Business Software for Azure Synapse Analytics

Orchestra serves as a Comprehensive Control Platform for Data and AI Operations, aimed at empowering data teams to effortlessly create, deploy, and oversee workflows. This platform provides a declarative approach that merges coding with a graphical interface, enabling users to develop workflows at a tenfold speed while cutting maintenance efforts by half. Through its real-time metadata aggregation capabilities, Orchestra ensures complete data observability, facilitating proactive alerts and swift recovery from any pipeline issues. It smoothly integrates with a variety of tools such as dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and others, ensuring it fits well within existing data infrastructures. With a modular design that accommodates AWS, Azure, and GCP, Orchestra proves to be a flexible option for businesses and growing organizations looking to optimize their data processes and foster confidence in their AI ventures. Additionally, its user-friendly interface and robust connectivity options make it an essential asset for organizations striving to harness the full potential of their data ecosystems.

Gain insights into user interactions with your product and pinpoint areas of opportunity to guide your product strategy. Mode enables a single Stitch analyst to accomplish what typically requires an entire data team by offering rapid, adaptable, and collaborative tools. Create dashboards that track annual revenue and utilize chart visualizations to quickly spot anomalies. Develop well-crafted reports suitable for investors or facilitate collaboration by sharing your analyses with different teams. Integrate your complete technology ecosystem with Mode to uncover upstream problems and enhance overall performance. Accelerate cross-team workflows using APIs and webhooks. By analyzing user engagement, you can discover opportunity areas that help refine your product decisions. Additionally, utilize insights from marketing and product data to address vulnerabilities in your sales funnel, optimize landing-page efficiency, and anticipate churn before it occurs, ensuring proactive measures are in place.

Adaptive Data Virtualization™ technology empowers businesses to operate their current applications on contemporary cloud data warehouses without the need for extensive modifications or reconfiguration. With Datometry Hyper-Q™, organizations can swiftly embrace new cloud databases, effectively manage ongoing operational costs, and enhance their analytical capabilities to accelerate digital transformation efforts. This virtualization software from Datometry enables any existing application to function on any cloud database, thus facilitating interoperability between applications and databases. Consequently, enterprises can select their preferred cloud database without the necessity of dismantling, rewriting, or replacing their existing applications. Furthermore, it ensures runtime application compatibility by transforming and emulating legacy data warehouse functionalities. This solution can be deployed seamlessly on major cloud platforms like Azure, AWS, and GCP. Additionally, applications can leverage existing JDBC, ODBC, and native connectors without any alterations, ensuring a smooth transition. It also establishes connections with leading cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, broadening the scope for data integration and analysis.

Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Most tasks involving operations, support, and troubleshooting carried out by Microsoft staff and their sub-processors typically do not necessitate access to customer data. In those infrequent instances where such access becomes necessary, Customer Lockbox for Microsoft Azure offers a system through which customers can evaluate and either approve or deny requests for access to their data. This feature is particularly utilized when a Microsoft engineer requires access to customer data, either due to a support ticket initiated by the customer or a problem detected by Microsoft itself. Activity logs serve to document Customer Lockbox interactions, which can be accessed in the Azure portal by selecting Activity Logs, allowing for a review of auditing information linked to these requests. Users have the option to filter the logs to find specific actions. Furthermore, a new baseline control (3.13) has been introduced in the Azure Security Benchmark, addressing the relevance of Customer Lockbox. This enhancement enables customers to leverage the benchmark to assess the applicability of Customer Lockbox for their services effectively. By doing so, organizations can ensure they maintain a high standard of data security and compliance.

Break down data silos through a unified storage solution that effectively optimizes expenses by employing tiered storage and comprehensive policy management. Enhance data authentication with Azure Active Directory (Azure AD) alongside role-based access control (RBAC), while bolstering data protection with features such as encryption at rest and advanced threat protection. This approach ensures a highly secure environment with adaptable mechanisms for safeguarding access, encryption, and network-level governance. Utilizing a singular storage platform, you can seamlessly ingest, process, and visualize data while supporting prevalent analytics frameworks. Cost efficiency is further achieved through the independent scaling of storage and compute resources, lifecycle policy management, and object-level tiering. With Azure's extensive global infrastructure, you can effortlessly meet diverse capacity demands and manage data efficiently. Additionally, conduct large-scale analytical queries with consistently high performance, ensuring that your data management meets both current and future needs.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

