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Glossier

Glossier slashes data costs by 50% and unlocks real-time supply chain and marketing analytics with Estuary.

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Xometry slashed integration costs by 60% with Estuary’s secure, real-time private deployment

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Data Integration for Apache Iceberg

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    Batch for when real-time doesn't fit right-time

    Power reliable analytics and reporting workflows with predictable batch data movement that fits naturally into how your team already works.

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    Production use cases

    Connect once. Deliver anywhere.

    Estuary connects to your existing databases, SaaS tools, and data sources and delivers batch loads to every downstream destination through the same unified pipeline, on whatever schedule your team needs.

    Why it matters

    Silent failures, schema mismatches, and unclear ownership are symptoms of fragmented batch tooling. Estuary brings all your batch pipelines into one place, with automated schema handling and zero-downtime backfills.

    Before: Pipeline Chaos

    After: Centralized Execution

    Batch pipeline capabilities

    • Execution

      • Declarative scheduling
      • Incremental and full-load support
      • Extract once, deliver to multiple destinations

    • Data Integrity

      • Incremental or full backfills
      • Fully automated schema evolution
      • Historical reprocessing without re-extraction

    • Cost + Observability

      • Predictable costs
      • OpenMetrics API for detailed metrics
      • Fine-grained monitoring and alerts

    Technical highlights

    • High-Throughput Parallel Extraction Engine

      Bulk and incremental loads with adaptive parallelism, rate limiting, and per-connector throughput control.

    • Exactly-Once Batch Delivery

      Idempotent writes and deterministic checkpoints ensure safe re-runs without duplication.

    • Deterministic Backfills at Any Scale

      Reprocess historical data without re-extracting from source systems.

    Uri Vinetz — testimonial author avatarUri Vinetz — testimonial author avatar

    “We needed something self-serve, fast, and reliable, and Estuary delivered exactly that. It’s a huge unlock for our operations, reporting, and machine learning.”

    Uri Vinetz, Director of Data, Livble
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    One platform for all data movement

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    Frequently asked questions

      When should I use batch instead of real-time?

      Batch is ideal for scheduled workflows like nightly reporting, large-scale data migrations, and cost-optimized analytics pipelines where instant updates aren’t required.

      Can Estuary handle large-scale data backfills?

      Yes. Estuary supports deterministic backfills and replay, allowing you to reprocess historical data without re-extracting from source systems.

      How does Estuary ensure data consistency in batch jobs?

      Through exactly-once delivery and checkpointing, ensuring no duplication or data loss even during retries or failures.

      Can I mix batch and real-time pipelines?

      Yes. Estuary is built for “right-time data,” meaning you can run both batch and real-time pipelines in the same platform without duplication or reconfiguration.

      What makes Estuary better than traditional ETL tools?

      Estuary eliminates fragmented pipelines by unifying batch and real-time processing, reducing operational complexity and improving reliability.

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