Business Software for Azure Synapse Analytics

Easily distribute data of any format and size from various sources to other organizations while maintaining full control over what you share, who receives it, and the associated terms of use. The Data Share platform offers complete transparency regarding your data-sharing connections through a user-friendly interface, allowing you to share information with just a few clicks or create a custom application via the REST API. This serverless, code-free data-sharing solution eliminates the need for infrastructure setup or management, providing an intuitive interface to oversee all your data-sharing interactions. With automated processes in place, you can achieve greater productivity and predictability in your operations. The service ensures data security by leveraging Azure's robust security measures, enabling the sharing of both structured and unstructured data from a variety of Azure data stores effortlessly. Furthermore, there’s no need for SAS keys, and sharing is entirely code-free, allowing you to dictate data access and define terms of use that comply with your enterprise policies seamlessly. With this tool, organizations can foster collaboration while safeguarding their data integrity and compliance.

With Secoda AI enhancing your metadata, you can effortlessly obtain contextual search results spanning your tables, columns, dashboards, metrics, and queries. This innovative tool also assists in generating documentation and queries from your metadata, which can save your team countless hours that would otherwise be spent on tedious tasks and repetitive data requests. You can easily conduct searches across all columns, tables, dashboards, events, and metrics with just a few clicks. The AI-driven search functionality allows you to pose any question regarding your data and receive quick, relevant answers. By integrating data discovery seamlessly into your workflow through our API, you can perform bulk updates, label PII data, manage technical debt, create custom integrations, pinpoint underutilized resources, and much more. By eliminating manual errors, you can establish complete confidence in your knowledge repository, ensuring that your team has the most accurate and reliable information at their fingertips. This transformative approach not only enhances productivity but also fosters a more informed decision-making process throughout your organization.

Developing and overseeing data policies can often be a tedious and frustrating process. However, with PACE by STRM, you gain a powerful tool to ensure the secure usage of data. You can implement data policies through code, no matter where they are situated, eliminating lengthy delays and expensive meetings in the process. Say hello to your new open-source data security engine that transforms the way you manage data governance. Data policies extend beyond merely controlling access; they are essential for deriving meaningful insights from data while maintaining appropriate safeguards. PACE empowers you to collaborate on the rationale and timing, while automating the execution through code. With PACE, you have the ability to programmatically define and enforce data policies across various platforms. This tool can seamlessly integrate into your existing data platform and catalog, taking advantage of the inherent capabilities of your current stack. By automating policy application across critical data platforms and catalogs, PACE simplifies your governance efforts significantly. This innovative solution streamlines the creation and execution of policies, allowing you to centralize oversight while decentralizing implementation. Additionally, it simplifies compliance with auditing requirements by enabling you to demonstrate how controls are executed effectively. Ultimately, PACE revolutionizes data governance, making it more efficient and user-friendly.

ID Privacy is shaping the future of AI by focusing on privacy-first solutions. Our mission is to deliver cutting edge AI technologies to empower businesses to innovate, without compromising security and trust. ID Privacy AI provides secure, adaptable AI model built with privacy in mind. We empower businesses in all industries to harness advanced AI. Whether it's optimizing workflows, improving customer AI chat experiences or driving insights while safeguarding data, we empower them. The team at ID Privacy met and developed the plan for AI as a Service solution under the guise of stealth. Launched with the most comprehensive knowledge base of ad technology, including multi-modal and multi-lingual capabilities. ID Privacy AI focuses on privacy-first AI for businesses and enterprise. Businesses can be empowered with a flexible AI Framework that protects data and solves complex challenges in any vertical.

