Alternatives to Google Ads Data Hub

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

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.

Our data management platform gives publishers the power to make precise first-party data-driven decisions for real-time, accurate audience targeting and reach. No gut feeling-based actions. We collate, enhance and optimize our customer's first-party data in a privacy-safe and secure way to unlock its full potential.

With the decline of third-party cookies, the rise of data privacy regulations, and consumer opt-out options becoming more prevalent, crucial customer insights are often trapped within isolated platforms and ecosystems. Introducing the LiveRamp Clean Room, powered by Habu, which enables you to enhance your return on ad spend (ROAS) by seamlessly integrating, analyzing, and activating your data across various platforms. By utilizing this solution, you can achieve a comprehensive understanding of performance metrics across all advertising channels, including walled gardens, connected TV providers, and social media platforms, empowering you to make informed strategic decisions based on complete datasets. This innovative tool fosters privacy-centric data collaboration within the expanding LiveRamp global ecosystem, unveiling fresh opportunities while advancing your marketing campaigns. You can also expedite the realization of value through a customized user experience designed for business professionals, featuring prebuilt templates and generative AI, alongside advanced analytics for more technical users. In addition, you will be able to optimize your spending with clear visibility across walled gardens, channels, and cloud environments, ensuring you make the most informed choices for your advertising budget. Ultimately, the LiveRamp Clean Room serves as a crucial asset in navigating the shifting landscape of data privacy and marketing analytics.

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.

Optable provides a comprehensive data clean room platform designed for seamless activation. This innovative technology empowers both publishers and advertisers to securely strategize, implement, and evaluate their advertising efforts. Representing a new era of data collaboration that prioritizes privacy, Optable enables clients to engage with both their own customers and partners, including those who may not use the platform. Utilizing the platform's Flash Nodes, users can invite external participants into a protected setting. Additionally, Optable features a decentralized identity infrastructure that facilitates the construction of private identity graphs. This setup allows for the creation of purpose-specific, permission-based data clean rooms that significantly reduce data transfer. Ensuring compatibility with data warehouses and other clean rooms is vital to its functionality. Furthermore, by leveraging open-source software, third-party platforms can effectively match their data with Optable's clients and implement secure clean room capabilities tailored to their needs, thereby enhancing the overall efficacy of data collaboration. This multi-faceted approach positions Optable as a leader in the evolving landscape of data privacy and collaboration.

Permutive's groundbreaking Audience Activation Platform effectively connects publishers and advertisers in a dynamic advertising landscape. It empowers publishers to monetize their audience data while enabling advertisers to target effectively, all within a framework that prioritizes privacy. Our data platform for publishers offers two products designed to help you gather, analyze, and activate your data in real-time. After all, you have the deepest insights into your audience. By utilizing Permutive, you can reach more users, expand your segments, and enhance your inventory. Our first-party insights can potentially boost your data-driven advertising revenue by four times. Exclusively tailored for publishers, Permutive employs edge processing technology, which performs calculations on the device that creates the data instead of relying on the cloud, resulting in a faster, more scalable, and privacy-centric platform. This innovative approach not only improves efficiency but also ensures that user data remains protected.

Amazon Marketing Cloud (AMC) serves as a secure and privacy-compliant clean room solution that empowers advertisers to conduct analyses and build audiences using pseudonymized data, which includes insights from Amazon Ads and other sources. By integrating diverse signals from various Amazon platforms, advertisers, and selected external partners, AMC allows for versatile inquiries within a secure privacy framework. This enables advertisers to leverage tailored insights and audience segments derived from AMC to refine their campaign strategies, enhance direct marketing efforts, and shape key business choices. Additionally, users can generate custom audience lists based on interaction logs, conversion events, and segmentation data. The audiences crafted within AMC can be seamlessly activated through Amazon DSP, providing a streamlined approach to targeting. Furthermore, AMC offers a comprehensive view of customer shopping journeys across Amazon’s media and channels, effectively measuring the advertising impact both within and beyond the Amazon ecosystem. Ultimately, this tool not only enhances advertising strategies but also fosters a deeper understanding of consumer behavior and preferences.

