Business Software for Google Cloud BigQuery

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.

Gemini Enterprise Agent Platform Notebooks offer an integrated solution for managing the full lifecycle of data science and machine learning projects. By combining Colab Enterprise and Agent Platform Workbench, the platform delivers both ease of use and advanced customization capabilities. Users can seamlessly explore data, write code, and train models within a single environment connected to Google Cloud services like BigQuery and Spark. The notebooks support rapid experimentation through scalable compute resources and AI-powered coding tools that reduce repetitive tasks. Teams can transition smoothly from prototyping to production with built-in workflows for training and deployment. The fully managed infrastructure eliminates the need for manual setup while optimizing performance and cost efficiency. Enterprise security features, including authentication and access management, ensure safe handling of sensitive data. Integration with MLOps tools allows for continuous training, deployment, and monitoring of models. Visualization and data catalog tools provide deeper insights and easier data exploration. The platform enhances collaboration by enabling sharing and reporting through notebook outputs. Overall, it empowers organizations to accelerate AI development while maintaining control, scalability, and security.

Numerics is an innovative dashboard application that allows users to create tailored dashboards that reflect their specific business KPIs and metrics. By using Numerics, you can enhance your decision-making process, as it keeps your key figures readily accessible. The app offers an extensive range of pre-made KPI templates, enabling you to quickly design personalized dashboards that suit your needs. With a simple drag-and-drop interface, you can easily arrange widgets to achieve your desired dashboard layout. Specifically crafted for the iPad and iPad Pro, Numerics delivers a comprehensive and visually engaging dashboard experience, allowing you to see the full scope of your data at a glance. You can build dashboards that summarize various aspects of your operations, such as website analytics, social media interactions, project developments, sales processes, customer service metrics, financial accounts, or any other personal or professional KPI, all using its dynamic visualization tools. This flexibility ensures that you can effectively track performance and make informed decisions based on the data that matters most to you.

INCRMNTAL is an always-on incrementality measurement platform that reveals the true impact of your ad spend - without cookies, device IDs, or planned experiments. Powered by causal AI and reinforcement learning, INCRMNTAL analyzes marketing performance across Mobile, Web, TV & CTV, Influencers, OOH & DOOH, Audio, and Podcasts to answer the question every marketer should be asking: "What would have happened if I hadn't spent that money?" The platform delivers actionable, privacy-first insights continuously — no control groups, no holdouts, no waiting. Just real incrementality data that helps Advertisers optimize budgets, cut waste, and prove the value of every dollar spent. Trusted by leading brands including Paramount, Supercell, DraftKings, Binance, eToro, Funko, and LYFT, INCRMNTAL helps marketing teams move beyond vanity metrics and last-click attribution to understand what's actually driving growth. Whether you're scaling user acquisition, evaluating a new channel, or justifying CTV spend to your CFO - INCRMNTAL gives you the evidence to make smarter decisions. Unlike traditional MMM solutions that require months of setup and deliver stale quarterly reports, INCRMNTAL works in near real-time with minimal integration effort. Connect your data, and the platform starts surfacing incremental insights automatically - identifying diminishing returns, cannibalization between channels, and opportunities to reallocate spend for maximum impact. If you're tired of guessing which half of your advertising is working, INCRMNTAL replaces gut feelings with causal proof.

Implement production-ready change data capture (CDC) systems for high-volume, real-time data replication effortlessly, without writing any code. Experience an enhanced Change Data Capture process with Arcion, which provides automatic schema conversion, comprehensive data replication, and various deployment options. Benefit from Arcion's zero data loss architecture that ensures reliable end-to-end data consistency alongside integrated checkpointing, all without requiring any custom coding. Overcome scalability and performance challenges with a robust, distributed architecture that enables data replication at speeds ten times faster. Minimize DevOps workload through Arcion Cloud, the only fully-managed CDC solution available, featuring autoscaling, high availability, and an intuitive monitoring console. Streamline and standardize your data pipeline architecture while facilitating seamless, zero-downtime migration of workloads from on-premises systems to the cloud. This innovative approach not only enhances efficiency but also significantly reduces the complexity of managing data replication processes.

