Best Business Intelligence Software for Git

Find and compare the best Business Intelligence software for Git in 2025

Use the comparison tool below to compare the top Business Intelligence software for Git on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    LinearB Reviews

    LinearB

    LinearB

    $15 per dev per month
    1 Rating
    We combine and reconstruct Git, release and project data to provide real-time project insight and team metrics. This is done with no manual updates or interruptions to developers. LinearB's Software Delivery Intelligence platform analyzes hundreds if not thousands of signals from your Git or project systems every minute to highlight areas where you can make the most impact on your team. Software Delivery Intelligence is a tool that helps developers accelerate their delivery. It correlates development pipeline data (code, git, projects and CI/CD) to provide visibility, context, and workflow automation for each member of the team.
  • 2
    eazyBI Reports and Charts Reviews
    eazyBI, a powerful business intelligence tool, provides an easy-to use drag-and-drop interface to create custom reports, charts and dashboards. - Import your data directly from Jira, Confluence and other Atlassian marketplace apps. - Add additional data to external data sources such as SQL databases, REST APIs, Google Sheets and CSV or Excel spreadsheets. - Create pivot tables reports and interactive charts. You can drill into details or across dimensions directly from the chart to identify your top performers and trends. - You can use many predefined calculated measures from eazyBI or create your own calculations using powerful custom calculation formulas based upon MDX query language. - Publish eazyBI Reports as gadgets on Jira dashboards and Confluence pages, or embed your reports using<iframe>.</iframe>
  • 3
    bipp Reviews

    bipp

    bipp analytics

    $10 per user per month
    Bipp's cloud BI platform, built on the innovative bippLang data modeling language, was crafted specifically for SQL and data analysts from its inception. It enhances productivity for teams, equipping businesses to make quicker and more informed decisions. The bippLang data modeling language simplifies SQL queries by enabling the creation of reusable, intricate data models that incorporate custom columns and dynamic sub-queries. With Git-based version control, analysts can work collaboratively, ensuring that all data models and SQL queries are consistently backed up. The always-free version provides access to a robust BI platform with professional support at no charge. In-database analytics eliminates the need to transfer data to another system, accelerating access and yielding real-time results. The auto-SQL generator intelligently utilizes defined joins in the data model to determine which tables to combine and dynamically generates sub-queries based on the context. Furthermore, the single source of truth data models guarantee that every individual in the organization relies on identical data for their business decisions, fostering consistency and reliability across the board. This comprehensive approach not only enhances collaboration but also solidifies the foundation for smarter strategic planning.
  • 4
    Plandek Reviews

    Plandek

    Plandek

    $1900 per month
    Plandek is an intelligent analytics platform that empowers software engineering teams and leaders to deliver value faster and more predictably. Celebrated by Gartner and Forrester as a 'leading global vendor', Plandek mines data from delivery teams’ toolsets and gives them the opportunity to optimise their delivery process using both intelligent insights and predictive analytics.
  • 5
    Deep.BI Reviews
    Deep.BI empowers enterprises in sectors such as Media, Insurance, E-commerce, and Banking to boost their revenues by predicting distinct user behaviors and automating processes that convert these users into paying customers while ensuring their retention. This predictive customer data platform features a real-time user scoring system supported by Deep.BI's advanced enterprise data warehouse. By utilizing this technology, digital businesses and platforms can enhance their offerings, content, and distribution strategies. The platform gathers comprehensive data regarding product utilization and content engagement, delivering immediate, actionable insights. These insights are produced within moments via the Deep.Conveyor data pipeline and can be analyzed using the Deep.Explorer business intelligence platform, which is further enhanced by the Deep.Score event scoring engine that employs tailored AI algorithms specific to your requirements. Additionally, the insights are primed for automation through the high-speed API and AI model serving capabilities of Deep.Conductor, ensuring rapid and efficient implementation. Ultimately, Deep.BI provides a holistic approach to understanding and optimizing user interactions across various digital platforms.
  • 6
    Bytesafe Reviews

    Bytesafe

    Bitfront

    €1100 per month
    Enhance your security framework for open source by implementing automated best practices, creating an integrated workflow that benefits both security and development teams. This cloud-native security solution minimizes risk and safeguards revenue while allowing developers to maintain their pace. The dependency firewall effectively isolates harmful open source elements before they can affect developers and infrastructure, thus preserving data integrity, company assets, and brand reputation. Our comprehensive policy engine examines various threat indicators, including recognized vulnerabilities, licensing details, and rules defined by the customer. Gaining visibility into the open-source components utilized in applications is essential for mitigating potential vulnerabilities. The Software Composition Analysis (SCA) and dashboard reporting provide stakeholders with a complete perspective and prompt updates regarding the existing environment. Additionally, you can detect the introduction of new open-source licenses within the codebase and automatically monitor compliance issues involving licenses, effectively managing any problematic or unlicensed packages. By adopting these measures, organizations can significantly improve their ability to respond to security challenges in real time.
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