Business Software for Google Cloud BigQuery

JFrog ML (formerly Qwak) is a comprehensive MLOps platform that provides end-to-end management for building, training, and deploying AI models. The platform supports large-scale AI applications, including LLMs, and offers capabilities like automatic model retraining, real-time performance monitoring, and scalable deployment options. It also provides a centralized feature store for managing the entire feature lifecycle, as well as tools for ingesting, processing, and transforming data from multiple sources. JFrog ML is built to enable fast experimentation, collaboration, and deployment across various AI and ML use cases, making it an ideal platform for organizations looking to streamline their AI workflows.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

Utilize Pipes to query and manipulate your data seamlessly, a novel method for linking SQL queries that draws inspiration from Python Notebooks. This approach aims to streamline complexity while maintaining optimal performance. By dividing your query into various nodes, you enhance both development and maintenance processes. With just a single click, you can activate your API endpoints that are ready for production use. Transformations happen instantly, ensuring you always have access to the most current data. You can securely share access to your data with just one click, providing quick and reliable results. In addition to offering monitoring capabilities, Tinybird is designed to scale effortlessly, so you need not be concerned about unexpected traffic surges. Visualize transforming any Data Stream or CSV file into a fully secured real-time analytics API endpoint in mere minutes. We advocate for high-frequency decision-making across every sector, including retail, manufacturing, telecommunications, government, advertising, entertainment, healthcare, and financial services, making data-driven insights accessible to all types of organizations. Our commitment is to empower businesses to make informed decisions swiftly, ensuring they stay ahead in an ever-evolving landscape.

Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits. Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in. Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic. With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users. Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support. Discover the future of customer analytics at kubit.ai

Dataplane's goal is to make it faster and easier to create a data mesh. It has robust data pipelines and automated workflows that can be used by businesses and teams of any size. Dataplane is more user-friendly and places a greater emphasis on performance, security, resilience, and scaling.

Control Plane is the platform for running unbreakable apps and agents. It combines any cloud, neocloud, and bare metal, including AWS, Google Cloud, Azure, and your own Kubernetes clusters, into one Global Virtual Cloud. Every workload runs active-active across the locations you choose, and a global endpoint sends each request to the nearest healthy location, so a zone, region, or provider outage does not take your service down. It runs serverless, standard, stateful, cron, and VM workloads with no application changes. Workloads reach 600+ AWS, GCP, and Azure services through Universal Cloud Identity, with no long-lived cloud keys in code, and Cloud Wormhole connects them to private VPCs and data centers. Autoscaling, observability, mutual TLS, secrets, and an audit trail are built in, with no Kubernetes cluster to operate. Customers typically cut compute costs 30 to 50 percent compared with running directly on AWS, GCP, or Azure.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

In the ever-evolving world of eCommerce, Luz empowers you to make decisions backed by data that foster substantial growth. Unlike any other platform, it consolidates all the essential DTC tools into a single hub. You can uncover profound insights about your customers, business, and competitors, positioning yourself for large-scale success. Our dedicated data engineers continuously gather, cleanse, and verify the information we track, ensuring that you receive reliable and actionable insights. Designed with user-friendliness at its core, our platform enables you to grasp and act upon valuable insights from your very first login. Say goodbye to the necessity of a dedicated data science team; Luz delivers customized, actionable insights to steer you and your team toward your goals. When data is easily accessible, it catalyzes innovation, leads to superior products, and enhances the experiences of individuals throughout the eCommerce landscape. Accessible data benefits everyone involved, paving the way for collaboration and shared growth strategies. Prepare to share your competitive landscape and roadmap for expansion.

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.