Business Software for Google Cloud BigQuery

Redpanda is a high-performance data streaming platform purpose-built for running AI agents securely across enterprise data ecosystems. Its Agentic Data Plane provides centralized access, governance, and observability for agents operating on real-time and historical data. Redpanda connects hundreds of data sources across on-prem, VPC, and cloud environments into a unified plane. A single SQL query layer allows agents to analyze data in motion and at rest without switching tools. Built-in identity, authorization, and policy controls govern every agent action before it happens. Every interaction is captured in immutable audit logs that can be replayed end to end. Redpanda integrates with open standards like Kafka, Iceberg, SQL, MCP, and A2A, avoiding lock-in. Designed for speed and safety, it enables enterprises to deploy AI agents with confidence. The result is a scalable, governed foundation for autonomous and multi-agent systems.

Strategy Mosaic serves as an AI-driven universal semantic data layer and analytics framework that integrates seamlessly with an organization's current data ecosystems, enabling the unification, regulation, and expedited access to business data for analytics, AI, and reporting without the need for expensive restructuring. This platform establishes a single source of truth, ensuring consistent business definitions, metrics, and security policies are maintained across various tools and data sources, thereby aligning data from numerous systems to provide reliable and comparable insights universally. With its AI-assisted data modeling feature, known as Mosaic Studio, the platform automates essential processes such as data preparation, cleansing, enrichment, and modeling, thereby significantly reducing the time and effort required to create robust data products and semantic models. Users benefit from universal connectors that facilitate access to governed data through SQL, REST, Python, or popular business intelligence and productivity applications like Power BI, Tableau, Excel, and Google Sheets. Additionally, an in-memory acceleration engine ensures rapid query performance across a wide array of data sources, enhancing the overall efficiency of data retrieval and analysis processes. This comprehensive approach empowers organizations to make data-driven decisions with confidence and speed.

Simon AI is a marketing platform driven by artificial intelligence, aimed at assisting organizations in leveraging customer data to effortlessly initiate personalized campaigns across various digital platforms. By merging a flexible customer data system with self-sufficient AI agents, it assesses customer behaviors, contextual cues, and business metrics to develop precisely tailored marketing experiences. Rather than having marketing teams manually sort through audience segments or execute intricate queries, Simon AI empowers marketers to establish business objectives, like boosting conversions, reducing churn, or encouraging repeat purchases, while its AI agents take care of data organization, insight extraction, and campaign implementation. Furthermore, it incorporates a variety of information, including customer interactions, transaction history, and contextual variables such as browsing habits, inventory status, weather fluctuations, and social media activity, to facilitate timely and pertinent marketing responses. This innovative approach not only streamlines marketing efforts but also enhances the relevance of customer interactions, ultimately leading to improved business outcomes.

Drivepoint is a smart finance platform tailored for consumer and CPG brands, utilizing data and AI to streamline forecasting, scenario planning, and financial analysis. By replacing traditional spreadsheet workflows, it integrates data from various sources like wholesale, Amazon, direct-to-consumer, and retail, which allows teams to create precise financial models and forecasts much more quickly. The platform enhances core forecasting tasks with AI-driven insights, enabling users to accurately predict comprehensive financial statements, including profit and loss, balance sheets, and cash flow. Additionally, it facilitates swift scenario planning, empowering users to generate and compare numerous business scenarios within seconds, thereby assisting teams in evaluating the financial ramifications of their decisions without the need for cumbersome manual modeling. Ultimately, Drivepoint revolutionizes the financial planning landscape for brands, ensuring they can respond to market changes more effectively and efficiently.

Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.

Actian AI Analyst serves as a conversational analytics platform that is context-aware, aimed at empowering organizations to derive reliable insights from their data through natural language interactions. By enabling business users to pose inquiries without the need for SQL, it revolutionizes conventional dashboards into dynamic, ongoing dialogues with data. Before any analysis is performed, it functions on a governed semantic layer that encapsulates business metrics, relationships, and definitions, thereby ensuring that each query aligns with the organization's operational framework. This semantic layer is generated and upheld by the Steward AI agent, which persistently tracks data definitions and their interconnections, offering actionable plans for maintaining accuracy over time. Additionally, AI Analyst retains the conversational context in follow-up questions, facilitating a more profound investigation while ensuring that results remain consistent with established business logic. Its intuitive design fosters a seamless user experience, making data interactions more accessible and insightful for all business users.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

