Articles

What Snowflake Is Snowflake is a cloud data warehouse built on a multi-cluster shared-data architecture. Storage and compute are separated: your data lives in cloud object storage (S3, GCS, or Azure Blob), and Virtual Warehouses — independently sized compute clusters — query it on demand. You can scale compute up or down, or suspend it entirely, without touching your data. It runs on AWS, Azure, and GCP but Snowflake manages every layer; you never touch infrastructure. ...

Snowflake keeps shipping transformation-adjacent features — Dynamic Tables, Snowpark, Tasks, Streams — and the obvious question follows: do you still need dbt? The short answer is yes, almost always. But the longer answer is worth understanding before you commit to an approach. What each tool actually is dbt (data build tool) is a transformation framework that runs SQL (and Python) models inside your warehouse. It adds version control, testing, documentation, and lineage on top of raw SQL. It does not move data — it only transforms data already in the warehouse. ...

Both tools move data from sources (SaaS APIs, databases, event streams) into your warehouse. The decision between them is not really about features — the connector lists overlap significantly — it is about your team’s priorities: managed simplicity vs cost control and flexibility. Quick Comparison Fivetran Airbyte Deployment SaaS only Self-hosted or Cloud Pricing model Usage-based (MAR / credits) Infra cost (self-hosted) or credits (Cloud) Free option No (free trial only) Yes (self-hosted) Connector count 500+ 300+ (incl. community) Custom connectors Paid add-on Built-in (Connector Builder) Setup time Minutes Hours–days (self-hosted) Ops overhead None Low (Cloud) to Medium (self-hosted) Schema drift handling Automatic Configurable Enterprise support Strong Improving Fivetran Fivetran is a fully managed ELT service. You authenticate a source, pick a destination, and Fivetran handles the rest: schema creation, incremental syncs, schema drift, retries, and historical backfill. There is no infrastructure to manage and no connector code to write or maintain. ...

Overview dbt has become the default tool for SQL-based data transformation. But it is not always the right fit. Some teams hit dbt’s limitations around orchestration, testing, or developer experience and start looking for alternatives. This article covers the strongest options — what each one does well, where it falls short, and which teams it suits. 1. Dataform Dataform is Google’s answer to dbt. It uses SQL and JavaScript (instead of dbt’s Jinja) and is deeply integrated with BigQuery. If your warehouse is BigQuery and you want something maintained by the same company, Dataform is worth a close look. ...