Castor serves as a comprehensive data catalog aimed at facilitating widespread use throughout an entire organization. It provides a holistic view of your data ecosystem, allowing you to swiftly search for information using its robust search capabilities. Transitioning to a new data framework and accessing necessary data becomes effortless. This approach transcends conventional data catalogs by integrating various data sources, thereby ensuring a unified truth. With an engaging and automated documentation process, Castor simplifies the task of establishing trust in your data. Within minutes, users can visualize column-level, cross-system data lineage. Gain an overarching perspective of your data pipelines to enhance confidence in your data integrity. This tool enables users to address data challenges, conduct impact assessments, and ensure GDPR compliance all in one platform. Additionally, it helps in optimizing performance, costs, compliance, and security associated with your data management. By utilizing our automated infrastructure monitoring system, you can ensure the ongoing health of your data stack while streamlining data governance practices.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Importing your SQL script allows for the automatic creation of a database model, facilitating modifications and the generation of new SQL and Alter scripts. Enhance the transparency of your processes as you collaborate seamlessly with teams, including DB Developers, Project Managers, and Analysts. Maintain control over your project's versions while generating necessary alter scripts with ease. Additionally, you can convert your project into various DB/DW types with just a single click. By integrating your existing DB/DW into SqlDBM, you will benefit from a robust and effective visualization of your database model. You can make adjustments, produce new SQL scripts that encompass Alter scripts, and even create detailed specifications by adding images of your schema for better clarity. This comprehensive functionality ensures all team members are aligned and informed throughout the project lifecycle.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Count is an interactive data whiteboard that allows for full collaboration. It combines the flexibility and creativity that a whiteboard offers with the power and reactivity of BI Notebooks. It is easy to break down complex SQL queries and data model into interconnected cells for better understanding the logic. Use sticky notes and graphics to help stakeholders understand your work. As you build, you can collaborate with other analysts or stakeholders to get faster feedback. Turn any canvas into a slideshow or interactive report.

Now, anyone can quickly uncover insights buried within their company data in just seconds. With search functionality, users can analyze their data and receive automated insights precisely when needed. ThoughtSpot enables anyone to pose questions, discover insights, and delve deeply into their organizational data almost instantaneously. No longer do you have to wait for specialized reports from data professionals; you can now address ad-hoc data inquiries immediately. This empowers individuals without technical backgrounds to find answers to their own data-related questions while you create a comprehensive source of truth that maintains security and governance across the board. By maximizing the potential of your cloud data warehouse, you can enhance the speed at which insights are obtained for everyone in your organization. In just minutes, democratize access to insights and revolutionize how your company leverages data. Explore how leading-edge companies are utilizing ThoughtSpot to extract greater value from their data resources. Furthermore, it can be deployed as either SaaS or as software within your private virtual cloud, ensuring that AI-driven insights are available to you more promptly than ever before. Ultimately, this transformative approach to data usage can lead to significant improvements in business decision-making.

The Peltarion Platform is an accessible low-code environment for deep learning that empowers users to swiftly create AI-driven solutions that can scale commercially. It facilitates the entire process of building, adjusting, refining, and deploying deep learning models seamlessly. This comprehensive platform enables you to manage everything from data uploads to model creation and deployment in one place. Renowned organizations such as NASA, Tesla, Dell, and Harvard have leveraged the Peltarion Platform and its earlier version to address complex challenges. Users can either develop their own AI models or take advantage of our pre-trained options, utilizing a simple drag-and-drop interface, including access to the latest advancements. You have complete control over the entire development cycle, from construction and training to fine-tuning and deployment of AI solutions, all seamlessly integrated. By operationalizing AI through this platform, businesses can unlock significant value. For those with no background in AI, our Faster AI course is designed to provide foundational knowledge, and upon completion of seven concise modules, participants will gain the ability to create and customize their own AI models on the Peltarion platform, fostering a new generation of AI practitioners. This initiative not only enhances individual skill sets but also contributes to the broader adoption of AI technology in various industries.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

Concentrate on producing insightful and impactful reports and analytics rather than getting bogged down in the complexities of data warehouse code. Avoid allowing your data warehouse to turn into a chaotic mix of numerous difficult-to-manage pipelines, notebooks, stored procedures, tables, and views. Dimodelo DW Studio significantly minimizes the workload associated with designing, constructing, deploying, and operating a data warehouse. It enables the design and deployment of a data warehouse optimized for Azure Synapse Analytics. By creating a best practice architecture that incorporates Azure Data Lake, Polybase, and Azure Synapse Analytics, Dimodelo Data Warehouse Studio ensures the delivery of a high-performance and contemporary data warehouse in the cloud. Moreover, with its use of parallel bulk loads and in-memory tables, Dimodelo Data Warehouse Studio offers an efficient solution for modern data warehousing needs, enabling teams to focus on valuable insights rather than maintenance tasks.

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

Gravity aims to simplify the process of streaming data from over 100 different sources, allowing users to pay only for what they actually utilize. By providing a straightforward interface, Gravity eliminates the need for engineering teams to create streaming pipelines, enabling users to set up streaming from databases, event data, and APIs in just minutes. This empowers everyone on the data team to engage in a user-friendly point-and-click environment, allowing you to concentrate on developing applications, services, and enhancing customer experiences. Additionally, Gravity offers comprehensive execution tracing and detailed error messages for swift problem identification and resolution. To facilitate a quick start, we have introduced various new features, including bulk setup options, predefined schemas, data selection capabilities, and numerous job modes and statuses. With Gravity, you can spend less time managing infrastructure and more time performing data analysis, as our intelligent engine ensures your pipelines run seamlessly. Furthermore, Gravity provides integration with your existing systems for effective notifications and orchestration, enhancing overall workflow efficiency. Ultimately, Gravity equips your team with the tools needed to transform data into actionable insights effortlessly.