Enhance your understanding of customers with the innovative Microsoft Customer Experience Platform. Fragmented data can obstruct your ability to see a comprehensive picture of your clientele and hinder the establishment of enduring relationships. Discover how to obtain the insights necessary for success. By unlocking the potential of your customer data, you can craft personalized experiences that resonate. Utilize a platform that empowers you to manage your customer data effectively, allowing for more pertinent interactions and fostering deeper connections. Engage directly with your customers on your own terms while maintaining complete control over your data. Anticipate customer intentions to provide the most suitable content through the appropriate channels at precisely the right time. Ensure seamless customer experiences at every interaction by leveraging AI-driven journeys. Combine transactional, behavioral, and demographic information in real-time to develop a rich, 360-degree perspective of your customers, yielding actionable insights that drive your business forward. This comprehensive approach not only enhances customer satisfaction but also strengthens your brand’s loyalty.

Apache Spark provides a holistic component-based platform to automate Data Reconciliation tests for modern Data Lake and Cloud Data Migration Projects. DataOps DataFlow provides a modern web-based solution to automate the testing of ETL projects, Data Warehouses, and Data Migrations. Use Dataflow to load data from a variety of data sources, compare the data, and load differences into S3 or a Database. Create and run dataflow quickly and easily. A top-of-the-class testing tool for Big Data Testing DataOps DataFlow integrates with all modern and advanced sources of data, including RDBMS and NoSQL databases, Cloud and file-based.

Access customer information seamlessly from your app database, data warehouses, spreadsheets, or various APIs without the need for coding. Experience a real-time overview of essential customer data directly within platforms like Salesforce, Marketo, HubSpot, and other business systems. Effortlessly consolidate data from multiple sources—be it databases, data warehouses, spreadsheets, or APIs—automatically. You can select specific fields for synchronization, ensuring you receive only the most relevant data. With just a click, integrate your preferred tools into the workflow. Utilize a simple point-and-click interface to transfer necessary data from your databases and spreadsheets to your business applications. This setup empowers your customer success and sales teams by providing them with a comprehensive view of customer data directly within their sales CRM. Benefit from automatic synchronization of information across data warehouses and databases to all your business systems and spreadsheets. Additionally, enjoy the convenience of having all proprietary user and company attributes automatically updated in your CRM. Your support team will also gain immediate access to the vital customer data they require directly from their support system, enhancing overall efficiency and collaboration.

Theom is an advanced cloud data security solution designed to uncover and safeguard all types of data found in cloud storage, APIs, and message queues. Much like a vigilant bodyguard dedicated to protecting valuable assets, Theom ensures that security measures are consistently applied to data, regardless of its storage or access method. By utilizing agentless scanning and natural language processing classifiers, Theom effectively identifies personally identifiable information (PII), protected health information (PHI), financial data, and trade secrets, while accommodating customized taxonomies. Additionally, it reveals dark data—information that remains unused—and shadow data, which has a different security posture compared to its primary version. Theom excels in locating sensitive information, such as developer keys, within APIs and message queues. To assist organizations in prioritizing threats, Theom also assesses the financial impact of data. Furthermore, it maps the intricate relationships between datasets, access identities, and their associated security features, thereby revealing potential vulnerabilities. By illustrating how valuable data is accessed by different identities, such as users and roles, Theom provides a comprehensive view of security attributes, including user location and unusual access patterns. This holistic approach empowers organizations to make informed decisions about their data security strategies.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Receive insights grounded in data regarding your workforce, operational methods, and technological tools. Establish automation for intricate business workflows that span various systems and data sources. Streamline repetitive tasks to facilitate testing that proves challenging to accomplish manually. The HuLoop platform is designed to create, deploy, and oversee intelligent agents, functioning as a digital workforce that takes over mundane tasks your employees shouldn’t have to handle. By utilizing HuLoop's digital agents, you can achieve reduced costs, enhanced productivity, and greater job satisfaction among your team members. This platform provides a comprehensive view of your operational capabilities, enabling you to grasp and modify the interactions among your people, processes, and technologies. Moreover, it orchestrates and automates complex business processes across disparate systems and data, effectively reducing the reliance on human intervention. These agents not only execute and control tests but also verify expected results, ensuring quality and efficiency. Ultimately, automating these repetitive tasks allows your organization to focus on strategic initiatives rather than manual processes.

