Here’s the difference between Meltano and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Provider of open-source extract, load and transform pipelines for DataOps. It is a directory with text-based files and features such as tracking of incremental replication rate, data loading into data warehouses, UI for management and monitoring, as well as data extraction from multiple data sources.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
Overview | ||
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Categories | ETL Tools | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | Open source | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | US | US |
Companies using it | ||
Contact info |