Business Software for Databricks

Desktop.com offers a complete solution that saves money and instantly provide you and your team with all key aspects for efficient online collaboration and organization. Stay on top of it all by creating one or several workspaces, connect them and organize tools and content into separated Desktops. Add app integrations, share and manage access or use the global search to instantly search across everything from a single location to find what you need. Working with a team, partners or other guest users? Enable the complete Desktop.com communication suite with chat, voice and video call functionality that seamlessly gets added to your workspace. - powerful search; search across ALL your content, apps, integrations and more! - integrated app store; instant access to all the best web apps - bookmark management and sharing - password manager & password sharing - browser extension with secure vault - import feature - app integrations - SSO - MFA Communication suite: - group chat, 1-on-1 chat, cross-app chat - voice and video call - meeting breakout rooms - schedule meetings And much more. Organize it all, with an online Desktop.

You can now add new customer data to all your marketing tools. No need for expensive CDP, manual csv uploads, or SQL. DinMo can be set up in less than 30 minutes. This is simplicity at its finest. Audience Building Simplified: Create any audience with our intuitive Audience manager, no SQL required. One-Click activation: Connect your customer data to your business tools in a single click. CSV exports, Jira tickets are gone. Dynamic Audience management: Get continuously updated data across all synced platform, ensuring that your strategies are always powered by the freshest data.

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.

Based on your interests, history, and role, you will receive personalized and recommended results. QuaerisAI provides near-real-time data access for all data. QuaerisAI enhances your data and document workload with AI. To increase knowledge sharing and track performance, teams can share insights and pinboards. Our advanced AI engine transforms your inquiry to a database-ready language within micro-seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.

Gigasheet applies AI to healthcare price transparency data to deliver market intelligence for providers, payers, and consultants. The platform structures Transparency in Coverage datasets at scale and analyzes them to benchmark reimbursement rates, identify outliers, and surface opportunities for savings or growth. Organizations can integrate their own claims, contract, or network data within a high-scale spreadsheet-style interface to create a complete view of market dynamics. Gigasheet’s AI agent produces consultant-grade reports, dashboards, and executive summaries, allowing teams to improve contracting and strategy decisions without relying on complex technical workflows.

Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Using Twilio Segment, companies can collect, unify and route their customer data into any system. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

Bridgit is the leading AI workforce planning software built exclusively for construction. Trusted by over 40% of the ENR 400, Bridgit gives general contractors and specialty contractors a single source of truth to align business development and operations, forecast labor demand, and build high-performing project teams with confidence. Construction workforce planning is too complex for spreadsheets and disconnected tools. Bridgit replaces scattered emails, whiteboards, and siloed systems with one clear, real-time view of your people, projects, and pipeline — so operations leaders can plan ahead, staff smarter, and protect margins. Bridgit AI delivers intelligent staffing recommendations, experience-based matching, and 5-year scenario forecasting powered by your own data. Track skills, certifications, project history, and utilization across your entire workforce — from long-term project admins to craft workers in the field. Bridgit connects seamlessly with the tools contractors already use, including Procore, Autodesk Construction Cloud, Salesforce, BambooHR, Unanet, and more — eliminating double data entry and keeping every team aligned. Recently expanded to serve specialty contractors with purpose-built Labor Forecasting and Crew Management capabilities, Bridgit is now the definitive workforce planning platform for the full construction workforce.

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

Mitzu is an agentic analytics platform that gives every team an AI analyst on top of their data warehouse. Ask any business question in plain language — Mitzu autonomously generates and runs the query on your live Snowflake, BigQuery, Redshift, or Databricks data, then returns an explainable answer with the underlying SQL visible. No data is ever duplicated. Beyond ad-hoc questions, Mitzu runs deep multi-angle analysis and proactively monitors KPIs with email and Slack alerts. Built for product, marketing, growth, and data teams. BYOC and self-hosting available for enterprises with strict compliance needs.