Instantiate clean rooms swiftly and engage with your partners while keeping raw data private. AWS Clean Rooms enables clients to swiftly and effortlessly set up their own clean rooms without the burden of developing, overseeing, and maintaining their proprietary solutions. Companies can leverage APIs to seamlessly embed AWS Clean Rooms’ capabilities into their existing workflows. This innovative service allows businesses and their collaborators to analyze and share insights from their combined datasets securely, all while ensuring that no underlying data is exchanged or duplicated. With AWS Clean Rooms, establishing a secure data clean room can be done in mere minutes, allowing collaboration with any AWS partner to uncover valuable insights related to advertising initiatives, investment strategies, and research and development projects. Furthermore, AWS Clean Rooms simplifies the process of deriving insights from data contributed by multiple parties, facilitating minimal data transfer and safeguarding the confidentiality of all underlying information. This solution not only enhances collaboration but also fosters a culture of data privacy among organizations.

InfoSum unlocks data’s unlimited potential. InfoSum uses patented privacy-first technology to connect customer records between companies without sharing data. InfoSum is trusted by customers in financial services, content distribution and connected television as well as gaming, entertainment, and gaming. It seamlessly and compliantly connects customer data to other partners via privacy-safe, permission-controlled data networks. InfoSum's technology has many uses, from the standard 'data-onboarding" to more complex use cases that allow the creation of own identity platforms, the development and sale of new products and data, and the creation of completely new markets. InfoSum was established in 2015. InfoSum was founded in 2015. The company is poised to experience exponential growth.

Zeotap is a Customer Intelligence Platform, (CIP). It helps companies better understand their customers to predict their behavior and make more meaningful investments. Our platform allows brands to leverage a core of first-party data to win new clients and grow their customer base. Our modules are independent but integrate and include customer data unification, identity resolution (including in data clean rooms), enrichment, modeling, and activation to more than 100 partners in the marketing ecosystem. Gartner has named us a "Cool Vendor" in 2020 and AdExchanger the "Best Data-Enabling Technology” in 2019. Our platform meets the highest standards for enterprise data privacy and security, including ISO 27001 and CSA STAR. We serve top brands, publishers, and agencies in more than a dozen countries in Europe and North America. Zeotap is also a founding member of ID+, an initiative for universal marketing ID.

Organizations focused on privacy collaborate with Decentriq to ensure robust data protection. Utilizing cutting-edge encryption and privacy-enhancing technologies, including synthetic data, differential privacy, and confidential computing, you retain complete control over your data at all times. The implementation of end-to-end encryption guarantees that your data remains confidential from all external parties. Importantly, Decentriq is unable to view or access your data directly. Furthermore, remote attestation provides assurance that your information is securely encrypted and that only authorized analyses are conducted. The platform is built in partnership with top-tier hardware and infrastructure providers, ensuring optimal performance. It is specifically designed to accommodate even the most sophisticated AI and machine learning models, keeping your data secure regardless of the complexities involved. With processing speeds that rival traditional cloud solutions, you can enjoy both scalability and superior data protection. Additionally, our expanding network of data connectors facilitates more efficient workflows across various leading data platforms, enhancing overall productivity.

xtendr reveals comprehensive, privacy-focused insights from various independent data sources while ensuring user protection throughout the entire data lifecycle. This innovative platform provides access to previously unreachable data and instills confidence in both privacy and adherence to regulations. Beyond mere anonymity, xtendr addresses the critical gap in multi-party data sharing by offering robust privacy safeguards, effectively serving as a guardian of your data through advanced cryptography, enabling you to unlock your full potential. It represents the pinnacle of privacy-enhancing data collaboration technology, having successfully tackled the long-standing cryptographic challenges associated with data sharing among parties that may not fully trust one another. With xtendr, organizations can advance their operations through an enterprise-level data protection solution that facilitates the formation of data partnerships while safeguarding sensitive information. In today's digital landscape, data is increasingly recognized as a vital currency, with many asserting that it is surpassing oil as the most valuable asset, underscoring its ever-growing significance. As we continue to embrace this digital evolution, the importance of secure data sharing becomes ever more critical for businesses looking to thrive in an interconnected world.

Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.

