--- title: Moving off Airbyte | daily.dev description: A case for migrating from Airbyte to dltHub, covering the pain points of Airbyte (high cost, connector maintenance burden, devops overhead) and what dlt offers... canonical: https://daily.dev/posts/moving-off-airbyte-ty2k0oy70 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Moving off Airbyte | daily.dev og:description: A case for migrating from Airbyte to dltHub, covering the pain points of Airbyte (high cost, connector maintenance burden, devops overhead) and what dlt offers... og:url: https://daily.dev/posts/moving-off-airbyte-ty2k0oy70 og:image: https://api.daily.dev/og/posts/TY2k0Oy70.png og:image:alt: Moving off Airbyte og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Moving off Airbyte **[dltHub](https://daily.dev/sources/dlthub)** · 5 min read · 0 upvotes · 0 comments ## Summary A case for migrating from Airbyte to dltHub, covering the pain points of Airbyte (high cost, connector maintenance burden, devops overhead) and what dlt offers instead. Key claims include 99.83% pipeline success rate across 50M production runs, compute-based pricing that can cut costs by 99%+ on bulk data vs. Airbyte's row/GB metering, and an agentic maintenance model that resolves connector issues in under 10 minutes. The post includes a cost comparison table, TCO estimates (~$100/connector/year), and migration timelines (roughly 1 connector per day for senior engineers, or 30 pipelines in two weeks with vendor assistance). ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much does moving data with dltHub cost compared to Airbyte's metered pricing? One dollar of dltHub compute moves roughly 170 GB (1.1 billion rows) of Parquet data, versus an estimated $1,700+ on Airbyte at its public pricing of $10/GB. For Postgres, $1 moves about 65 GB (350 million rows) versus roughly $650 on Airbyte. Rate-limited REST APIs show a smaller gap, around 3x, at roughly $3.40 on Airbyte versus $1 on dltHub. _Weigh ingestion costs like this before committing to a data pipeline platform, and track the comparison on daily.dev._ ### What is the typical maintenance cost of running a dlt pipeline in production long term? dlt pipelines show a 99.83% success rate measured across 50 million open-source production runs, translating to roughly one maintenance event every 2.2 years per pipeline. With agentic maintenance handling log analysis and fixes, the ongoing total cost of ownership averages around $100 in human labor plus $2-5 in LLM tokens per connector per year. _Data teams sizing pipeline maintenance overhead can follow cost benchmarks like this on daily.dev._ ### How long does it take to migrate pipelines from Airbyte to another tool like dlt? Senior engineers migrating in-house report moving at roughly one connector per day. Alternatively, a vendor-assisted migration can move around 30 pipelines within a two-week timeline when capacity allows. One case cited a CTO without a data engineering background migrating an entire Airbyte stack in five days. _Anyone planning a pipeline migration can benchmark realistic timelines through resources on daily.dev._ ## Similar posts on daily.dev - [Build vs buy is over. A connector now costs $100 a year.](https://daily.dev/posts/build-vs-buy-is-over-a-connector-now-costs-100-a-year--a0abfhxf3) · dltHub · 0 upvotes · 0 comments - [Consulting is becoming software.](https://daily.dev/posts/consulting-is-becoming-software--v5zxf18aj) · dltHub · 0 upvotes · 0 comments - [Step by step: Hubspot connector from Fivetran to dlthub](https://daily.dev/posts/step-by-step-hubspot-connector-from-fivetran-to-dlthub-pq45cmztl) · dltHub · 0 upvotes · 0 comments - [New BigQuery Data Transfer Service Capabilities](https://daily.dev/posts/new-bigquery-data-transfer-service-capabilities-r6fszvjbc) · Google Cloud · 0 upvotes · 0 comments - [Feed your data lake with AI-ready tables for 30-50% lower cost](https://daily.dev/posts/feed-your-data-lake-with-ai-ready-tables-for-30-50-lower-cost-mpdjf1hfv) · Confluent Blog · 0 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#backend](https://daily.dev/tags/backend), [#data-engineering](https://daily.dev/tags/data-engineering) [View this post on daily.dev](https://daily.dev/posts/moving-off-airbyte-ty2k0oy70) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Moving off Airbyte","url":"https://daily.dev/posts/moving-off-airbyte-ty2k0oy70","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/moving-off-airbyte-ty2k0oy70"},"datePublished":"2026-07-21T07:59:39.449Z","dateModified":"2026-09-13T21:31:12.338Z","description":"A case for migrating from Airbyte to dltHub, covering the pain points of Airbyte (high cost, connector maintenance burden, devops overhead) and what dlt offers...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/865a4e2bf9733f770dcbc67e1931e49a?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/865a4e2bf9733f770dcbc67e1931e49a?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"dltHub","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"dltHub","logo":"https://media.daily.dev/image/upload/s--lanGOBQH--/f_auto/v1734606584/logos/dlthub","url":"https://daily.dev/sources/dlthub"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/moving-off-airbyte-ty2k0oy70","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,backend,data-engineering","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"dltHub","item":"https://daily.dev/sources/dlthub"},{"@type":"ListItem","position":3,"name":"Moving off Airbyte"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/moving-off-airbyte-ty2k0oy70#faq","mainEntity":[{"@type":"Question","name":"How much does moving data with dltHub cost compared to Airbyte's metered pricing?","acceptedAnswer":{"@type":"Answer","text":"One dollar of dltHub compute moves roughly 170 GB (1.1 billion rows) of Parquet data, versus an estimated $1,700+ on Airbyte at its public pricing of $10/GB. For Postgres, $1 moves about 65 GB (350 million rows) versus roughly $650 on Airbyte. Rate-limited REST APIs show a smaller gap, around 3x, at roughly $3.40 on Airbyte versus $1 on dltHub. Weigh ingestion costs like this before committing to a data pipeline platform, and track the comparison on daily.dev."}},{"@type":"Question","name":"What is the typical maintenance cost of running a dlt pipeline in production long term?","acceptedAnswer":{"@type":"Answer","text":"dlt pipelines show a 99.83% success rate measured across 50 million open-source production runs, translating to roughly one maintenance event every 2.2 years per pipeline. With agentic maintenance handling log analysis and fixes, the ongoing total cost of ownership averages around $100 in human labor plus $2-5 in LLM tokens per connector per year. Data teams sizing pipeline maintenance overhead can follow cost benchmarks like this on daily.dev."}},{"@type":"Question","name":"How long does it take to migrate pipelines from Airbyte to another tool like dlt?","acceptedAnswer":{"@type":"Answer","text":"Senior engineers migrating in-house report moving at roughly one connector per day. Alternatively, a vendor-assisted migration can move around 30 pipelines within a two-week timeline when capacity allows. One case cited a CTO without a data engineering background migrating an entire Airbyte stack in five days. Anyone planning a pipeline migration can benchmark realistic timelines through resources on daily.dev."}}]} ```