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GCP
6 May 2026 8 min

Dataform vs dbt on GCP: A Comparison

Dataform and dbt solve the same problem: turning raw warehouse tables into tested, documented ones with SQL under version control. This comparison writes the same two models and tests in each, builds the dbt version on DuckDB, compiles the Dataform version locally, then sets out the differences that matter.

GloryTecks Team
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MLOps
6 May 2026 6 min

Vertex AI and SageMaker for MLOps: A Comparison

Both clouds rebuilt and renamed their ML platforms: SageMaker is now SageMaker AI inside a wider SageMaker, and Vertex AI's documentation now lives under Gemini Enterprise Agent Platform. This comparison maps the MLOps building blocks on each, notes what changed recently, and gives a way to choose.

GloryTecks Team
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Data Analytics
6 May 2026 6 min

Power BI vs Tableau vs Looker: A 2026 Comparison

Power BI, Tableau and Looker compared from each vendor's own documentation: where reports are built, how each models and queries data, what is free, how sharing works, which kind of organisation each suits, how Looker differs from Data Studio, and the skills that transfer between all three.

GloryTecks Team
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GCP
6 May 2026 9 min

BigQuery vs Snowflake vs Redshift: A Comparison

BigQuery, Snowflake and Amazon Redshift all separate storage from compute and all speak SQL. They differ in what you manage, what you are billed for and which levers you tune. This comparison is drawn from each vendor's documentation, with a model of how idle time drives the bill on time-based compute.

GloryTecks Team
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Data Engineering
6 May 2026 6 min

Kafka vs RabbitMQ vs Pulsar: A Comparison

Kafka, RabbitMQ and Pulsar compared for data and application teams: the queue model against the log model, shown by sending the same 1,000 events through live RabbitMQ and Kafka brokers, where a second reader got nothing from the queue and everything from the log, then routing, ordering, retention and Pulsar's design.

GloryTecks Team
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AWS
6 May 2026 8 min

Redshift vs Snowflake vs BigQuery: A Comparison

Redshift, Snowflake and BigQuery bill for different things: running time, data scanned, capacity-hours. Pricing pages make them hard to compare. This guide prices one realistic workload in each warehouse's own unit, from documented billing rules, and shows the single setting that dominates each bill.

GloryTecks Team
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