Business Software for Databricks

Wiv.ai is an advanced FinOps automation solution that aids organizations in refining and enhancing their cloud financial operations by integrating AI-driven workflow automation, case management, real-time dashboards, and customizable automation templates into a cohesive workspace aimed at reducing expenses and ensuring compliance. By consolidating data from various cloud service providers, it displays this information through organized dashboards while allowing users to create and automate workflows for cloud cost optimization using an intuitive drag-and-drop interface along with pre-designed templates, all without the need for programming skills. The platform's intelligent capabilities allow for task creation using natural language, with context-aware AI assistants that convert straightforward English instructions into actionable automation, effectively transforming insights into automated operations that minimize manual workload and operational risks. Furthermore, Wiv.ai features a robust workflow engine equipped with conditional logic, version control, parallel execution, and sophisticated error management to adeptly handle alerts and cost-related issues, ensuring a seamless and efficient process for users. Its design not only promotes cost efficiency but also fosters a governance structure that enhances overall financial accountability within cloud operations.

Alkemi's premier offering, DataLab, serves as a secure AI-driven workspace that facilitates direct connections to your organization's regulated data from platforms such as Snowflake, BigQuery, Databricks, or even straightforward CSV uploads, allowing users to pose questions in everyday language and receive immediate, clear answers, visualizations, and suggestions without needing SQL expertise or analyst assistance. Within a private and secure environment, DataLab systematically indexes and examines your data, ensuring that every insight is both traceable and verifiable, maintaining the integrity of your data and protecting intellectual property and governance. By merging the complexities of data storage with accessible decision-making, it enhances the clarity of business intelligence through conversational AI, effectively minimizing BI backlogs and accelerating decision-making across various sectors, including marketing, finance, product, sales, and operations. Furthermore, DataLab empowers data providers to transform their datasets into engaging, AI-ready experiences that can be securely navigated by buyers, facilitating faster data discovery while safeguarding the integrity of the underlying raw data. This innovative approach not only streamlines workflows but also fosters a culture of data-driven decision-making within organizations.

mpmX is an innovative platform dedicated to modular process mining and process intelligence, designed to aid organizations in extracting, analyzing, visualizing, and optimizing intricate operational processes by interfacing directly with existing data systems like Qlik, Snowflake, and Databricks, thereby eliminating the need for data duplication or migration. By mining fragmented business data, it uncovers genuine process flows, interdependencies, inefficiencies, and bottlenecks, effectively merging business intelligence with process mining to allow teams to grasp both numerical KPIs and the fundamental workflows driving them, ultimately leading to the identification of root causes rather than merely addressing surface-level issues. Additionally, mpmX offers functionalities such as visual process mapping, dynamic filtering, time-based analysis, and multi-perspective process views, along with the capability for automated report generation, thereby empowering analysts and decision-makers to gain a comprehensive understanding of performance at scale and make informed strategic decisions.

Varick Agents specializes in creating and implementing bespoke AI agent solutions that aim to automate entire operational workflows rather than just individual tasks, empowering organizations to enhance various departments—including finance, operations, revenue, legal, admissions, and customer support—with AI specifically designed to integrate directly with essential systems such as ERP, CRM, and practice management tools, thus eliminating the need for platform migrations or extensive exploration phases; these agents are customized to fit each client's specific processes and are capable of managing comprehensive tasks like client intake, contract assessment, admissions assistance, financial reconciliation, marketing attribution, and round-the-clock customer service automation, all while incorporating human-in-the-loop safeguards to allow teams to concentrate on more valuable activities. Their approach prioritizes quick deployment, typically within 30 days, fluid integration, and demonstrable business results, ensuring that clients experience the benefits of AI-driven efficiency promptly and effectively. By focusing on tailored solutions, Varick Agents not only streamlines operations but also fosters a culture of innovation and adaptability within organizations.

DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.

1Platform serves as a comprehensive solution in data engineering, analytics, and AI/ML, enabling organizations to consolidate, prepare, and scrutinize data to create actionable insights and business intelligence; it integrates sophisticated data engineering with generative AI, autonomous agents, and business intelligence features, empowering companies to transform unrefined data into quantifiable results and informed strategies. The platform facilitates complete data workflows, encompassing data orchestration, analytical strategies, AI-driven assistants (both agentic and generative), and pre-built machine learning models that enhance insight generation across various domains such as sales, supply chain, finance, and operations, all while simplifying data governance, integration, and readiness processes. Furthermore, Polestar’s ecosystem is enriched with tools designed for AI-enhanced decision support and analytics dashboards, prioritizing a scalable, cloud-capable infrastructure that seamlessly integrates with leading hyperscalers and partners, including Databricks, to establish a robust AI-ready data foundation that can adapt to evolving business needs. This holistic approach ensures that organizations can leverage their data more effectively, driving innovation and competitive advantage in a rapidly changing market landscape.

