Shaped Integrations

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Snowflake is a cloud-native data platform that combines data warehousing, data lakes, and data sharing into a single solution. By offering elastic scalability and automatic scaling, Snowflake enables businesses to handle vast amounts of data while maintaining high performance at low cost. The platform's architecture allows users to separate storage and compute, offering flexibility in managing workloads. Snowflake supports real-time data sharing and integrates seamlessly with other analytics tools, enabling teams to collaborate and gain insights from their data more efficiently. Its secure, multi-cloud architecture makes it a strong choice for enterprises looking to leverage data at scale.

Familiarize yourself with your clientele for a more profound insight into their behaviors. Google Analytics equips you with essential, cost-free resources to evaluate your business data seamlessly in a single platform. The newest version, Google Analytics 4 (GA4), enhances the previous analytics system by offering a more in-depth and holistic view of user interactions on both websites and applications. Emphasizing user privacy, GA4 utilizes event-driven tracking rather than traditional session-based methods, facilitating a more versatile and nuanced approach to data gathering. It introduces sophisticated capabilities such as tracking across different platforms, insights powered by machine learning, and predictive analytics to aid businesses in comprehending customer pathways and making informed decisions based on data. Additionally, with its improved compatibility with Google Ads and the ability to customize reports, GA4 empowers companies to refine their marketing strategies while remaining compliant with changing privacy standards, ultimately leading to more effective customer engagement. As businesses continue to adapt to the digital landscape, leveraging these tools will be crucial for sustained success.

Mixpanel's mission is to increase innovation. Mixpanel is not only a company but also a service provider for businesses. Companies can use our engagement and analytics product to analyze how users interact, convert, retain, and engage with them in real-time on web, mobile, or smart devices. They can then use this data to improve their products and business. Mixpanel serves more than 26,000 companies in different industries worldwide, including Samsung, Twitter and BMW. Mixpanel is headquartered in San Francisco and has offices in New York City, Seattle, Austin. London, Paris, Barcelona, Paris, London, and Singapore.

MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.

Amazon Simple Storage Service (Amazon S3) is a versatile object storage solution that provides exceptional scalability, data availability, security, and performance. It accommodates clients from various sectors, enabling them to securely store and manage any volume of data for diverse applications, including data lakes, websites, mobile apps, backups, archiving, enterprise software, IoT devices, and big data analytics. With user-friendly management tools, Amazon S3 allows users to effectively organize their data and set tailored access permissions to satisfy their unique business, organizational, and compliance needs. Offering an impressive durability rate of 99.999999999% (11 nines), it supports millions of applications for businesses globally. Businesses can easily adjust their storage capacity to match changing demands without needing upfront investments or lengthy resource acquisition processes. Furthermore, the high durability ensures that data remains safe and accessible, contributing to operational resilience and peace of mind for organizations.

Cloud Firestore is a highly efficient, fully managed, serverless NoSQL document database designed to streamline the storage, synchronization, and querying of data for mobile, web, and IoT applications on a global scale. It features client libraries that ensure real-time synchronization and offline capabilities, while its security measures and seamless integrations with Firebase and Google Cloud Platform (GCP) facilitate the rapid development of genuinely serverless applications. With an emphasis on providing an excellent developer experience, Firestore incorporates built-in live synchronization, offline support, and ACID transactions, all accessible through a comprehensive array of client and server-side libraries. The system automatically adjusts to varying demand levels, eliminating the need for maintenance and delivering impressive availability rates between 99.99% and 99.999% through reliable data replication. Operating as a no-operations database, it allows users to pay solely for what they consume, avoiding upfront costs and issues related to underutilization of resources. Its simplified architecture enables direct communication between your applications and Firestore, enhancing overall efficiency and performance. Additionally, the continuous updates and improvements to the platform ensure that developers can leverage the latest features and security enhancements effortlessly.

Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Using Twilio Segment, companies can collect, unify and route their customer data into any system. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

Create products that yield significant results. Amplitude serves as a product intelligence platform designed to assist teams in converting, engaging, and retaining their customer base. Digital product teams rely on Amplitude to gain insights into user behavior, enhance user experiences, and improve customer retention rates. Achieve a comprehensive understanding of how customers interact with your digital offerings. Equip teams to expedite their shipping processes, assess impact, and map out user journeys effectively. Tailor product experiences to boost engagement, conversions, and customer loyalty. With product intelligence, teams access the necessary data and insights to craft exceptional product experiences efficiently and at scale. Leverage self-service analytics to uncover what occurs, the reasons behind it, and strategies for product enhancement. Synchronize decision-making and seamlessly incorporate Amplitude into your existing workflows and technology infrastructure to enact swift changes and improvements. Ultimately, this approach ensures that your product evolves in alignment with customer needs and market demands.

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.