Helios Data employs a distinctive algorithmic governance strategy that utilizes secure enclave technology safeguarded by digital contracts, monitored by algorithmic "fingerprints," to facilitate safe and efficient data analysis and processing. This innovative approach enables businesses that handle personal or sensitive information, along with their analytical partners, to safely resume and expand their data-driven analytical and monetization efforts in a cost-effective manner. By significantly reducing the risks associated with data sharing and usage, companies can also lower their expenses related to data monetization, all while enhancing the value derived from their enterprise's personal and sensitive data assets. This method revitalizes business models and uncovers new revenue opportunities that may have been stifled due to concerns over data protection and privacy. Additionally, the technology of digital contract governance introduces accuracy and real-time enforcement to what would typically be passive legal agreements or data processing contracts. The implementation of "confidential compute" secure enclave technology provides a robust guarantee of data-in-use protection, ensuring that no information can be leaked, lost, exposed, misused, or misdirected, thus bolstering trust in data handling practices. Overall, Helios Data's approach not only enhances security but also empowers organizations to harness their data’s full potential.

Utilize a comprehensive technology stack designed to oversee the delivery of tailored advertisements, track attribution, and analyze performance across various media and eCommerce platforms. Enhance media effectiveness and return on investment (ROI) by ensuring that the appropriate message reaches the intended audience at the optimal moment, while fully understanding each customer's intentions throughout their purchasing journey. Leverage cross-channel analytics and sales attribution through secure data environments. Gather and handle real-time consumer engagement data with proper consent, allowing for personalized messaging across multiple channels to cater to the unique preferences of individual customers. Foster collaboration across the organization to facilitate smooth implementation from global strategies to local execution. Additionally, pinpoint consumers currently in the market and utilize algorithms to match them with the most relevant products, offers, pricing strategies, and content tailored to their needs. This integrated approach not only streamlines marketing efforts but also maximizes engagement and conversion rates.

SecurePlus seamlessly integrates into existing systems, allowing you to quickly and easily set up collaboration projects. Our applications include analytics and machine learning, query and collaboration hub. They allow you to run descriptive statistics, train, tune, deploy AI and ML models, and execute SQL-like queries. All this while using encrypted data. Securely collaborate in any environment with partners to unlock the potential of your data, increase revenue, and improve efficiency within your organization. To train and tune models and deploy analytics on aggregated data, you can link disparate data sets without exposing the underlying information. Decentralized data sets can be encrypted and used to create models and queries. They are protected from reverse engineering. To enable customers and partners to securely collaborate, create and manage your own secure collaboration network.

Vendia is a Software as a Service (SaaS) platform that facilitates seamless sharing of code and data across various clouds, regions, and technology stacks for businesses and organizations. By allowing enterprises to collaborate effectively, Vendia streamlines the sharing process across distinct companies, accounts, and environments. Its innovative architecture employs a distributed data model that ensures accessibility wherever it's needed, complemented by a serverless design that allows for effortless scaling. Vendia empowers businesses to develop a comprehensive view of their data, which is particularly useful for tracking and tracing items throughout a supply chain. This data often involves multiple business parties, including suppliers, logistics providers, and affiliates, which may consist of different legal entities or divisions within a single organization. Additionally, it accommodates scenarios where departments are separated by their choice of cloud services, such as one utilizing AWS while another opts for Azure. This versatility and adaptability make Vendia a crucial tool for modern enterprises navigating complex data-sharing challenges.

We empower businesses to harness the potential of first-party data collaboration while minimizing associated risks. By converting consumer data from a potential burden into a valuable revenue-generating asset, organizations can flourish in a landscape that has moved beyond traditional cookies. Our approach allows for enhanced collaboration with additional partners, thereby maximizing value for customers. Furthermore, we facilitate financial inclusion and boost revenue through innovative partnerships that utilize alternative data sources. Our solution improves underwriting accuracy and optimizes profitability by incorporating these diverse data streams. Each participant employs our secure desktop application to anonymize, tokenize, and safeguard all personally identifiable information within their consumer data, ensuring it remains protected in their local environment. This procedure produces US-patented crypto-IDs for each anonymized consumer profile, allowing for the secure matching of shared consumers across various datasets in our neutral Cloud environment. With our cutting-edge technology, we are at the forefront of the next evolution in consumer data management and collaboration. This ensures that businesses can thrive in a data-driven future while maintaining the highest standards of privacy and security.

Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers. Our end-to-end data collaboration platform Spherical empowers thousands of marketers, agencies, and media owners to onboard, access, analyze, and activate the data they need to understand and engage consumers. Our proven commitment to industry interoperability, connectivity, and privacy help drive successful business outcomes for companies on their terms. Who uses Lotame? Marketers and media owners, serving global clients in North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.