Velotix empowers organizations to unlock the true value of their data while maintaining the highest standards of security and compliance in today’s complex regulatory landscape. The Velotix Data Security Platform offers a comprehensive suite of features, including AI-driven data discovery, automated policy enforcement, and granular, dynamic access controls that adapt to the evolving needs of businesses. Designed to seamlessly integrate with multi-cloud and hybrid environments, Velotix simplifies data management, enabling secure, self-service access to data without compromising governance or risking compliance violations. With Velotix, organizations can optimize the use of their data while ensuring that security policies are enforced consistently and efficiently across all platforms. The platform’s advanced workflows and automation capabilities help reduce manual overhead, streamline data processes, and minimize the risk of human error. This results in faster, more informed decision-making while protecting sensitive data assets.

All your customer data can be used to launch high-performance marketing campaigns. Equip your team with the tools they need to segment audiences quickly and independently based on the most trusted customer data. Drag-and-drop UI for self-serve journey orchestration is built to accelerate and improve marketing accuracy. Once your campaign has gained momentum, you can identify your most effective strategies faster than ever. GrowthLoop's suite generative tools will help you keep up with the newfound pace. They are designed to supplement your creative team and provide highly personalized content for any channel or journey. GrowthLoop helps organizations launch intelligent, personalized campaigns more quickly. Activate campaigns across existing systems and channels to maximize your existing martech investment. Combine data from disparate source and rely on a single truth source to increase the accuracy and velocity of campaigns.

Salesforce Data 360 is a real-time enterprise data engine designed to transform disconnected data into actionable intelligence. It unifies customer and operational data from multiple systems into a comprehensive business view. Using Zero-Copy architecture, organizations can activate live data directly from their existing warehouses without duplication. The platform supports both structured and unstructured data, including text, images, and streaming events. Identity resolution and data harmonization tools create consistent, reliable customer profiles. Governance features enforce privacy policies and compliance rules automatically. Data 360 enables dynamic audience segmentation and predictive modeling for smarter decision-making. Teams can trigger automated workflows based on real-time data changes. Insights can be shared securely with marketing platforms, analytics tools, and data warehouses. Data 360 empowers enterprises to activate trusted data across every channel and department.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

Agile Data Engine serves as a robust DataOps platform crafted to optimize the lifecycle of cloud-based data warehouses, encompassing their development, deployment, and management. This solution consolidates data modeling, transformation processes, continuous deployment, workflow orchestration, monitoring, and API integration into a unified SaaS offering. By leveraging a metadata-driven model, it automates the generation of SQL scripts and the workflows for data loading, significantly boosting efficiency and responsiveness in data operations. The platform accommodates a variety of cloud database systems such as Snowflake, Databricks SQL, Amazon Redshift, Microsoft Fabric (Warehouse), Azure Synapse SQL, Azure SQL Database, and Google BigQuery, thus providing considerable flexibility across different cloud infrastructures. Furthermore, its modular data product architecture and pre-built CI/CD pipelines ensure smooth integration and facilitate ongoing delivery, empowering data teams to quickly adjust to evolving business demands. Additionally, Agile Data Engine offers valuable insights and performance metrics related to the data platform, enhancing overall operational transparency and effectiveness. This capability allows organizations to make informed decisions based on real-time data analytics, further driving strategic initiatives.

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.

Tailor is an innovative, headless ERP platform that prioritizes low-code development, allowing businesses to swiftly and effectively create customized backend solutions. Its modular applications can be tailored to meet specific operational requirements, enhancing adaptability. Featuring an open API-first structure, Tailor facilitates smooth integration with popular tools such as Shopify, ShipStation, Loop, and QuickBooks, promoting cohesive business operations. The platform enables the rapid creation of APIs from schemas and offers support for integrating business logic via pipelines and functions, while also simplifying workflow management through event triggers and state machines. By decoupling backend data processing from the frontend user interface, Tailor delivers exceptional flexibility and scalability to users. This architectural design empowers organizations to configure their ERP systems according to distinct processes and needs, breaking free from the conventional constraints of traditional software. Ultimately, Tailor stands out by providing a versatile framework that evolves alongside a business's changing demands.

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.

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.