Superblocks is an enterprise platform designed to build and govern AI-generated applications using company data. It enables business teams to create production-ready apps without deep technical expertise. The platform integrates with major data systems such as Snowflake, Databricks, AWS, Google Cloud, and Azure. IT teams maintain centralized control over authentication, permissions, integrations, and auditing. Superblocks acts as a secure integration layer, ensuring apps do not directly access sensitive systems. It provides real-time monitoring of app usage, permissions, and potential vulnerabilities. The platform also enforces policies for security, compliance, and code standards across all applications. Users can deploy apps in cloud, hybrid, or private VPC environments based on security needs. Superblocks helps organizations replace legacy systems and accelerate internal tool development. Overall, it enables scalable, secure, and governed AI app creation across enterprise teams.

Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.

Connect seamlessly to your current databases and warehouses without needing to duplicate data or develop new data models. Explo is compatible with all relational databases and warehouses, ensuring broad applicability. Our style configurator allows you to customize your dashboard to match your application's design, including options for fonts, borders, shadows, and more. Additionally, Explo features templated row-level permissions, enabling team 1 to access only their own data while team 2 can view theirs. With versioned Explo dashboards, collaboration among teammates is enhanced, allowing them to save iterations and deploy to the appropriate environments. You can also implement validation and set restrictions on corresponding text inputs. There's an option to rename the first column header in both tables and pivot tables, further increasing usability. Creating customized dashboards and reports for your clients has never been more straightforward. Discover how Explo can benefit your team and transform your data visualizations. Notably, e-commerce and retail platforms are equipping their users with tools to not only meet but surpass their sales targets through tailored branding and actionable insights.

Manticore Search, launched in 2017, is an open-source database that evolved from the Sphinx Search engine. We incorporated its best features while enhancing functionality, resolving hundreds of issues, and nearly rewriting the entire codebase, all while maintaining our commitment to open-source principles. This extensive development has resulted in Manticore Search being a modern, efficient, lightweight, and versatile database that excels in full-text search capabilities. In our view, simplifying technology usage should be a top priority for any vendor today. We aim for all our users, whether they are developers or DevOps professionals, to avoid needing extensive expertise in databases or search engines, allowing them to leverage Manticore products without requiring advanced degrees. We understand that your time is valuable, and we want to spare you the frustration of lengthy trials to comprehend the impact of various settings on functionalities. Therefore, Manticore Search is designed to perform effectively with its default configurations in most scenarios, ensuring a smooth experience right from the start.

We are entering a new phase in the evolution of data-driven business scaling. In recent years, organizations have focused on gathering essential data and insights within their data warehouses to enhance Business Intelligence (BI) and Data Science capabilities. Leading companies in the Modern Data Stack movement are beginning to implement Reverse ETL processes that allow them to channel this data back into Marketing, Sales, and Support tools, thereby enhancing the effectiveness of these teams. Grouparoo facilitates this scaling process by simplifying integrations, making it accessible for companies to harness their data efficiently. Additionally, being an open-source solution, Grouparoo emphasizes flexibility and privacy, ensuring that users can tailor the platform to their specific needs. The foundation of Grouparoo is built on code, enabling seamless integration into your existing tech stack; you can develop locally, push your updates, and deploy effortlessly. Furthermore, its user-friendly web-based interface simplifies the generation of configuration files, accommodating even the most intricate schemas with ease. This adaptability positions Grouparoo as a key player in the modern data landscape.