An enterprise-level platform empowers organizations to harness sensitive data while facilitating the execution of cloud-scale, general-purpose AI tasks on encrypted information with guaranteed privacy protections. Many organizations find themselves with a wealth of confidential data that remains inaccessible due to privacy issues. Opaque Systems transforms this challenge into an opportunity by allowing secure analytics and machine learning on encrypted data sourced from multiple origins. With Opaque Systems, businesses can effectively analyze their encrypted data in the cloud using well-known tools such as Apache Spark, all while ensuring that their information remains shielded from exposure to the cloud provider in an unencrypted state. The company offers the MC2 Platform, an open-source solution that integrates a groundbreaking fusion of two essential technologies—secure hardware enclaves paired with cryptographic fortification. This innovative combination guarantees that computations remain secure, efficient, and scalable, ultimately enabling organizations to leverage their sensitive data without compromising privacy. Consequently, Opaque Systems paves the way for organizations to gain valuable insights from their data assets, fostering a new era of data-driven decision-making.

Google Cloud's Analytics Hub serves as a data exchange platform that empowers organizations to share data assets securely and efficiently beyond their internal boundaries, tackling issues related to data integrity and associated costs. Leveraging the robust scalability and adaptability of BigQuery, it enables users to create a comprehensive library encompassing both internal and external datasets, including distinctive data like Google Trends. The platform simplifies the publication, discovery, and subscription processes for data exchanges, eliminating the need for data transfers and enhancing the ease of access to data and analytical resources. Additionally, Analytics Hub ensures privacy-safe and secure data sharing through stringent governance practices, incorporating advanced security features and encryption protocols from BigQuery, Cloud IAM, and VPC Security Controls. By utilizing Analytics Hub, organizations can maximize the return on their data investment through effective data exchange strategies, while also fostering collaboration across different departments. Ultimately, this innovative platform enhances data-driven decision-making by providing seamless access to a wider array of data assets.

AppsFlyer helps brands make good choices for their business and their customers with its advanced measurement, data analytics, deep linking, engagement, fraud protection, data clean room and privacy-preserving technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 10,000+ technology partners to create better, more meaningful customer relationships. To learn more, visit appsflyer.com.

Easily generate reports and keep them updated automatically in Google Sheets. Seamlessly pull data from platforms like Google Ads, Facebook, Google Analytics, Google DV360, Google Search Console, DCM, Microsoft Advertising, Criteo, YouTube, and BigQuery. Rest assured, DataSlayer does not have access to your Google Sheets data or any other personal information on your device or cloud. All your spreadsheet and API details are securely stored on Google servers, with no data being passed or retained by DataSlayer. The Enterprise plan of Dataslayer offers a dedicated Account Manager who possesses expertise in performance marketing. With Dataslayer for Google Sheets, you can effortlessly import campaign data from various sources including Facebook, TikTok, Bing, Google Ads, DV360, Google Analytics, and beyond. Obtain your data in just minutes, automate your reporting processes, and start reclaiming valuable time for other tasks. This streamlined approach not only enhances efficiency but also allows for more strategic decision-making based on real-time insights.

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

Analyze, visualize, and gain insights into your website's traffic with Prisme Analytics. This innovative platform empowers you to monitor essential metrics that are critical for your business while allowing you to create stunning, adaptable, and personalized dashboards. You can track specific custom events that truly reflect your business needs, designing dashboards that visualize your data in a manner tailored to your requirements. Prisme prioritizes user privacy, operating without cookies and avoiding the storage of any Personally Identifiable Information (PII), ensuring compliance with various privacy regulations such as GDPR, PECR, and CCPA. As a privacy-conscious alternative to Google Analytics, Prisme emphasizes that you should never have to compromise between user privacy and effective analytical tools. Furthermore, Prisme is user-friendly, lightweight, adaptable, and open-source, providing a seamless experience for all users. Built upon advanced open-source technologies for data visualization and storage, utilizing Grafana and ClickHouse, Prisme Analytics sets a new standard in the realm of web analytics.

Managed services for integrated monitoring, logging, and tracing are available for applications and systems operating on Google Cloud and other platforms. Cloud Logging serves as a fully managed, scalable solution that can import log data from various applications and platforms, including custom logs from GKE environments, virtual machines, and additional services, facilitating seamless data transfer to and from Google Cloud. With Log Statistics, users can gain insights into performance, troubleshooting, security, and business metrics through the integration of BigQuery into Cloud Logging, enhancing data analysis capabilities. Additionally, Cloud Monitoring offers a comprehensive view of the performance, uptime, and overall health of applications hosted in the cloud. It gathers metrics, events, and metadata from Google Cloud services, conducts uptime monitoring, and captures application instrumentation, thus providing a holistic overview of system performance. This comprehensive approach ensures that businesses can maintain optimal operations in their cloud environments.