Row Zero is the best spreadsheet for big data. Row Zero is similar to Excel and Google Sheets, but can handle 1+ billion rows, process data much faster, and connect live to your data warehouse and other data sources. Built-in connectors include Snowflake, Databricks, Redshift, Amazon S3, and Postgres. Row Zero spreadsheets are powerful enough to pull entire database tables into a spreadsheet, letting anyone build live pivot tables, charts, models, and metrics on data from your data warehouse. With Row Zero, you can easily open, edit, and share multi-GB files (CSV, parquet, txt, etc.) Row Zero also offers advanced security features and is cloud-based, empowering organizations to eliminate ungoverned CSV exports and locally stored spreadsheets from their org. Row Zero has all of the spreadsheet features you know and love, but was built for big data. If you know how to use Excel or Google Sheets, you can get started with ease. No training required.

Silent Push reveals adversary infrastructure, campaigns, and security problems by searching across the most timely, accurate and complete Threat Intelligence dataset available. Defenders can focus on stopping threats before they cause a problem and significantly improve their security operations across the entire attack chain whilst simultaneously reducing operational complexity. The Silent Push platform exposes Indicators of Future Attack (IOFA) by applying unique behavioral fingerprints to attacker activity and searching our dataset. Security teams can identify new impending attacks, rather than relying upon out-of-date IOCs delivered by legacy threat intelligence. Organizations are better protected by understanding emerging developing threats before launch, proactively solving problems within infrastructure, and gaining timely and tailored threat intelligence with IoFA, that allows organizations to stay one step ahead of advanced attackers.

GPT-5.5 is a next-generation AI system built for execution-heavy workflows across coding, research, business analysis, and scientific tasks. It can interpret complex instructions, break them into actionable steps, and carry them through to completion while interacting with tools and systems. The model supports creating applications, generating reports, analyzing datasets, and navigating software environments seamlessly. It also integrates with workspace agents—custom AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks such as lead research, reporting, and workflow automation, either on demand or on schedules. GPT-5.5 enhances productivity by reducing manual effort and enabling continuous task execution across tools. With enterprise-grade safeguards and monitoring, it ensures secure and controlled automation. It is well-suited for organizations looking to scale operations and improve efficiency through AI-driven workflows.

GPT-5.6 Terra is OpenAI’s balanced GPT-5.6 model for users who need strong performance across everyday work, development tasks, enterprise workflows, and technical analysis. The model is part of the GPT-5.6 family alongside Sol and Luna, with Terra positioned as the middle tier for capable, cost-efficient use. Terra is described as having competitive performance to GPT-5.5 while being 2x cheaper, making it useful for teams that want advanced capability without always using the flagship model. It supports coding workflows, agentic tasks, cybersecurity-related defensive work, biology workflows, knowledge work, and tool-assisted automation. In benchmark previews, Terra appears alongside Sol and Luna in evaluations for coding, biology, ExploitBench, and ExploitGym. The model benefits from the GPT-5.6 safeguard stack, which includes model-level refusals for prohibited cyber assistance, real-time cyber and biology misuse classifiers, and account-level risk review. These safeguards are designed to preserve access to legitimate work such as code review, debugging, vulnerability research, patch development, security education, and defensive testing. GPT-5.6 Terra is planned for availability through the API, Codex, and broader OpenAI products after the limited preview period. GPT-5.6 Terra helps teams get a balanced model for high-quality AI work when they need strong reasoning and automation at a lower cost than Sol.

Claude Fable 5 is Anthropic’s most capable generally available AI model, built to tackle demanding tasks across software development, research, business analysis, scientific exploration, and enterprise productivity. The model demonstrates state-of-the-art performance in coding, reasoning, visual understanding, long-context processing, and autonomous task execution. Claude Fable 5 can analyze large codebases, interpret complex documents and datasets, generate detailed reports, and assist with advanced decision-making processes. Its enhanced memory capabilities allow it to remain effective during long-running workflows and multi-step projects. The model also delivers strong performance in image analysis, chart interpretation, scientific reasoning, and technical problem-solving. Anthropic has incorporated advanced safety classifiers that detect certain high-risk topics and automatically redirect those interactions to a more restricted model experience. These safeguards are designed to reduce misuse while still providing productive assistance for legitimate users. Claude Fable 5 is available through the Claude platform and API, enabling developers and organizations to integrate advanced AI capabilities into their applications and workflows. The platform is designed to help businesses improve productivity, accelerate innovation, and streamline complex knowledge work.

