Updateatomhub now has its own home at atomhub.ai→
    Data Intelligence Company

    Data engineering services for modern enterprises.

    We design, build, and operate high-performance data platforms—from real-time streaming to cloud analytics—so your business runs on trusted, fast, cost-efficient data.

    ISO/IEC 27001 certified · VAPT completed · SOC 1 underway · GDPR-aligned
    From production programs in media, fintech, healthcare & aviation
    50+
    programs delivered
    PB-scale
    data processing
    24×7
    managed support
    <100 days
    to production outcomes
    / What we do

    We design, build, and operate your data platforms.

    From real-time streaming to cloud analytics: nine practices, delivered by one team from architecture to managed operations.

    Real-Time Data Infrastructure

    Low-latency streaming pipelines for real-time analytics and operations.

    › Kafka, Flink, Spark Streaming› Event-driven architectures› Sub-second latency SLAs
    → Explore

    Big Data Processing & Lakehouse Engineering

    Scalable data lakes and lakehouses for petabyte-scale workloads.

    › Delta Lake, Iceberg, Hudi› Medallion architecture› Cost-optimized storage
    → Explore

    Data Warehousing & Analytics Modernization

    Modern cloud warehouses with optimized query performance.

    › Snowflake, BigQuery, Redshift› dbt transformations› Query optimization
    → Explore

    Cloud DataOps (CI/CD + IaC)

    Automated infrastructure and deployment pipelines for data systems.

    › Terraform, Pulumi› GitOps workflows› Multi-cloud deployments
    → Explore

    Data Quality, Governance & Security

    Enterprise-grade data governance with automated quality checks.

    › Data contracts & validation› Access policies & encryption› Compliance automation
    → Explore

    Modernization & Migration

    Safe, zero-downtime migrations from legacy systems to modern stacks.

    › Legacy to cloud migration› Platform consolidation› Risk-free cutover
    → Explore

    Observability, DevOps & SRE for Data

    Full-stack monitoring and reliability engineering for data platforms.

    › Pipeline health monitoring› Incident response automation› SLO-driven operations
    → Explore

    Enterprise Integrations (ERP/CRM → Analytics)

    Connect enterprise systems to your analytics and AI platforms.

    › SAP, Salesforce, Oracle› Real-time sync patterns› API orchestration
    → Explore

    Professional Services + Support

    Expert consulting, implementation, and ongoing managed support.

    › Architecture reviews› Implementation sprints› 24×7 managed ops
    → Explore
    / The stack

    Expertise in the technologies that matter.

    Real-time & Streaming

    › Apache Kafka & Confluent› Apache Flink & Spark Streaming› Amazon Kinesis & MSK› Event-driven microservices

    Lakehouse & Analytics

    › Delta Lake, Iceberg, Hudi› Databricks & Spark› dbt & Airflow› Snowflake, BigQuery, Redshift

    Cloud + DataOps + Reliability

    › AWS, Azure, GCP multi-cloud› Terraform, Pulumi, GitOps› Kubernetes & containerization› Prometheus, Grafana, Datadog
    / Outcomes

    Performance you can measure.

    Up to 6×

    faster processing

    99.9%+

    reliability

    30–60%

    lower cost

    Minutes → seconds

    latency

    / Case studies

    Proven results across industries.

    / Industries

    Trusted across industries.

    Fintech

    › Real-time transaction processing› Regulatory compliance automation› Fraud detection pipelines

    Healthcare

    › HIPAA-compliant data platforms› Patient data unification› Clinical analytics

    Retail

    › Omnichannel analytics› Inventory optimization› Customer 360 views

    SaaS

    › Product analytics pipelines› Usage metering systems› Multi-tenant data isolation
    / How we deliver

    From discovery to production in 8–15 weeks.

    1–2 weeks

    Discovery & Assessment

    Diagnose sources, SLAs, bottlenecks, and risks

    1–2 weeks

    Architecture & Roadmap

    Design target state and prioritize workloads

    2–3 weeks

    Rapid Prototype

    Build working proof of value with real data

    4–8 weeks

    Production Implementation

    Deliver production-grade, tested systems

    Ongoing

    Optimization & Support

    Continuous improvement and managed operations

    Free stack review · No commitment

    Ready to fix your data problems permanently?

    › Free stack review
    › Modernization roadmap
    › Cost reduction opportunities
    › Performance benchmarks
    › Execution plan
    › No commitment required
    atombuild ⏎ — one call from a production-grade data platform
    / FAQ

    What does atombuild do, in plain terms?

    atombuild is a data engineering services company. We design, build, and operate high-performance data platforms—from real-time streaming to cloud analytics—so your business runs on trusted, fast, cost-efficient data.

    Do we need to replace our current stack?

    No. We work with your existing cloud and data tools and modernize incrementally, with no forced rip-and-replace.

    What happens in the first 30 days?

    We run a Data Teardown: we diagnose sources, SLAs, bottlenecks, and risks. Then we prioritize your most painful workflow for quick wins, typically reaching production outcomes in 100 days.

    Which clouds and platforms do you work with?

    AWS, Azure and GCP, including multi-cloud; Databricks, Snowflake, BigQuery and Redshift; Kafka, Flink and Spark; ClickHouse, PostgreSQL and MongoDB.

    How does an engagement start?

    With a free consultation: a stack review, a modernization roadmap, cost reduction opportunities, performance benchmarks and an execution plan. No commitment required.

    Where is atomhub now?

    atomhub is now developed and operated by AtomHub Technologies Pte. Ltd., Singapore. Visit atomhub.ai for the product, documentation, pricing and demos. atombuild remains fully committed to data services.