Google Assistant is always available to assist you whenever you need it, no matter where you are. To begin using it, simply press and hold the home button on your device. You also have the ability to formulate personalized queries. Designed with your privacy in mind, Google Assistant ensures that your information remains confidential, secure, and protected. By utilizing Google Assistant, you place your trust in us regarding your data, and we take the responsibility of safeguarding and respecting it seriously. Understanding that privacy is a personal matter, we've developed straightforward privacy controls that empower you to make choices that suit your preferences. Visit this page to discover more about how Google Assistant functions, the privacy settings available to you, frequently asked questions, and additional resources. To initiate, hold down the home button on compatible Android devices or download the Google Assistant application from the App Store. You can effortlessly send texts, set reminders, enable Battery Saver mode, and quickly access your emails. Additionally, Google Assistant can help you manage your daily tasks with ease.

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

A comprehensive and high-quality data feed forms the foundation of your advertising performance. Establishing and sustaining an efficient shopping campaign is crucial for boosting sales and maximizing return on investment. To enhance conversion rates, focus on elevating the quality of your website, building consumer trust, and streamlining the checkout process. Google Partner serves as a valuable platform for agencies and online marketing specialists aiming to optimize their collaboration with Google. I approach my Google Shopping and Google Ads marketing endeavors with utmost seriousness, which not only earns Google’s trust but also instills confidence in my clients. As a result, FeedArmy enjoys numerous advantages, including access to cutting-edge online marketing tools and insights from industry research. Google Product Experts are dedicated volunteers who actively share their expertise, maintain a positive outlook, and engage with the community regularly. By being a product expert, I continuously refine my knowledge, ensuring that I stay well-informed and capable of enhancing advertising strategies effectively while also contributing to the community. This commitment to ongoing education ultimately benefits my clients and their advertising success.

Stay informed about who is at your door with Xailient’s advanced Face Recognition Edge AI technology, which allows users to identify visitors with ease. The term CVOps refers to the enterprise-level processes, roles, and tools necessary for implementing Computer Vision solutions in real-world applications. Orchestrait stands out as the first-ever privacy-conscious Face Recognition system, leveraging cutting-edge Edge AI to comply with biometric data and privacy laws across various regions. It is crucial to gather information responsibly and with precision, and Xailient’s Privacy Safe Data Collection technology enables you to obtain only the essential data required. With Xailient’s Edge AI capabilities, the system can detect incoming movements from a distance of up to 8 meters, marking the initial stage for more comprehensive detection analysis. By incorporating these technologies, users can enhance their security measures and ensure a more efficient monitoring process.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

Google Analytics alternative that puts YOU in control Privacy-first web analytics that allows you to understand your audience and win new clients. Wide Angle Analytics provides a complete picture of your website visitors, and what keeps them interested. A winning combination of GDPR compliance, privacy-first approach and unfair Adblocking avoidance makes for a winning formula. Powerful web analytics with business-grade features. Unmatched reliability, performance, customization, and tailor-made for you business. With a focus on privacy and the law, powerful web analytics. You can see the whole picture of your marketing efforts while respecting the law and user privacy. With business-grade support, powerful web analytics. Respective GDPR compliance. The EU is home to the entire infrastructure. German-made and locally supported. Data processing agreement that protects you business. You can choose to use cookies or not.

OpenBoard is a fully open-source keyboard that is entirely rooted in AOSP, free from any reliance on Google binaries, ensuring that your privacy is upheld. This commitment to privacy makes it an excellent choice for those looking for alternatives to mainstream keyboard applications.

We assist developers in addressing critical global challenges by maximizing the potential of sensitive data while minimizing associated risks. This motivation drives us to create privacy-focused tools for machine learning and analytics tailored for the evolving landscape of distributed data. Various forms of data are continuously produced and kept in cloud environments, on-site locations, and increasingly at the network's edge. The financial burden of de-identifying, transferring, centrally storing, and managing vast amounts of data can often be overwhelming. Regulations such as HIPAA, GDPR, PIPEDA, and CCPA impose restrictions on the ways in which data can be aggregated, particularly across different regions. By utilizing federated learning and analytics, we ensure that only model parameters are transmitted from each private server, allowing data custodians to maintain complete control over their information. By leveraging this innovative approach, businesses can enhance their offerings to existing clients through the development of new features that tap into the shared insights derived from customer data. This way, organizations can not only comply with regulations but also drive growth in a secure and efficient manner.