GPT-5.6 Sol is OpenAI’s flagship model in the GPT-5.6 series, built for high-end reasoning, coding, scientific analysis, cybersecurity, and agentic automation. The model is designed to handle complex tasks that require planning, iteration, tool coordination, long-horizon reasoning, and careful execution across multiple steps. GPT-5.6 Sol introduces max reasoning effort, giving the model more time to reason deeply through difficult problems. It also introduces ultra mode, which uses subagents to accelerate complex work and extend capability beyond a single-agent workflow. For coding, GPT-5.6 Sol is positioned for command-line workflows, software engineering tasks, debugging, testing, and multi-step tool use. In biology and quantitative research workflows, the model is designed to support genomics analysis and other long-context scientific tasks while using tokens more efficiently than prior models. For cybersecurity, GPT-5.6 Sol supports legitimate defensive work such as vulnerability research, code review, patch development, security education, and defensive testing. The model includes a layered safeguard stack with trained refusals, real-time cyber and biology misuse classifiers, account-level monitoring, differentiated access, human-in-the-loop review, and ongoing red-team testing. GPT-5.6 Sol helps trusted users and organizations access more powerful AI for technical work while maintaining stronger controls around misuse, sensitive requests, and high-risk activity.

GPT-5.6 Luna is OpenAI’s fast, cost-efficient model in the GPT-5.6 lineup. The GPT-5.6 family includes Sol for flagship performance, Terra for balanced everyday work, and Luna for strong capability at the lowest listed price. Luna is designed for users who need scalable AI support for routine tasks, coding assistance, workflow automation, analysis, and production API use cases where speed and cost matter. According to the pasted preview text, Luna is priced below both Sol and Terra, making it the most affordable GPT-5.6 option for high-volume workloads. The model is included in GPT-5.6 benchmark previews across Terminal-Bench 2.1, GeneBench v1, ExploitBench, and ExploitGym, showing that it is part of the same technical family used for coding, biology, and cybersecurity evaluations. Luna benefits from safeguards developed across the GPT-5.6 series, including model-level refusal training, real-time cyber and biology misuse classifiers, account-level signals, differentiated access, monitoring, enforcement, and ongoing testing. These controls are designed to preserve legitimate use cases such as debugging, code review, defensive testing, security education, and productivity automation while constraining prohibited misuse. GPT-5.6 Luna is planned for broader access through ChatGPT, Codex, and the API after the limited preview period. GPT-5.6 Luna helps developers and organizations run useful AI workflows with a practical balance of affordability, responsiveness, and safety.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Our focus is on ensuring that data is secure and effortlessly accessible for businesses. The Safe Haven platform enhances customer intelligence, facilitates large-scale engagement, and fosters innovative opportunities for business expansion. Designed for the contemporary enterprise, our platform grants comprehensive control over data access and usage through top-tier software solutions for identity management, activation, and data collaboration. You can harness data access to uncover valuable business insights and boost revenue, all while keeping strict oversight of how data is used. Effectively connect with your target audiences across various channels, platforms, publishers, or networks, while securely converting data between identity realms to enhance outcomes. Safeguard your customer information using cutting-edge privacy-preserving technologies and sophisticated methods that limit data movement, yet still allow for the generation of insights. In doing so, you empower businesses to thrive in a data-driven landscape while upholding the highest standards of data protection.

Keras is an API tailored for human users rather than machines. It adheres to optimal practices for alleviating cognitive strain by providing consistent and straightforward APIs, reducing the number of necessary actions for typical tasks, and delivering clear and actionable error messages. Additionally, it boasts comprehensive documentation alongside developer guides. Keras is recognized as the most utilized deep learning framework among the top five winning teams on Kaggle, showcasing its popularity and effectiveness. By simplifying the process of conducting new experiments, Keras enables users to implement more innovative ideas at a quicker pace than their competitors, which is a crucial advantage for success. Built upon TensorFlow 2.0, Keras serves as a robust framework capable of scaling across large GPU clusters or entire TPU pods with ease. Utilizing the full deployment potential of the TensorFlow platform is not just feasible; it is remarkably straightforward. You have the ability to export Keras models to JavaScript for direct browser execution, transform them to TF Lite for use on iOS, Android, and embedded devices, and seamlessly serve Keras models through a web API. This versatility makes Keras an invaluable tool for developers looking to maximize their machine learning capabilities.

