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What is Sider Scan?

Sider Scan is a remarkably effective tool created for software developers to quickly identify and keep track of code duplication issues. It works effortlessly with various platforms like GitLab CI/CD, GitHub Actions, Jenkins, and CircleCI®, and can be installed through a Docker image for convenience. This tool allows team members to easily share the results of their analyses and performs continuous, swift assessments that run in the background without disruption. Users are also provided with dedicated support via both email and phone, enhancing their overall experience with the tool. By delivering thorough analyses of duplicate code, Sider Scan plays a significant role in improving the long-term quality and maintenance of codebases. It is specifically designed to complement other analysis tools, allowing development teams to produce cleaner code while facilitating a seamless continuous delivery process. The tool detects duplicate code fragments within a project and categorizes them into related groups. For each duplicate pair, a diff library is created, and pattern analyses are initiated to identify any underlying issues, a method referred to as the 'pattern' analysis technique. Additionally, to ensure effective time-series analysis, it is essential for scans to be conducted at consistent intervals, which aids in ongoing monitoring. By promoting regular assessments, Sider Scan empowers development teams to uphold high coding standards while proactively tackling duplication challenges, ultimately fostering a culture of code excellence. This consistent effort not only streamlines development processes but also encourages collaboration among team members to achieve common goals.

What is PipelineDB?

PipelineDB acts as an enhancement to PostgreSQL, enabling the effective aggregation of time-series data specifically designed for real-time analytics and reporting needs. It allows users to create continuous SQL queries that consistently compile time-series data while only saving the summarized results in conventional, searchable tables. This method resembles extremely efficient, self-updating materialized views that do not require manual intervention for refreshing. Importantly, PipelineDB does not write raw time-series data to disk, which significantly boosts the performance of aggregation operations. The continuous queries produce their own output streams, facilitating the easy integration of various continuous SQL processes into intricate networks. This capability guarantees that users can develop sophisticated analytics solutions that adapt in real time to incoming data, making it a powerful tool for data-driven decision-making. Moreover, the ability to link multiple data streams enhances the potential for comprehensive insights from diverse datasets.

Media

Media

Integrations Supported

C
C#
C++
CircleCI
Docker
Git
GitHub
GitLab
Java
JavaScript
Jenkins
Objective-C
PHP
Python
Ruby
TypeScript
Visual Basic

Integrations Supported

Luzmo
PostgreSQL
Vertica

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sider Scan

Company Location

United States

Company Website

siderlabs.com/scan/

Company Facts

Organization Name

PipelineDB

Company Location

United States

Company Website

github.com/pipelinedb/pipelinedb

Categories and Features

Code Quality

Not specified

Static Code Analysis

Not specified

Categories and Features

Database

Data Security
Mobile Access
NOSQL
Performance Analysis
Queries
Relational Interface

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