Say goodbye to unexpected logging fees by collecting data over the years and querying it in mere seconds. Traditional log management solutions can lead to soaring costs quickly. To implement long-term event analytics, you typically need to export data to a CSV file and establish a separate data pipeline to funnel events into a customized data warehouse. However, with Logflare and BigQuery, you can bypass the setup complexity for long-term analytics. You can immediately ingest data, execute queries in seconds, and retain information for years. Utilize our Cloudflare app to capture every request made to your web service seamlessly. Our Cloudflare App worker does not alter your requests; instead, it efficiently extracts request and response data, logging it to Logflare without delay after processing your request. Interested in keeping tabs on your Elixir application? Our library is designed to minimize overhead, as we group logs together and utilize BERT binary serialization to reduce both payload size and serialization load effectively. Once you log in with your Google account, we grant you direct access to your underlying BigQuery table, enhancing your analytic capabilities further. This streamlined approach ensures you can focus on developing your applications without worrying about the intricacies of logging management.

Affinio is a pioneering company in the realm of Augmented Analytics that utilizes its proprietary graph technology to decode the countless connections inherent in vast datasets. By offering AI-driven segmentation and visualization tools, Affinio empowers business users worldwide to quickly uncover valuable insights that inform strategic decisions leading to success. In a landscape overflowing with information and an ever-increasing volume of data, many are creating data lakes, yet few are constructing effective means to navigate them. Affinio’s Analytics and Matchmaker solutions are conveniently accessible through the Snowflake Data Marketplace. Users can execute Affinio’s graph analytics on their own internal first-party PII data by leveraging Snowflake’s technology, enabling anyone—regardless of their technical expertise—to query their data efficiently, with responses generated in mere seconds instead of days. Additionally, users can explore the intersections between their customer information and that of other businesses, providing them the opportunity to collaborate in a data clean room environment. This capability not only enhances data utilization but also fosters strategic partnerships that can lead to mutual growth.

Global 100 companies trust GRAX to enable them to: ✔ Maintain 100% Digital Chain of Custody ✔ Take ownership and control of all Salesforce backup and archive data ✔ Backup, archive, and recover multiple Salesforce Orgs ✔ Reduce storage costs and improve Org performance ✔ Reuse backup/archive data in analytics & reporting ✔ Track manually deleted data ✔ Bring historical Salesforce data into data warehouses ✔ Report on multiple orgs in tools like Tableau ✔ Improve global compliance and governance ✔ Make better predictions through reporting ✔ Answer business questions with their data Your Salesforce backup and archive data has strategic value. GRAX helps you maximize that value by letting you reuse your history to ADAPT FASTER.

A solution tailored for small to medium-sized businesses, eCommerce platforms, and online merchants is imperative, as potential customers often feel uncertain when exploring unfamiliar online stores. Larger platforms dominate the market by accumulating extensive data, customer reviews, and a high level of credibility. This creates a challenging environment for smaller businesses. Credible presents a comprehensive approach that combines review consolidation, social proof, and personalization—three key strategies that effectively enhance consumer trust and boost conversion rates. Businesses can collect, monitor, and upload reviews, while also aggregating feedback from sources like Google, Facebook, and their own websites. By reclaiming control over their reviews, businesses can showcase genuine, positive, and verifiable feedback to potential customers and encourage new visitors to share their experiences. Enhancing credibility while maintaining authenticity is essential. Additionally, displaying recent sales or customer interactions, with options to anonymize certain details, further builds trust. This system automatically personalizes content based on the current visitor's location and interests, ultimately driving increased sales while ensuring that privacy is safeguarded. By embracing these strategies, businesses can foster a deeper connection with their audience.