The Alation Agentic Data Intelligence Platform is designed to transform how enterprises manage, govern, and use data for AI and analytics. It combines search, cataloging, governance, lineage, and analytics into one unified solution, turning metadata into actionable insights. AI-powered agents automate critical tasks like documentation, data quality monitoring, and product creation, freeing teams from repetitive manual work. Its Active Metadata Graph and workflow automation capabilities ensure that data remains accurate, consistent, and trustworthy across systems. With 120+ pre-built connectors, including integrations with AWS, Snowflake, Salesforce, and Databricks, Alation integrates seamlessly into enterprise ecosystems. The platform enables organizations to govern AI responsibly, ensuring compliance, transparency, and ethical use of data. Enterprises benefit from improved self-service analytics, faster data-driven decisions, and a stronger data culture. With industry leaders like Salesforce and 40% of the Fortune 100 relying on it, Alation is proven to help businesses unlock the value of their data.

Alibaba Cloud, a subsidiary of Alibaba Group (NYSE: BABA), offers a wide range of global cloud computing solutions designed to enhance the online operations of our international clientele while also supporting Alibaba Group's e-commerce infrastructure. In a significant move, Alibaba Cloud was named the official Cloud Services Partner for the International Olympic Committee in January 2017. Committed to advancing the latest cloud technologies and robust security measures, we strive to fulfill our mission of simplifying global business interactions for everyone. Serving both large enterprises and small startups, as well as individual developers and public organizations, Alibaba Cloud extends its services across more than 200 countries and regions worldwide. Our dedication to innovation and customer satisfaction sets us apart in the cloud computing landscape.

Supply chain security and developer productivity are both based on simplified dependency lifecycle management. Endor Labs aids security and development teams by safely maximising software reuse. With a better selection process, you can reduce the number of dependencies and eliminate unused dependencies. To protect against software supply chain attacks, identify the most critical vulnerabilities and use dozens leading indicators of risk. You can get out of dependency hell quicker by identifying and fixing bugs and security issues in the dependency chain. Dev and security teams will see an increase in productivity. Endor Labs allows organizations to focus on delivering value-adding code by maximising software reuse and minimizing false positives. You can see every repos in your dependency network. Who uses what and who is dependent on whom?

LangChain provides a comprehensive framework that empowers developers to build and scale intelligent applications using large language models (LLMs). By integrating data and APIs, LangChain enables context-aware applications that can perform reasoning tasks. The suite includes LangGraph, a tool for orchestrating complex workflows, and LangSmith, a platform for monitoring and optimizing LLM-driven agents. LangChain supports the full lifecycle of LLM applications, offering tools to handle everything from initial design and deployment to post-launch performance management. Its flexibility makes it an ideal solution for businesses looking to enhance their applications with AI-powered reasoning and automation.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

Equip your data professionals with advanced contextual learning agents that enable immediate insights from intricate structured data. Your data transcends mere numbers; it tells a story. Our advanced contextual learning system processes, enriches, and integrates your diverse, multi-source data, converting disjointed facts into a unified graph. From multi-cloud data warehouses to sophisticated data lineage tracking, observe the comprehensive narrative unfold in real-time. Acquire insights that adapt alongside your data, facilitating informed decisions free from distractions. Synchronize every data role into a cohesive workflow through agent-assisted collaboration. Analysts, engineers, managers, and artificial intelligence collaborate seamlessly, dismantling barriers with agent-driven processes that clarify even the most intricate analytics challenges. Our agents promote an effortless information exchange among teams, significantly reducing the time needed for insights and enhancing team effectiveness. Together, unleash the complete potential of your data. By fostering collaboration and streamlining processes, your organization can thrive in an increasingly data-driven landscape.