Insider One serves as an AI-driven platform for customer engagement and omnichannel marketing, seamlessly integrating customer data, personalization, predictive intelligence, and journey orchestration into one cohesive system. This allows marketing teams to provide immediate and tailored experiences across various channels, including web, app, email, SMS, WhatsApp, push notifications, and site search, all without the need to toggle between different tools. By analyzing customer behavior, it can foresee interests and subsequent actions, which empowers marketers to accurately segment their audiences, initiate automated journeys, and enhance campaigns using real-time AI that predicts needs while boosting engagement and conversion rates. Additionally, the platform features a built-in Customer Data Platform (CDP) that integrates data from over 100 connectors, forming unified customer profiles for customized messaging and insightful recommendations. Users are equipped to craft and automate interconnected experiences using a visual canvas that incorporates triggers and conditions, allowing for A/B testing and the initiation of personalized interactions, thus enhancing overall marketing effectiveness. Moreover, Insider One's adaptability ensures that it can evolve alongside changing customer preferences, further solidifying its value in the dynamic landscape of digital marketing.

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.

Adaptive6 is an innovative platform designed for cloud cost governance and optimization, assisting organizations in identifying, fixing, and averting waste in their cloud infrastructure and coding practices. By continuously monitoring multi-cloud environments, PaaS, and Infrastructure-as-Code setups, it reveals numerous inefficiencies, including hidden "shadow waste" that often goes unnoticed alongside the more apparent cost drivers. The platform equips engineers with in-depth context, AI-generated code corrections, remediation scripts, and automated pull requests to streamline the problem-solving process. Moreover, it integrates shift-left cost control measures into CI/CD pipelines, actively signaling and preventing inefficiencies prior to deployment. Automation of remediation workflows is also a key feature, as it pinpoints resource owners and generates tickets or change requests accompanied by technical advice. With its comprehensive dashboard providing enhanced visibility, recommendations for optimizing over-provisioned cloud and Kubernetes resources, policy enforcement capabilities, and tools that foster cultural accountability, Adaptive6 empowers teams to effectively lower their cloud expenditures while promoting sustainable practices. Ultimately, this platform not only enhances financial efficiency but also contributes to a more responsible approach to cloud resource utilization.

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.

xCloud.host is an innovative cloud hosting and server management solution aimed at making the hosting, deployment, and management of websites, particularly WordPress and PHP applications, accessible without requiring extensive technical expertise or DevOps skills. This platform merges a robust managed control panel with a global cloud infrastructure, enabling users to effortlessly launch, scale, and monitor their servers and sites through features such as one-click application deployment, optimized NGINX/OpenLiteSpeed configurations, staging environments, and both incremental and full backups. Additionally, it offers SSL provisioning, real-time performance and health monitoring, as well as automated security protocols including firewalls and Fail2Ban protection. Users have the flexibility to link their existing cloud provider accounts, such as DigitalOcean, Vultr, and GCP, or choose to utilize xCloud’s managed servers, which allows for centralized management of servers and sites. The platform also includes team access controls, database management tools, file managers, site cloning capabilities, Git repository deployment, and streamlined migration processes, making it a comprehensive solution for modern web hosting needs. Ultimately, xCloud.host is designed to empower users to focus on their content and growth without getting bogged down by technical complexities.

QuickLaunch Analytics serves as an enterprise data analytics solution that empowers organizations to consolidate disparate data from various sources, such as ERP, CRM, financial, HR, and operational systems, into a cohesive, governed analytics environment, delivering quicker, actionable insights. Instead of constructing an analytics infrastructure from the ground up, it offers a Foundation Pack featuring automated data pipelines, a cloud-native data lakehouse, and Power BI semantic models, enabling seamless integration, cleansing, and governance of raw enterprise data for analytical purposes. Additionally, the platform includes Application Packs that provide pre-built, application-specific intelligence and ready-to-use semantic models customized for systems like JD Edwards, Viewpoint Vista, NetSuite, and Salesforce, effectively translating intricate data structures into easily understandable business metrics and dashboards. As a result, QuickLaunch Analytics significantly reduces the time required to gain insights from several months or years down to just weeks, all while promoting standardized metrics and reports, facilitating cross-application analysis, and enhancing self-service BI capabilities via the use of cutting-edge technologies. This approach not only streamlines data processing but also enables organizations to make data-driven decisions with greater agility and confidence.

Vega is an innovative, AI-native platform for federated security analytics designed to provide security operations teams with comprehensive visibility, detection, investigation, and response capabilities across their security data without the need for expensive data migration or centralized ingestion. Its Security Analytics Mesh (SAM) empowers analysts to effortlessly access and query data regardless of location, including SIEMs, data lakes, cloud services, and cold storage, utilizing natural language or query languages to eliminate blind spots and minimize costs and maintenance while enhancing coverage. The platform offers AI-driven detections, automated triage, and correlation of alerts across various environments, allowing teams to create, deploy, and refine detection rules once and apply them universally. In addition to these benefits, Vega continually optimizes alerts to decrease unnecessary noise, reveals overlooked security vulnerabilities, and seamlessly integrates with existing security ecosystems through a variety of pre-built connectors. With its ability to streamline security operations, Vega stands out as a crucial tool in enhancing organizational security posture.