SAS Studio offers a programming environment accessible through web browsers, making it simpler and quicker to write and engage with SAS code from any location. This platform is designed to enhance teamwork by facilitating the creation of effective data pipelines, promoting effortless collaboration, minimizing the need for extensive coding, and allowing for open-source integration. It interfaces with prominent cloud data services like AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, in addition to various relational and non-relational databases such as Oracle, Snowflake, Teradata, SingleStore, and MongoDB. Furthermore, SAS Studio is compatible with multiple file formats, including Excel, text, Parquet, and ORC. Users have the flexibility to work with a no-code, low-code, or traditional coding approach, enabling them to construct comprehensive data pipelines through drag-and-drop operations, create Python and SAS code within SAS Studio or other IDEs, and integrate these components into SAS Studio workflows for secure and centralized data access. Additionally, SAS Studio accommodates both ELT and ETL methodologies, ensuring versatility in data handling. This adaptability makes SAS Studio a valuable tool for data professionals aiming to streamline their analytics processes.

Intellistack Streamline is an AI-powered workflow automation platform that helps organizations modernize outdated business processes while maintaining high standards of data security. The platform combines workflow automation, document generation, contract lifecycle management, eSignature capabilities, and system integrations into a single no-code environment. Organizations can connect business systems, databases, healthcare platforms, CRMs, and collaboration tools to automate workflows and eliminate manual data entry. Intellistack Streamline is built with a data-safety-first approach, ensuring that security and compliance remain foundational components of every workflow. The platform supports industries such as healthcare, higher education, finance, legal services, human resources, and operations where secure information handling is critical. Users can create digital forms, automate approvals, manage referrals, coordinate onboarding processes, track applications, and streamline contract management without relying on extensive technical resources. Its contract lifecycle management capabilities include document generation, redlining, AI-guided playbooks, status tracking, and workflow automation. The platform also helps organizations reduce software sprawl by consolidating multiple vendors and disconnected applications into a unified solution. Intellistack Streamline enables teams to improve productivity, reduce operational risk, enhance data governance, and create more efficient business processes.

Enzy serves as a dynamic performance operating system designed to empower sales teams by transforming live business intelligence into coordinated actions, enhanced engagement, and a culture of high performance. It integrates seamlessly with current CRM systems and data sources, consolidating team activities into a single real-time feed that displays results, objectives, progress, and communication all in one accessible location. With Enzy AI, managers can pose straightforward questions regarding connected data, pinpoint team members who are either falling behind or excelling, identify potential revenue leaks, and receive timely recommendations for next steps. Instead of merely presenting historical data, it highlights important signals early on and translates raw activities into actionable coaching, competitions, incentives, and suggested strategies rooted in actual sales performance. The presence of live leaderboards ensures that performance remains a focal point, while individual profiles compile each representative's achievements and progress, fostering a sense of recognition. Additionally, goal tracking monitors pacing, allowing teams to evaluate if their current efforts are sufficient to meet targets, promoting an environment of accountability and continuous improvement. Ultimately, Enzy enables sales teams to harness their data effectively, driving productivity and ensuring everyone is aligned with their collective objectives.

Formal serves as a reverse proxy that is aware of protocols, enhancing security measures for databases, APIs, infrastructure, and AI tools by implementing least privilege principles at the wire-protocol layer. This tool is deployed as a singular stateless binary within a Virtual Private Cloud (VPC) using platforms like Terraform, Kubernetes, or Docker, effectively positioning itself between users and resources without necessitating alterations to applications, SDKs, or agents. Formal supports the analysis of over 15 distinct protocols, such as PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, which empowers it to make decisions based on specific queries rather than relying solely on broad network filtering. Furthermore, its policies can oversee user authentication and authorization, mask or filter data fields, modify requests, prohibit certain actions, mandate multi-factor authentication, isolate sessions, revoke access, or enable impersonation throughout the stages of session, request, and response. Additionally, teams have the capability to protect AI agents and MCP servers by eliminating personally identifiable information before it is processed by a model, preventing unauthorized calls to tools, and meticulously auditing each action taken. This comprehensive approach not only enhances security but also ensures compliance with data protection regulations.