The Litentry IdentityHub enables the consolidation of your personal information from various blockchains and platforms, granting you fine-tuned control over access to decentralized applications (DApps). Our secure hardware framework ensures that you can maintain your anonymity when necessary while also allowing you to disclose your identity at your discretion. Reclaim ownership of your digital assets with secure, tamper-resistant data containers that are exclusively yours. Uphold the privacy of your ideal user while discovering effective strategies to engage your target market without compromising their trust. Litentry's technology and user-facing solutions cater to all types of identity data creation, processing, and transmission, prioritizing both security and privacy. Furthermore, our offerings facilitate the management of your digital identity data across both Web2 and Web3 ecosystems, making it possible to create and oversee a verifiable identity through privacy-centric computational methods, thereby enhancing your control over personal information.

Consent effectiveness and the safeguarding of privacy are paramount in today's digital landscape. Our system employs automatic website scanning alongside privacy-centric analytics to ensure compliance. When users visit a site for the first time or engage with the CookieQ privacy button, a consent panel appears, allowing them to manage their preferences regarding cookies, storage, and personal data processing by various third parties listed. Any entities that the user has not authorized will be prevented from accessing their browser, thereby enhancing user security. We uphold a comprehensive database that catalogs known cookie names and third-party domains to provide precise data regarding first-party cookies and third-party interactions for users. Additionally, Baycloud boasts a sophisticated API that enables client-side JavaScript to seamlessly connect with the Consent Platform. Beyond the conventional TCF 1.1 and 2.0 functionalities, users can also request consent directly or manage it through custom user interface elements. This approach not only fosters trust but also empowers users to take control of their online privacy.

AnswerDock is an innovative analytics platform powered by AI, designed specifically for enterprise use. It enables business users to obtain answers to their inquiries and facilitates quicker, more informed decision-making without relying on data analysts. Users can gain immediate insights from their data warehouses through live queries, compatible with platforms like Snowflake, Amazon Redshift, Microsoft Synapse, and Google BigQuery. Additionally, it allows for the uploading of Excel files and connections to traditional relational databases such as MySQL and SQL Server, along with third-party APIs like Google Analytics. You can explore AnswerDock using a sample retail dataset without the hassle of registration or login. For those interested in using their own data, signing up for the free version provides access to all features. With AnswerDock, business users can effortlessly generate their own reports and dashboards by simply entering their questions, similar to how one would use a web search engine. For instance, if you need a sales report, just type in "Top 10 Sales People by growth in number of leads this quarter," and AnswerDock will conduct the analysis and present the best visualization in an instant, making the process incredibly straightforward and user-friendly. This platform is revolutionizing the way companies interact with their data, empowering them to make data-driven decisions with ease.

Recover conversions that may have been lost due to intelligent tracking prevention, private browsing modes, and the complexities of cross-device and cross-browser customer journeys by utilizing SegmentStream's AI-driven predictive attribution. Aggregate all your marketing data within your own Google BigQuery data warehouse, enabling automated and deduplicated reporting on cross-channel ROI. This enterprise-level solution consolidates and integrates your advertising expenses, website and mobile app metrics, CRM data, and offline conversions into one cohesive platform for streamlined marketing ROI reporting. You can easily visualize your reports using your preferred business intelligence tools. By implementing SegmentStream's predictive attribution, you can gain insights into the true effectiveness of your marketing channels and campaigns in a post-cookie landscape. Instantly assess the real incremental impact of various marketing traffic sources without having to wait for a conversion event, even if that conversion occurs across different browsers or devices. This ensures that you are always informed and can make timely decisions based on accurate data.

Google Cloud CDN offers an efficient and dependable solution for delivering web and video content on a global scale. It utilizes global distribution via anycast IP, ensuring that edge caches are connected to nearly all major ISPs worldwide, thereby enhancing connectivity to a broader audience. By leveraging anycast architecture, your website benefits from a unified global IP address, which not only simplifies management but also guarantees consistent performance across the globe. The service is specifically optimized for last-mile efficiency, ensuring seamless delivery to end users. Furthermore, Google Cloud CDN is a perfect adjunct to Google Cloud’s high-performance private network, supporting advanced protocols like HTTP/2 and QUIC, which are designed to enhance site performance for mobile users and those in developing regions. Its seamless integration with Google Cloud enables comprehensive monitoring and logging capabilities. Cloud CDN provides immediate access to detailed latency metrics and raw HTTP request logs, facilitating in-depth analysis and insights. Additionally, these logs can be easily exported to Cloud Storage or BigQuery, making it simple to conduct further analysis with minimal effort. This comprehensive framework not only streamlines content delivery but also empowers organizations to make data-driven decisions based on user engagement.

