Business Software for Presto

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    Astro by Astronomer Reviews
    Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.
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    Amazon EMR Reviews
    Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.
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    Privacera Reviews
    Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.
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    Matik Reviews
    Matik automates the creation of presentations, documents, and reports directly from your data, powered by AI you can trust. Anyone can instantly generate insights, align messaging, and scale best practices for faster data-driven storytelling that sparks action.
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    Okera Reviews
    Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.
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    Apache Superset Reviews
    Superset is a speedy, efficient, and user-friendly tool that offers a wide array of features enabling users of varying expertise to analyze and visualize their data, ranging from basic line graphs to intricate geospatial visualizations. It has the capability to link with any SQL-based data source via SQLAlchemy, accommodating contemporary cloud-native databases and systems that handle vast amounts of data, even at petabyte levels. Not only is Superset lightweight, but it also boasts impressive scalability, making the most of your current data infrastructure without the need for an additional ingestion layer. This flexibility ensures that users can seamlessly integrate Superset into their existing data workflows.
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    Acryl Data Reviews
    Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management.
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    Intelswift Reviews

    Intelswift

    Intelswift

    $19 per month
    Our mission is to make online communication with customers quick and personalized throughout the entire customer journey. Ask Copilot to generate reports in seconds for your business. No need to learn a new data visualization tool. Forecasting sales and demand will help you stay ahead of your competition. Stay on top of data anomalies to gain insights into your customers' needs. Connect your business data to AI Copilot and use it to make data-driven decision. Our platform was born out of necessity and has evolved into a solution that helps startups and small business connect with their audience, nurture lead generation, and ultimately thrive.
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    Borneo Reviews
    Borneo serves as an advanced platform for real-time data security and privacy observability, aimed at equipping organizations with the tools needed to identify, address, and manage data risks while upholding privacy standards and compliance requirements. It allows users to pinpoint the locations of health, financial, and personally identifiable information (PII) across various unstructured data sources, SaaS applications, and public cloud settings. By utilizing a sophisticated risk correlation engine, Borneo detects data that breaches security protocols and privacy laws, facilitating prompt intervention. The platform also provides automated remediation options such as data masking, modifications to access permissions, and encryption, all while continuously monitoring data changes to ensure compliance and mitigate regulatory risks. Developed by former security experts from firms like Uber, Facebook, and Yahoo, Borneo is engineered to effectively manage data at scale. It incorporates a robust connector framework for seamless integration across disparate data environments, promotes flexible and modular deployment options, and guarantees that data remains securely within the user's cloud infrastructure. Ultimately, Borneo empowers organizations to maintain a proactive stance on data security and privacy management.
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    Longview Transfer Pricing Reviews
    Longview Transfer Pricing enhances and simplifies the process of operational transfer pricing by consolidating data from various sources into a unified system where aspects like data collection, allocation, segmented reporting, and profitability assessments are managed through user-friendly, customizable modules. Its rule-based engine facilitates the calculation of transfer price targets and necessary adjustments across product, entity, and counterparty levels, allows for intraperiod examinations and goal-seeking scenarios, and utilizes historical data to track margins and uphold global compliance standards. Users are empowered to organize intercompany transactions, establish multi-dimensional segments—such as product, geographic region, and cost center—and perform real-time currency conversions while managing FX rates seamlessly. Furthermore, with the help of dynamic dashboards, engaging visualizations, and detailed analytics, finance and tax professionals can derive valuable insights into pricing strategies, all while ensuring comprehensive audit trails and documentation that align with BEPS regulations. This comprehensive approach not only streamlines compliance but also enhances decision-making capabilities across the organization.
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    AtomicJar Reviews
    By shifting testing to the left, issues can be identified sooner, making them cheaper and easier to resolve. This practice empowers developers to enhance their integration testing, which in turn reduces development cycles and boosts overall productivity. With more efficient and comprehensive integration feedback loops, products become significantly more reliable. Testcontainers Cloud simplifies the process for developers to execute dependable integration tests, utilizing real dependencies that are specified in code, seamlessly transitioning from personal laptops to team continuous integration (CI) systems. As an open-source framework, Testcontainers offers ephemeral, lightweight instances of databases, message brokers, web browsers, and virtually any application compatible with Docker containers. This eliminates the need for complicated mocks or environment setups, allowing developers to define their test dependencies in code; they can then execute their tests, automatically creating and subsequently removing the necessary containers. Ultimately, this approach fosters a more agile development environment, ensuring that teams can deliver high-quality software more efficiently.
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