# Data-to-Production: Bridging the Gap Between Iceberg and Live Microservices

DevFeed: [Data-to-Production: Bridging the Gap Between Iceberg and Live Microservices](<https://devfeed.tech/articles/data-to-production-bridging-the-gap-between-iceberg-and-live-microservices-22631.md>)

Original publisher: [Read original article](<https://www.wix.engineering/post/data-to-production-bridging-the-gap-between-iceberg-and-live-microservices>)

Author: Wix Engineering

Published: 2026-02-17T11:04:08Z

Content type: article

Language: en

Sources: [Wix Engineering](<https://devfeed.tech/sources/wix-engineering.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [Microservice](<https://devfeed.tech/topics/microservice.md>), [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>), [airflow](<https://devfeed.tech/topics/airflow.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [airflow](<https://devfeed.tech/tags/airflow.md>), [amazon-s3](<https://devfeed.tech/tags/amazon-s3.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [api](<https://devfeed.tech/tags/api.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data](<https://devfeed.tech/tags/data.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [json](<https://devfeed.tech/tags/json.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [spark](<https://devfeed.tech/tags/spark.md>)

## AI overview

Wix describes Data-to-Production, a platform that activates data from Amazon S3 and Apache Iceberg for backend microservices. The system ingests Iceberg data into ClickHouse and serves it through a type-safe JSON API, using metadata governance and an Airflow and Python ingestion engine.

## Source excerpt

At Wix, our Data Warehouse (DWH) is a massive repository of insights. Built on Amazon S3 using Apache Iceberg table formats, and populated by Trino and Spark jobs, it houses petabytes of data--from user segmentation and logs to AI chat analytics. However, storage is only half the battle. The real challenge--and the "holy grail" for many data engineering teams--is Activation : taking that petabyte-scale data and exposing it to backend microservices with millisecond latency, high availability, and...