Business Software for dbt - Page 2

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

Activate customer journeys with complete visibility using infrastructure-as-code. Blotout’s SDK offers companies all of the analytics and remarketing tools they are accustomed to, while offering best-in-class privacy preservation for the company’s users. Blotout’s SDK is out of the box compliant with GDPR, CCPA & COPPA. Blotout’s SDK uses on-device, distributed edge computing for analytics, messaging and remarketing, all without using user personal data, device IDs or IP addresses. Measure, attribute, optimize, and activate customer data with 100% customer coverage. The only stack that gives you the complete customer lifecycle by unifying event, online, and offline data sources. Establish a trusted data relationship with your customers to build loyalty and maintain compliance with the GDPR and global privacy laws.

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end. Ever growing connector library of 300+ connectors have been running in production for years. Run workflows in isolated environments, execute end-to-end tests, and version control everything. Open source gives you the power to build your ideal data stack. Define your entire project as code and collaborate confidently with your team. The Meltano CLI enables you to rapidly create your project, making it easy to start replicating data. Meltano is designed to be the best way to run dbt to manage your transformations. Your entire data stack is defined in your project, making it simple to deploy it to production. Validate your changes in development before moving to CI, and in staging before moving to production.

Automatically indexed warehouses, lakes, dashboards, and other pieces of your data stack. Combined with utilization, lineage, and other social popularity signals, Metaphor lets you show the most trusted data to your users. Provide an open 360 view of your data and conversations about data to everyone in the organization. Meet your customers where they are - share artifacts from the catalog including documentation, natively via Slack. Tag insightful Slack conversations and associate them with data. Collaborate across silos by the organic discovery of important terms and usage patterns. Easily discover data across the entire stack, write technical details and Business friendly wiki that is easily consumed by non-technical users. Support your users directly in Slack and use the catalog as a Data Enablement tool to quickly onboard users for a more personalized experience.

No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.

Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.

Enrich your business with simple and adaptable AI-based solutions that outperform traditional processes and increase the accuracy of your scoring process through our AI-predictive technology. We deliver accurate and unique online behavioral data on customers. Braight’s AI customer segmentation solution will help you gain deeper insights into your customers' behavior through intelligent customer segmentation and predictive behavioral analysis of vast quantities of customers’ online behavioral data. This solution has been developed to boost revenues from cross-selling by identifying our client’s customers who are more likely to convert. Meanwhile, our enhanced segmentation solution enables our clients to better segment and target audiences, allowing for a higher level of message personalization and, consequently, a better response rate to digital campaigns. These solutions provide invaluable insights into the past, current, and future behaviors of customers.

Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage.

Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.

See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.

Spresso is a data-driven, AI-powered approach to pricing strategy, utilizing real-time insights and advanced analytics to optimize pricing decisions for any business goal. Unlock the full potential of price testing with our multi‑arm bandit to quickly identify the optimal price for your products and adapt in real-time to customer and market changes. Leverage multi‑armed bandit experimentation for unparalleled pricing precision. Maximize conversion while protecting margins for promotional campaigns. Understand how price changes impact demand across products to enable strategic pricing decisions.

Monitor and control everything your data pipelines do with zero code changes. Monitor data and pipelines in motion to proactively prevent downtime and quickly root cause issues. Optimize pipeline runs and job performance to save costs and keep SLAs. Accelerate code deployments and platform upgrades while maintaining reliability and performance. Data & performance checks in line with pipeline runs. Checks on input data, before pipelines even run. Automatic preemption of runs. definity takes away the effort to build deep end-to-end coverage, so you are protected at every step, across every dimension. definity shifts observability to post-production to achieve ubiquity, increase coverage, and reduce manual effort. definity agents automatically run with every pipeline, with zero footprints. Unified view of data, pipelines, infra, lineage, and code for every data asset. Detect in run-time and avoid async checks. Auto-preempt runs, even on inputs.

Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives.

Paradime is an AI-powered analytics platform designed to enhance data operations by accelerating dbt pipelines, reducing data warehouse costs by over 20%, and boosting analytics ROI. Its smart IDE streamlines dbt development, potentially saving up to 83% of coding time, while the CI/CD features expedite pipeline delivery, reducing the need for additional platform engineers. The Radar component optimizes data operations, providing automatic cost savings and efficiency improvements. Paradime integrates seamlessly with various applications, offering over 50 integrations to support comprehensive analytics workflows. It is enterprise-ready, providing secure, flexible, and scalable solutions for large-scale data operations. GDPR and CCPA compliant, with appropriate technical and organizational measures in place to protect your information. Weekly vulnerability testing and yearly penetration testing to ensure infrastructure systems are always up to date.

TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.

​Cuckoo is an AI interpreter designed for global teams, facilitating seamless multilingual conversations in sales, marketing, and support. It instantly adapts to conversations of any size, topic, and language, enhancing communication efficiency. Setting up Cuckoo is straightforward, users select all languages, invite Cuckoo to their meetings, compatible with platforms like Zoom, Google Meet, Slack, and Microsoft Teams, and brief it on the meeting's context using keywords and files. Powered by advanced language models, Cuckoo understands the general context of discussions and learns technical details from provided materials. It supports over 20 languages out-of-the-box and is accessible on both mobile and desktop devices without the need for extensive arrangements or rehearsals. Cuckoo has been utilized in various scenarios, including team syncs, sales meetings, town halls, and webinars, proving its adaptability across different conversational contexts.

Cake AI is a comprehensive AI infrastructure platform that enables teams to build and deploy AI applications using hundreds of pre-integrated open source components, offering complete visibility and control. It provides a curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools, with pre-built integrations across the full breadth of components needed to move an AI application into production. Cake supports dynamic autoscaling, comprehensive security measures including role-based access control and encryption, advanced monitoring, and infrastructure flexibility across various environments, including Kubernetes clusters and cloud services such as AWS. Its data layer equips teams with tools for data ingestion, transformation, and analytics, leveraging tools like Airflow, DBT, Prefect, Metabase, and Superset. For AI operations, Cake integrates with model catalogs like Hugging Face and supports modular workflows using LangChain, LlamaIndex, and more.

Cargo lets you build AI‑powered go‑to‑market workflows that drive revenue, orchestrating all GTM operations from a single hub. It aggregates, enriches, scores, assigns, and routes leads, keeping only golden records in sync with your CRM at the right time, cutting outbound admin time by half and letting sales reps focus on selling. It offers built‑in storage to integrate and unify data from CRM, product insights, marketing, and intent signals directly on top of your warehouse, without ever storing customer data locally. Users can define business entities, create segments without SQL, build workflows using native integration connectors, and deploy templates for tasks such as deduplication, data enrichment, lead scoring, account assignment, and waterfall enrichment. Cargo is SOC 2 certified for security, requests minimal permissions, backs up its own app database, and never stores customer data outside the user’s control.

Your data lives in multiple excel files, ad platforms, and SaaS apps – they never agree and it’s impossible to make sense of. Your team wastes 30+ hrs a week combing through data across multiple instances without arriving at any insights you can trust. Zenlytic is the first enterprise-grade BI tool designed for emerging commerce brands like yours. We help you understand your data so you can acquire more efficiently, improve churn, and power growth. Any BI tool can tell you churn increased by 5% last month. Only Zenlytic can tell you why. Our tech quickly identifies the friction points in your user journeys, the promotions that aren’t converting and the acquisition channels that yield low LTV/CAC scores. When you know what’s working, and what’s not, all you have to do is act. Business intelligence tools have always been built for technical users who understand SQL. Not anymore. Our powerful natural language interface empowers everybody to be data-driven.