AtomHub 2.0
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    ATOMHUB 2.0

    The Agentic Data Platform for governed, reliable data

    Unify ingestion, lakehouse zones, governance, lineage, and observability—then let autonomous agents keep pipelines healthy and costs controlled.

    Deploy in Cloud, VPC, or On-prem. 100 days to value.

    Request a demo

    Prefer your stack? Bring-Your-Stack delivery →

    AtomHub Job Analytics Dashboard - Real-time pipeline monitoring and data observability

    Proven at enterprise scale

    Battle-tested under peak traffic, strict governance, and production SLAs.

    PB-scale
    Processing
    100K+
    Jobs/day
    TB/hour
    Throughput
    30-60%
    Cost savings
    100 days
    Time to value
    99.9%+
    Uptime SLA

    What AtomHub delivers

    One platform for the entire data lifecycle—from ingestion to governed insights.

    Batch + Streaming + CDC

    Unified ingestion for all data sources

    Bronze/Silver/Gold Zones

    Standardized lakehouse data lifecycle

    Data Governance

    Quality, security, PII, and entitlements

    Catalog + Lineage

    Discovery and impact analysis

    Monitoring & Alerts

    Observability and recoverability

    Agentic Operations

    Watch, heal, and optimize autonomously

    Open standards-first. Works with your stack.

    Connect your data

    Bring batch, streaming, and CDC into one governed foundation—without rewriting your stack.

    • 1Batch ingestion for structured / semi-structured / unstructured sources
    • 2Streaming + CDC pipelines for real-time systems
    • 3Schema evolution + late arrivals handled safely
    • 4Config-driven onboarding with repeatable patterns

    Connectors • Sync policies • Schema evolution

    Build a lakehouse that stays correct over time

    Standardize your data lifecycle with zones, incremental tables, and recoverable pipelines.

    • 1Bronze/Silver/Gold zones for raw → refined → curated data
    • 2Incremental tables and backfills with lineage-aware impact
    • 3Data standards & contracts for consistent modeling
    • 4Recoverability: reruns, replays, and safe rollbacks

    Zones • Incrementals • Contracts • Recoverability

    Governance built into the operating model

    Inline/outline quality checks, security controls, and entitlements as first-class platform features.

    • 1Inline/outline data quality checks with policy enforcement
    • 2Data security: access control and auditability
    • 3PII anonymization / masking / pseudonymization-ready
    • 4Data entitlements: fine-grained access by role/domain

    Quality • Security • PII • Entitlements

    Platform services teams actually use

    Everything needed to run data operations without stitching 10 tools.

    • 1Data Catalog + Data Discovery
    • 2Orchestration + Data Processing
    • 3Monitoring & Alerts + Data Portal Dashboard
    • 4Code repos + CI/CD and standards

    Catalog • Orchestration • Discovery • CI/CD

    Observability for reliability and cost

    Measure freshness, failures, drift, and spend as one operational view.

    • 1Pipeline health: failures, latency, freshness SLAs
    • 2Data quality health: rule pass/fail trends and anomalies
    • 3Usage and entitlement visibility (who used what, when)
    • 4Cost & efficiency signals (guardrails, chargeback-ready)

    SLOs • DQ • Usage • Cost

    Agents that watch, heal, and optimize

    Not a chatbot—operational automation that prevents incidents and reduces manual toil.

    • Watch: detect SLA risks, drift, and cost spikes proactively
    • Heal: automated retries/backfills with safe-guards + approvals
    • Optimize: SLA-aware scheduling and right-sizing recommendations
    • Explain: quick RCA hints using lineage + runbooks

    Recent Agent Actions

    Detect SLA breach risk on order_eventsactive
    Auto-retry failed CDC job (attempt 2/3)pending
    Right-size spark cluster (cost -18%)complete
    RCA: Missing partition in bronze_txnsactive
    Schedule off-peak backfill for silver_userspending
    OPEN & COMPATIBLE

    Works with your stack

    Open standards-first so you can adopt incrementally.

    Adopt AtomHub as a control plane—no rip-and-replace required.

    Start with a proven pack

    Pick one high-impact workflow. Go live fast. Expand.