Intellrise serves as an AI-driven data analyst tailored for individuals and small teams, enabling users to connect a variety of data sources, including PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Snowflake, Databricks, Google Sheets, CSV, and Excel. Users can pose inquiries in straightforward English, while the platform generates and displays the corresponding SQL for review and modification prior to execution, ultimately providing visual outputs such as charts, dashboards, and reports that can be easily exported in formats like PDF, Excel, PowerPoint, Word, or CSV. Notably, a single inquiry can leverage multiple connected data sources, enhancing the analytical capabilities. Intellrise operates on a bring-your-own-key model for API access, allowing users to connect their own keys from Google Gemini, OpenAI, or Anthropic, which means they retain control over model selection and associated costs; however, it is essential to acquire an AI key beforehand, as no built-in model is provided. The service offers a free tier, with all new accounts commencing a 14-day Pro trial that requires no credit card information, while the Pro subscription is available at $29 per month or $24 per month with annual billing. Currently, the Pro plan is limited to single users, as shared team workspaces have yet to be implemented, but future updates may include collaborative features.

Fraoula Data Auditor serves as a comprehensive tool for assessing data quality and auditing schemas, tailored for data engineering, analytics, governance, and compliance teams. It meticulously examines data structures and sample records to detect issues like schema drift, discrepancies in field types, excessive null rates, unusual values, and violations of established rules, ultimately compiling these insights into a risk report that includes recommended corrective measures. This product is beneficial for evaluating data pipelines that supply data to warehouses, analytics platforms, risk management systems, or AI applications, particularly in sectors such as finance and healthcare. Users can choose from various workflows, including a quick browser-based evaluation or more extensive audits, with options for both cloud-hosted and self-hosted deployments. The insights generated equip teams to recognize potential data risks and strategize remediation efforts before the data is utilized downstream, thus enhancing overall data integrity and reliability. By proactively addressing these issues, organizations can ensure that their data remains accurate and trustworthy for all critical applications.

Covasant SERAA serves as the Agentic Enterprise Intelligence Platform developed by Covasant Technologies, designed to assist large organizations in analyzing their existing data while managing accountable AI agents. With this platform, leadership can monitor each agent's actions and understand the rationale and costs behind them. The platform operates as a cohesive loop, where SERAA Pulze detects information that may not have been previously captured by your systems. Meanwhile, SERAA Axon assesses this information against your existing data, and SERAA Synapse retains knowledge of successful strategies, while SERAA Cortex deploys actions through regulated agents. A unified governance framework oversees all four components, although each element can function independently. Additionally, users have the option to deploy the system in either Covasant-managed cloud environments or in dedicated sovereign virtual private cloud setups. This flexibility ensures that organizations can tailor their deployment to meet specific operational needs.

SERAA Axon serves as a sophisticated platform for enterprise decision intelligence and data reasoning, facilitating the governed use of organizational data. By allowing users to pose questions in natural language, it enables the execution of agent-led workflows that seamlessly integrate structured records and documents, leveraging SQL, vector search, and graph relationships within a unified reasoning framework. Administrators have the capability to establish and verify business rules while benefiting from the platform's features for data quality assessment, master data management, and the generation of Golden Records. The platform’s advanced contract and document intelligence functionalities are adept at scanning extensive collections to highlight obligations and pertinent information. Furthermore, SERAA Axon is compatible with various enterprise systems and data sources, equipped with pre-built connectors for platforms like SAP and Salesforce, making it an asset that complements rather than replaces existing data infrastructures. It offers deployment flexibility, allowing installation on a customer's cloud tenant or on-premises, ensuring that data processing remains securely within the designated infrastructure boundaries. Overall, SERAA Axon empowers enterprises to make informed decisions while maintaining data governance and integrity.

Kapiche is an analytics and insights product that makes sense of customer feedback data. It empowers you to make better decisions and positively impact your bottom line. Combine multiple data sources to quickly analyze 1000s of customer feedback responses. No setup, no manual coding, no code frames. Discover insights in minutes and not weeks. You can have complete confidence in your analysis. Answer business questions quickly with deep, actionable insights from all customer data sources. It takes only minutes, not weeks. Your insights analysts will provide insight to help ensure buy-in for your CX programs throughout the organization and drive customer-centric, impactful change. It is impossible to make the most effective business decisions using only quantitative customer information. The best insights come from combining qualitative and quantitative data at every stage of the customer journey.

Pendo is a product-experience platform that helps software product managers deliver products that users love. Pendo allows product teams to answer questions such as "What features are customers using?" What features are they overlooking? Which ones are driving delight, and which are causing pain or confusion? These same insights allow you to quickly set up in-app messages and guides, as well as walkthroughs, without needing any programming. This will help users get the most out of your products. Pendo allows you to quickly identify the features and workflows that cause users pain and pleasure. You can then use the platform to guide users through these rough spots and encourage them to adopt the features that make them raving fans.

