
CodeClimate
Codacy
SonarQube
ESLint
Coveralls
SensioLabs Insight
CodeFactor.io
Source-Navigator NG
Azure Synapse Analytics
Google BigQuery
Databricks Unified Analytics Platform
Apache Zeppelin
Amazon SageMaker
Saturn Cloud
GeoSpock
Delta Lake
CodeClimate
Azure Synapse AnalyticsBased on our record, CodeClimate should be more popular than Azure Synapse Analytics. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / about 2 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / about 2 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 9 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / about 1 year ago
Ready to dive deeper? Start a free Azure account today and explore the capabilities of Synapse Analytics. Visit the official Microsoft documentation for detailed guides and tutorials: https://azure.microsoft.com/en-us/products/synapse-analytics/ The future of data analytics is here, and itโs powered by Azure Synapse. - Source: dev.to / about 1 year ago
Azure Synapse Analytics: DbVisualizer now has extended support for dedicated and serverless SQL pools in Azure Synapse Analytics. That includes support for database-scoped credentials, external file formats and data sources, and external tables. For more information, see the Azure Synapse Dedicated and Azure Synapse Serverless pages on the official site. - Source: dev.to / almost 2 years ago
A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 3 years ago
You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 4 years ago
Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 4 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
ESLint - The fully pluggable JavaScript code quality tool
Apache Zeppelin - A web-based notebook that enables interactive data analytics.