic Pricing in F&B and Hospitality

Mitigating Customer Trust Erosion in AI-driven Dynamic Pricing Systems

Data-Driven Design Crafting Market-Fit Products

Data Streaming and Data Processing with Azure

Unveiling OpenTelemetry: Your Key to Streamlined Observability

Reading Data Using USB in Flutter
Is your data team fighting high latency instead of shipping insights?
Book a discovery consulting call with our Data Architects today.
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