Shaped Integrations

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.

Get to know your customers. Get a deeper understanding of your customers. Google Analytics gives you the free tools you need to analyze data for your business in one place. Google Analytics 4 (GA4) is the latest iteration of Google’s analytics platform, designed to provide a deeper and more comprehensive understanding of user behavior across websites and apps. Built with a privacy-centric approach, GA4 leverages event-based tracking instead of session-based tracking, enabling more flexible and detailed data collection. It offers advanced features like cross-platform tracking, machine learning-powered insights, and predictive analytics to help businesses better understand customer journeys and make data-driven decisions. With improved integration with Google Ads and customizable reporting, GA4 empowers organizations to optimize their marketing strategies while adhering to evolving privacy regulations.

At Mixpanel, our mission is to increase the rate of innovation. Not only as a company, but for the businesses we serve. Through our analytics and engagement product, companies can analyze how and why their users engage, convert, and retain in real-time across web, mobile, and smart devices. Then they can use that data to improve their business and products. Mixpanel serves over 26,000 companies from different industries around the world, including Samsung, Twitter, and BMW. Headquartered in San Francisco, Mixpanel has offices in New York, Seattle, Austin, London, Barcelona, Paris, and Singapore. Great products are built by teams who know their users. Go beneath the surface to learn which features are popular, who your power users are, and the behaviors tied to long-term retention. See which features are popular and how many power users you have.

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world. Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability.

Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.

Cloud Firestore is a fast, fully managed, serverless, cloud-native NoSQL document database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at global scale. Its client libraries provide live synchronization and offline support, while its security features and integrations with Firebase and Google Cloud Platform (GCP) accelerate the building of truly serverless apps. Firestore offers a great developer experience with built-in live synchronization, offline support, and ACID transactions. These features are available across a robust set of client and server-side libraries. Firestore automatically scales up and down based on demand. It requires no maintenance and provides high availability of 99.99–99.999% achieved through strongly consistent data replication. No-ops database lets you pay only for what you use—no up-front expenditure or underutilized resources. Simplified architecture lets your apps talk directly to Firestore.

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. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

Amplitude is a digital analytics platform that helps organizations understand user behavior, improve customer experiences, and accelerate product growth with AI-powered insights. The platform combines product analytics, web analytics, session replay, experimentation, feature management, data governance, and AI agents in a single solution. Its AI capabilities allow teams to ask natural-language questions, automate recurring analysis, and receive actionable recommendations directly within their preferred AI tools. Amplitude also enables businesses to launch experiments, personalize user experiences, collect customer feedback, and measure the impact of every product change. With integrations, governance controls, and enterprise-grade security, it provides trusted data for product, engineering, marketing, and executive teams. Amplitude helps organizations make faster, data-driven decisions that improve acquisition, retention, monetization, and overall digital experiences.

Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.

AccessOwl is an Access Governance and SaaS management tool that simplifies the management of employee access to SaaS applications, from onboarding to offboarding. As the central hub for SaaS access, it eliminates the need to ask who manages specific tools or what approval is required, while tracking every app, user access, and permission used in the organization. AccessOwl automates user account provisioning, access requests, approvals, reviews, and Shadow IT detection, helping teams replace spreadsheets with a source of truth and reduce the risk of missed offboardings. It integrates with Slack so employees can request access directly where they already work, and HRIS integrations automate employee onboarding and offboarding while syncing employee details such as title, department, and manager. AccessOwl can provision and deprovision users across hundreds of SaaS applications without requiring SCIM or SAML.

PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade.

Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.