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.

EZConvertBI is an intelligent solution for business intelligence migration that leverages AI to streamline the intricate task of moving dashboards, reports, datasets, and analytics from outdated BI platforms, including Tableau, Qlik, and Power BI, to contemporary, cloud-based environments like Amazon QuickSight, Looker, and Power BI. By utilizing this tool, organizations can achieve migration of BI assets with execution speeds increased by as much as 90% and substantial cost savings, all while ensuring the preservation of visual aesthetics, business logic, SQL queries, extracts, and calculations during the entire process. The solution features an Analyzer component that interfaces with existing BI systems or uploaded workbooks to evaluate complexity, pinpoint duplicate or obsolete dashboards, and produce comprehensive diagnostic reports detailing migration scope, projected costs, and potential impacts. Moreover, its automated conversion engine proficiently maps and transforms dashboards, datasets, and queries into the desired target environment, guaranteeing the maintenance of functionality and the accurate replication of both visuals and underlying logic. This innovative approach not only simplifies the migration process but also empowers businesses to harness the full potential of their data in a modern analytics landscape.

Simtheory is an innovative AI-driven workspace that revolutionizes team collaboration by converting discussions into tangible actions through integrated systems, data, and smart assistants. More than just a chatbot, it provides a secure platform where users can create AI assistants tailored to their business needs, capable of accessing internal resources and performing various tasks like drafting reports, analyzing data, updating CRM entries, scheduling appointments, or communicating with stakeholders. By connecting directly to data warehouses, SaaS applications, and internal infrastructures, the AI gains comprehensive context to produce precise and relevant outputs, empowering teams to evolve from basic prompts to delegated responsibilities with measurable results. Users can also design shared assistants with personalized instructions and knowledge bases, fostering standardized workflows and enhancing collaboration across different projects. Additionally, Simtheory accommodates multiple AI models within a single workspace, enabling users to switch effortlessly between them according to their requirements. This flexibility ensures that teams can adapt to changes and challenges in their work environment more efficiently.

VoxiHost is a Virtual Private Server (VPS) hosting solution that aims to deliver exceptional performance and adaptable infrastructure for applications, websites, and online services within a private cloud setting. With dedicated server resources and complete root access, users can install and control their own operating systems and software stacks, sidestepping the restrictions typically associated with shared hosting. Powered by cutting-edge AMD Ryzen 9 7950X3D processors, along with NVMe SSD storage and DDR5 memory, VoxiHost ensures rapid computing capabilities and minimal data access latency, making it ideal for intensive workloads. The platform accommodates a diverse array of applications, from hosting websites and game servers to managing databases, bots, development environments, and VPNs, providing versatility for both individual users and businesses. Additionally, VoxiHost offers a selection of pre-configured operating system templates, including popular options like Ubuntu, Debian, and Windows Server, which facilitate swift deployment and simplify the onboarding process for less tech-savvy users. This combination of high performance and user-friendliness positions VoxiHost as a robust choice for various hosting needs.

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.

Singulr is a comprehensive platform designed for enterprise AI governance and security, providing a cohesive control framework that aids organizations in discovering, securing, and optimizing their AI implementations on a large scale. By tackling the widening gap between the rapid deployment of AI technologies and the constraints of governance, it offers unparalleled visibility into all AI systems utilized within the organization, which includes custom applications, integrated AI solutions, public tools, and shadow AI that often evade detection by security teams. It systematically identifies and catalogs AI resources throughout the organization, creating a real-time inventory of agents, models, and services while evaluating their associated risks through thorough contextual assessments of data management, model lineage, vulnerabilities, and compliance requirements. The platform's intelligence layer, Singulr Pulse, processes millions of AI systems, assigns risk ratings, and facilitates automated onboarding processes that significantly shorten approval timelines from weeks to mere hours, all while ensuring robust security measures are in place. This innovative approach not only enhances the efficiency of AI adoption but also empowers organizations to maintain a strong governance framework as they navigate the complexities of AI integration.

Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.

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.

Fig enhances Security Operations Resilience for contemporary SOC teams, empowering them to endure transformations without succumbing to disruptions. While change can jeopardize a SOC's functionality, it can also serve as a source of strength, and Fig ensures that both detection and response mechanisms remain operational during instances of drift and intentional modifications. Drift occurs when alterations from upstream sources inadvertently disrupt detection protocols and automations, leaving teams without alerts or guidance and potentially facing lengthy and arduous processes to identify and rectify issues. In addition, planned changes, such as enhancements in SecOps and infrastructure initiatives, often progress at a cautious pace to prevent any adverse effects on production systems. To address these challenges, Fig equips teams with drift detection tools that identify when a detection or response fails, drift repair capabilities that pinpoint the underlying cause, recommend solutions, conduct tests, and facilitate deployment upon approval, along with change modeling features that allow teams to simulate proposed initiatives and evaluate their potential consequences prior to implementation in production. This comprehensive approach ensures that SOC teams can navigate the complexities of change with confidence and efficiency.