Decision intelligence aims to empower employees with the ability to make faster, more informed decisions that will allow them to take corrective steps, capitalize on opportunities, and drive innovation. The data and analytics platform that is purpose-built to help enterprises make better, faster decisions. A new type of engine drives it. Streamlining the entire analysis workflow. One platform for all data, any person, and any analytics needs. This is the future for intelligent decisions. This new platform combines data preparation, data science, and business analytics into one integrated platform. Streamline all aspects of decision-making. Everything from discovery to publishing to modeling is interconnected (and easy-to-use). It can be run at hyper-scale to support any data-driven decision. Advanced data science is available for all business needs, from the C-Suite to frontline.

The Customer Success and actionable data platform leverages technology to foster reliable relationships between your organization and its clientele. By employing sophisticated methods to analyze extensive data sets, we create a distinct perspective of the customer experience, generating insights that enable your business to act with greater proactivity and precision. Recognizing the unique aspects of each company, SenseScore is fully tailored to your specific circumstances and business requirements. We assess key indicators to gauge your customers' wellbeing, allowing you to foresee potential risks and uncover opportunities for growth. The SenseData platform seamlessly integrates with your existing digital tools and data sources. Utilizing our proprietary API, SenseConnect, we facilitate connections with over 70 applications, as well as databases and spreadsheets, in a swift and secure manner. This ensures you have access to all pertinent information that is crucial for your business. Our dedicated team of experts is available to assist you in navigating any challenges you face with data management, ensuring that you fully harness the potential of your data resources. Ultimately, we aim to empower your organization to make informed decisions based on reliable insights.

Soda helps you manage your data operations by identifying issues and alerting the right people. No data, or people, are ever left behind with automated and self-serve monitoring capabilities. You can quickly get ahead of data issues by providing full observability across all your data workloads. Data teams can discover data issues that automation won't. Self-service capabilities provide the wide coverage data monitoring requires. Alert the right people at just the right time to help business teams diagnose, prioritize, fix, and resolve data problems. Your data will never leave your private cloud with Soda. Soda monitors your data at source and stores only metadata in your cloud.

Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.

Monad serves as a comprehensive security data cloud platform that simplifies the processes of extracting, transforming, and loading (ETL) data from a variety of security tools into a cohesive data warehouse. This platform empowers security teams to efficiently export data from their existing tools, customize it into tailored data models, and seamlessly deliver it to their data warehouses, thereby enabling smooth integration and deeper analysis. Additionally, it provides capabilities for security, DevOps, and cloud engineering teams to engage with data using SQL and business intelligence tools, which improves their effectiveness in normalizing, transforming, and enriching data to enhance security and compliance results. With its intuitive interface and robust enterprise-grade connectors, Monad makes it easy to establish a security data lake, assisting organizations in breaking down data silos and gaining valuable insights and analytics that contribute to effective security management. The ability to unify disparate data sources fosters a more holistic view of security metrics, ultimately leading to more informed decision-making and proactive risk management.

Radicalbit Natural Analytics (RNA) serves as a comprehensive DataOps platform designed for the integration of streaming data and the execution of real-time advanced analytics. It simplifies the process of delivering data to the appropriate users at the optimal time. RNA empowers its users with cutting-edge technologies in a self-service format for instantaneous data processing, leveraging Artificial Intelligence to derive meaningful insights from the data. This platform streamlines the traditionally labor-intensive data analysis process and presents critical findings in clear, accessible formats. Users can maintain real-time situational awareness, allowing for swift and effective responses to emerging situations. By promoting efficiency and optimization, RNA fosters collaboration among previously isolated teams. It offers a centralized dashboard for managing and monitoring models, enabling users to deploy their evolving models in mere seconds, all without experiencing any downtime. Additionally, the platform ensures that teams can stay agile and responsive in a fast-paced data environment.

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.

Singer outlines the interaction between data extraction scripts, known as "taps," and data loading scripts referred to as "targets," facilitating their use in various combinations for transferring data from multiple sources to diverse destinations. This enables seamless data movement across databases, web APIs, files, queues, and virtually any other medium imaginable. The simplicity of Singer taps and targets is evident as they are designed as straightforward applications that utilize pipes—eliminating the need for complex daemons or plugins. Communication between Singer applications occurs through JSON, which enhances compatibility and ease of implementation across different programming languages. Additionally, Singer incorporates JSON Schema to ensure robust data types and structured organization when necessary. Another advantage of Singer is its ability to easily maintain state during consecutive runs, thereby enabling efficient incremental data extraction. This makes Singer not only versatile but also a powerful tool in the realm of data integration.