Open up your data warehouse and execute SQL queries to synchronize the outcomes with the applications your team utilizes. Establish connections with databases such as Postgres, MySQL, Snowflake, Redshift, and SQL Server. Transfer data to platforms where your team operates, including Google Sheets, Excel, Slack, and email. You can also set your queries to execute at intervals of every hour, day, week, or even every five minutes, ensuring that your data remains consistently current. Collaborate with your peers by sharing, tagging, and exploring code created by team members, which prevents the need to rewrite code that has already been optimized by others. Use Snippets to share compact, reusable SQL components with your team, which can be particularly useful for automating tasks like date formatting or defining metrics. Additionally, imagine receiving an up-to-date Wall Street Journal article relevant to your company, seamlessly refreshed and sent to your inbox each day, keeping you informed without any extra effort. This streamlined process not only enhances productivity but also fosters collaboration and knowledge sharing among team members.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Lightdash transforms your dbt project into a comprehensive business intelligence platform in no time. Analysts are empowered to define metrics, enabling self-service analytics for the entire organization. Since all fields in Lightdash are derived from your dbt project, maintaining your business logic in a centralized location becomes seamless. The Lightdash CLI can be utilized alongside your preferred text editor to test, preview, and save your modifications effortlessly. Just a few clicks allow you to generate stunning charts from the data integrated into your Lightdash project. Everything in Lightdash is managed as code, enhancing both productivity and governance in your BI operations. You can create impactful charts and dashboards to communicate essential metrics with your team effectively. Contextual information significantly enhances understanding! With SQL capabilities for experts and an intuitive interface for everyone else, Lightdash ensures that all team members can participate in analytics. The platform also supports project-based roles and permissions, facilitating easy collaboration among your team members. Additionally, it is designed for self-hosting with no limits on usage, making it a versatile choice for any business.

Discover how to enhance sales growth effortlessly by utilizing automated data pipelines that connect seamlessly to data lakes or cloud storage solutions without the need for coding. This adaptable platform adheres to industry standards, enabling the integration of sales and marketing data to generate automated insights for more intelligent expansion. Eliminate the hassle and costs associated with cumbersome manual data downloads. You’ll always have a clear understanding of your expenses, only paying for the services you actually use. Empower your tools with rapid access to data that is ready for analytics. Our certified developers prioritize security by exclusively working with official APIs. You can quickly initiate data pipelines sourced from widely-used platforms. With pre-built, pre-transformed pipelines at your disposal, you can unlock crucial data from sources like Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and more. The processes for data ingestion and transformation require no coding, allowing teams to swiftly and affordably harness the full potential of their data. Your information is consistently safeguarded and securely stored in a reliable, customer-controlled data destination such as Databricks or Amazon Redshift, ensuring peace of mind as you manage your data assets. This streamlined approach not only saves time but also enhances overall operational efficiency.

Google Cloud Lakehouse is a modern data storage and management solution that combines the capabilities of data warehouses and data lakes into a unified platform. It enables organizations to store, access, and analyze data in open formats like Apache Iceberg, Parquet, and ORC without duplication. By maintaining a single source of truth, the platform eliminates the need for complex data movement and reduces operational overhead. It offers fine-grained security controls, allowing organizations to manage access and governance policies effectively. The Lakehouse runtime catalog provides centralized metadata management and simplifies resource organization. The platform supports scalable analytics and integrates seamlessly with tools like Apache Spark for advanced data processing. It is designed to handle large-scale data workloads while maintaining high performance and reliability. Built-in best practices and guides help users optimize their data architecture. It also supports replication and disaster recovery for enhanced resilience. Overall, Google Cloud Lakehouse provides a flexible and efficient way to unify and analyze enterprise data.

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.

Harness the synergy of automation paired with a personal touch to achieve comprehensive oversight of your data and gain insight into your operations. With Coupler.io, you can seamlessly access, comprehend, and act upon your data through a robust suite of tools and specialized services. Our offerings range from tailored integrations and insightful dashboards to streamlined workflows that enhance and automate everyday tasks, ensuring our data experts tailor solutions specifically for your business's growth. Coupler.io is meticulously crafted to meet all your data-related requirements, offering everything from dependable data automation solutions to exceptional data analytics services. With nearly 15 years of expertise in SaaS, workflow automation, and data analytics, Coupler.io stands as a trusted ally for your organization's success and progress. In an increasingly data-driven world, having the right partner can make all the difference in achieving your business objectives.

Agent Platform Vision is a comprehensive computer vision solution from Google Cloud that enables developers to create and deploy vision-based applications on a single platform. It offers structured documentation, quickstarts, and tutorials to help users build applications such as face blur systems, occupancy tracking, and analytics tools. The platform supports real-time data ingestion and processing, making it suitable for streaming and large-scale visual data use cases. Developers can leverage APIs and SDKs to integrate advanced image and video analysis capabilities into their workflows. It simplifies the setup process by providing guided steps for project configuration and environment preparation. The platform also incorporates responsible AI and inclusive machine learning principles to ensure ethical and fair use of technology. With scalable infrastructure and cloud-based tools, users can efficiently manage and deploy applications. Integration with other Google Cloud services enhances its flexibility and performance. Detailed references and resources help troubleshoot and optimize applications. Overall, it empowers organizations to harness visual data for smarter decision-making and operational efficiency.

Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.

Latitude is a comprehensive platform for prompt engineering, helping product teams design, test, and optimize AI prompts for large language models (LLMs). It provides a suite of tools for importing, refining, and evaluating prompts using real-time data and synthetic datasets. The platform integrates with production environments to allow seamless deployment of new prompts, with advanced features like automatic prompt refinement and dataset management. Latitude’s ability to handle evaluations and provide observability makes it a key tool for organizations seeking to improve AI performance and operational efficiency.

Effortless, effective, and budget-friendly. Create SQL queries effortlessly without any prior experience by using simple language. Just log in and express your needs in everyday terms, and the AI Bot will generate the SQL query you want. No coding skills or SQL expertise are necessary. Begin your free trial to discover how straightforward it is to produce the SQL you require with the help of AI. The AI Bot is designed to understand various languages, including English, Spanish, German, and several others. It automatically correlates your input with the database schema, setting it apart from other tools by incorporating schema context directly into your SQL queries. This guarantees that the SQL produced is both accurate and free from errors while remaining extremely user-friendly. You can save the generated SQL queries as snippets for future use, with options for private or team sharing. With just one click, you can connect to your database and execute the SQL query crafted by AI, making data management seamless and efficient. Additionally, you can customize your snippets to better fit your workflow or project needs.

Effortlessly create and manage ETL pipelines using Boltic, allowing you to extract, transform, and load data from various sources to any target without needing to write any code. With advanced transformation capabilities, you can build comprehensive data pipelines that prepare your data for analytics. By integrating with over 100 pre-existing integrations, you can seamlessly combine different data sources in just a few clicks within a cloud environment. Boltic also offers a No-code transformation feature alongside a Script Engine for those who prefer to develop custom scripts for data exploration and cleaning. Collaborate with your team to tackle organization-wide challenges more efficiently on a secure cloud platform dedicated to data operations. Additionally, you can automate the scheduling of ETL pipelines to run at set intervals, simplifying the processes of importing, cleaning, transforming, storing, and sharing data. Utilize AI and ML to monitor and analyze crucial business metrics, enabling you to gain valuable insights while staying alert to any potential issues or opportunities that may arise. This comprehensive solution not only enhances data management but also fosters collaboration and informed decision-making across your organization.

Akira.ai offers organizations a suite of Agentic AI, which comprises tailored AI agents aimed at refining and automating intricate workflows across multiple sectors. These agents work alongside human teams to improve productivity, facilitate prompt decision-making, and handle monotonous tasks, including data analysis, HR operations, and incident management. The platform is designed to seamlessly integrate with current systems such as CRMs and ERPs, enabling a smooth shift to AI-driven processes without disruption. By implementing Akira’s AI agents, businesses can enhance their operational efficiency, accelerate decision-making, and foster innovation in industries such as finance, IT, and manufacturing. Ultimately, this collaboration between AI and human teams paves the way for significant advancements in productivity and operational excellence.

Connected to your business information, Rows makes it a pleasure to collaborate and share insights. Teams can work seamlessly with numbers and present their findings through a familiar interface. Enjoy the comfort of using formulas, shortcuts, and features that enhance the spreadsheet experience. Design stunning reports that integrate beautifully into your spreadsheets, allowing you to narrate compelling stories through data. With an intuitive guided wizard, even those who aren't spreadsheet experts can easily navigate formulas. Transform your spreadsheets into interactive tools with buttons, input fields, and date pickers. Leverage the capabilities of advanced AI to generate data lists, respond to inquiries, categorize customer feedback, translate languages, and tackle virtually any other task you can envision. Rows stands as a modern solution for managing spreadsheets, whether for professional endeavors, personal projects, or general use. Collaborate in real-time when additional assistance is needed, or allow your team the flexibility to engage with the content you’ve developed at their convenience. This dynamic platform ensures that everyone can contribute effectively, enhancing productivity and creativity.