    MediaStreaming

    OTT Clickstream & QoE

    • Real-time viewer analytics
    • Quality of experience monitoring
    • Personalization signals
    View pack
    BFSIFintech

    Payments Reconciliation

    • Multi-source reconciliation
    • Audit-ready trails
    • Exception handling
    View pack
    PlatformMigration

    Lakehouse Migration

    • Zero-downtime cutover
    • Data validation
    • Rollback procedures
    View pack
    CompliancePlatform

    Governance & Lineage

    • Policy enforcement
    • Impact analysis
    • Audit preparation
    View pack
    SREObservability

    Real-time Monitoring

    • Incident reduction
    • SLO tracking
    • Alert fatigue elimination
    View pack
    AISearch

    Document Intelligence

    • Intelligent extraction
    • Semantic search
    • RAG-ready pipelines
    View pack
    PRICING

    Pricing that avoids platform tax

    Simple plans. Transparent metering. One bill—through your cloud.

    Freemium

    Start free with core capabilities

    • Data ingestion
    • Data catalog
    • Data zones (Bronze/Silver/Gold)
    • Data transformation
    • Job orchestration
    Contact Sales

    Essentials

    For teams launching first production workflows

    • AtomHub dashboard
    • Basic monitoring & notifications
    • Batch jobs
    • Metadata management
    • Data security
    • Processing engine
    Contact Sales
    POPULAR

    Advanced

    For scale, reliability, and governance

    • Real-time/streaming jobs
    • Monitoring & alerts
    • Recoverability
    • Open table formats
    • Entitlements & RBAC
    • Inline/outline data quality checks
    Contact Sales

    Pro

    For enterprise-grade security and self-serve

    • Incremental processing (CDC)
    • Anomaly detection
    • Self-serve capabilities
    • Multi-cloud
    • PII anonymization
    • Compliance-ready controls
    • Data mesh enablement
    Contact Sales
    Talk to Sales for rollout & deployment options

    Plans vary by deployment (Cloud, VPC, On-prem) and usage. Contact Sales for a tailored proposal.

    Implementation & Customer Success(Optional)

    Professional services accelerate onboarding and adoption. AtomHub remains the product.

    Launch Pack

    30–45 days

    First domain live

    Migration Pack

    60–90 days

    Cutover + reconciliation

    Reliability Pack

    30 days

    SLOs + incident reduction

    Managed Ops

    Ongoing

    Run with your team or ours

    Explore Services

    Frequently asked questions

    Everything you need to know about AtomHub deployment, integration, and operations.

    Do we need to replace our current stack?
    No. AtomHub integrates incrementally with your existing tools—Databricks, Snowflake, BigQuery, or any lakehouse. You adopt capabilities as needed without rip-and-replace.
    Can AtomHub run on-prem or air-gapped?
    Yes. AtomHub supports Cloud, VPC, and fully on-premises deployments. Air-gapped installations are available on Enterprise tier with dedicated support.
    How do you handle PII and entitlements?
    AtomHub provides built-in PII detection, masking, and pseudonymization. Fine-grained entitlements control access by role, domain, or attribute—with full audit trails.
    What does '100 days to value' mean?
    Our typical deployment reaches production value within 100 days—from initial setup through first domain live. This includes ingestion, governance, and operational readiness.
    How do agents take actions safely?
    Agents operate with configurable guardrails, approval workflows, and rollback capabilities. Critical actions require human approval; routine optimizations run automatically within safe bounds.
    What standards and integrations are supported?
    AtomHub is built on open standards: Apache Iceberg, Spark, Kafka, ClickHouse. We integrate with major cloud platforms (AWS, GCP, Azure), databases (Postgres, MongoDB), and orchestrators (Airflow, K8s).
    How does pricing/metering work?
    Pricing is usage-based on data volume processed and features enabled. No hidden platform tax—you pay for what you use with transparent metering and cost visibility.
    What's the recommended starting workflow?
    Start with one high-impact domain (e.g., clickstream, payments). Go live in weeks, then expand. Our Launch Pack provides structured onboarding for first-domain success.

    See AtomHub on your workloads

    Bring one dataset and one pain point—we'll show a path to production.

    Request a demo