The managed features of Cloud Composer, along with its compatibility with Apache Airflow, enable you to concentrate on crafting, scheduling, and overseeing your workflows rather than worrying about resource provisioning. Its seamless integration with various Google Cloud products such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform empowers users to orchestrate their data pipelines effectively. You can manage your workflows from a single orchestration tool, regardless of whether your pipeline operates on-premises, in multiple clouds, or entirely within Google Cloud. This solution simplifies your transition to the cloud and supports a hybrid data environment by allowing you to orchestrate workflows that span both on-premises setups and the public cloud. By creating workflows that interconnect data, processing, and services across different cloud platforms, you can establish a cohesive data ecosystem that enhances efficiency and collaboration. Additionally, this unified approach not only streamlines operations but also optimizes resource utilization across various environments.

Badger meticulously analyzes vast amounts of analytical data to produce automated insights that are practical for businesses. This machine learning software as a service (SaaS) conducts automatic evaluations of websites and seamlessly configures work with various analytical data sources, such as Google Analytics, Google PlayStore, and Search Console. It reveals how different attributes and events affect your key business metrics. The automated website assessments provide user stories based on your web and app analytics in just a few minutes. By leveraging machine learning models, it identifies and narrates the most crucial changes impacting your business. With its built-in models, you can efficiently process your analytics data through automated website analysis, significantly cutting down on the time spent on data collection and further analysis. Its open architecture allows for the integration of multiple web or app analytical sources without complicated configurations. This innovative product not only boosts operational efficiency but also enhances the potential for improved return on investment. Ultimately, embracing such technology can transform the way businesses interpret their analytics and drive strategic decisions.

Take control of your website's analytics with Umami, an open-source alternative that prioritizes user privacy over traditional tools like Google Analytics. This platform allows you to collect essential data while ensuring that your users' privacy is upheld at all times. Umami stands out by not gathering any personal data, avoiding the use of cookies, refraining from cross-site tracking, and maintaining compliance with GDPR regulations. By utilizing Umami, you can navigate the complexities of evolving data privacy laws with ease. All information gathered is anonymized, ensuring that individual users remain unidentifiable, giving you peace of mind regarding data security. The interface is user-friendly and straightforward, eliminating the need for complex reporting processes. With Umami, you will only track the metrics that truly matter to you, all conveniently displayed on a single page. This tool is committed to open-source principles, so you can trust in its transparency and community support. Additionally, you can enjoy the benefit of not having to show intrusive cookie consent notices to your visitors. Embrace the power of analytics while maintaining a strong commitment to user privacy.

Prodlytic offers a robust on-premise solution for behavioral analytics that automatically captures and preserves all event-level data from your website and web application. By continuously exporting this data to your preferred storage and analysis platforms, you can gain profound insights into customer interactions. With its auto-track feature, you can better understand your audience and enhance your product offerings without needing to manage complex tracking systems. Simply integrate our lightweight tracking code into your website or app once, and it will automatically monitor all customer interactions without the need for additional coding, even for new events. Prodlytic provides a comprehensive overview of user engagement metrics including clicks, page views, and form submissions, enabling you to make well-informed business choices. You have complete ownership of the data collected through Prodlytic, allowing you to seamlessly export it to familiar storage solutions like Amazon S3 and Google BigQuery for further analysis. This level of control empowers organizations to tailor their insights to their unique needs and strategic goals.

Effortlessly import marketing data into your preferred data warehouse or cloud storage solution, including BigQuery, Snowflake, Redshift, Azure SQL, AWS S3, Azure Data Lake, and Google Cloud Storage, through our fully-managed ETL pipelines hosted in the cloud. Our comprehensive marketing data warehouse consolidates all your marketing information and delivers valuable insights, such as advertising performance, cross-channel attribution, content analysis, competitor intelligence, and much more. Additionally, our customer data platform facilitates real-time identity resolution across various data sources, providing a cohesive view of the customer and their journey. Electrik.AI serves as a cloud-driven marketing analytics software and an all-encompassing service platform designed to optimize your marketing efforts. Moreover, Electrik.AI’s Google Analytics Hit Data Extractor is capable of enhancing and retrieving the un-sampled hit-level data transmitted to Google Analytics from your website or application, routinely transferring it to your specified destination database, data warehouse, or data lake for further analysis. This ensures you have access to the most accurate and actionable data to drive your marketing strategies effectively.