Slingshot is a digital workplace that combines all the best features of traditional office software to boost team performance. Only Slingshot can combine data analytics, project management, information management, chat, goals-based strategy benchmarking, and data analytics. Slingshot makes it easier to find and retrieve information, thereby creating calm and efficiency among teams, departments, clients, and external parties. Your team can use data to increase productivity and leverage actionable insights. You will achieve better results if everyone is focused on the same goals and strategies. Create a culture that encourages ownership and accountability, as well as transparency in workflow. Slingshot is being used by more and more companies to improve their workplace capabilities, increase project success, and provide a revolutionary software solution that unleashes the potential of their teams. Slingshot connects with your most important business tools, making it your project control centre.

At Progress DataDirect, we are passionate about enhancing applications through enterprise data. Our solutions for data connectivity cater to both cloud and on-premises environments, encompassing a wide range of sources such as relational databases, NoSQL, Big Data, and SaaS. We prioritize performance, reliability, and security, which are integral to our designs for numerous enterprises and prominent analytics, BI, and data management vendors. By utilizing our extensive portfolio of high-value connectors, you can significantly reduce your development costs across diverse data sources. Our commitment to customer satisfaction includes providing 24/7 world-class support and robust security measures to ensure peace of mind. Experience the convenience of our affordable, user-friendly drivers that facilitate quicker SQL access to your data. As a frontrunner in the data connectivity sector, we are dedicated to staying ahead of industry trends. If you happen to need a specific connector that we have not yet created, don't hesitate to contact us, and we will assist you in developing an effective solution. It's our mission to seamlessly embed connectivity into your applications or services, enhancing their overall functionality.

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

Streamlined data management can enhance your business's efficiency. Quickly connect, transform, and visualize your data in a scalable manner. Kleene simplifies the process of accessing data from your SaaS applications. After extraction, the data is securely stored and meticulously organized within a cloud data warehouse. This ensures that the data is cleaned and prepared for thorough analysis. User-friendly dashboards empower you to uncover insights and make informed, data-driven decisions that propel your growth. Say goodbye to the time-consuming process of creating data pipelines from scratch. With over 150 pre-built data connectors at your disposal, and the option for on-demand custom connector creation, you can always work with the latest data. Setting up your data warehouse takes just minutes, requiring no engineering skills. Our unique transformation tools speed up the building of your data models, while our exceptional data pipeline observability and management capabilities offer you unparalleled control. Take advantage of Kleene’s top-notch dashboard templates and enhance your visualizations with our extensive industry knowledge to drive your business forward even further.

Empower your enterprise data teams to effectively avert expensive outages before they happen. Rapidly expand data quality assessments across your enterprise data pipelines using streamlined, time-sensitive pushdown queries that maintain performance standards. Proactively supervise and detect data anomalies by utilizing pre-built AI models tailored for data quality, eliminating the need for manual threshold adjustments. Lightup’s ready-to-use solution ensures your data maintains optimal health, allowing for assured business decision-making. Equip stakeholders with insightful data quality intelligence to back their choices with confidence. Feature-rich, adaptable dashboards offer clear visibility into data quality and emerging trends, fostering a better understanding of your data landscape. Prevent data silos by leveraging Lightup's integrated connectors, which facilitate seamless connections to any data source within your stack. Enhance efficiency by substituting laborious, manual processes with automated data quality checks that are both precise and dependable, thus streamlining workflows and improving overall productivity. With these capabilities in place, organizations can better position themselves to respond to evolving data challenges and seize new opportunities.

DataOps ETL Validator stands out as an all-encompassing tool for automating data validation and ETL testing. It serves as an efficient ETL/ELT validation solution that streamlines the testing processes of data migration and data warehouse initiatives, featuring a user-friendly, low-code, no-code interface with component-based test creation and a convenient drag-and-drop functionality. The ETL process comprises extracting data from diverse sources, applying transformations to meet operational requirements, and subsequently loading the data into a designated database or data warehouse. Testing within the ETL framework requires thorough verification of the data's accuracy, integrity, and completeness as it transitions through the various stages of the ETL pipeline to ensure compliance with business rules and specifications. By employing automation tools for ETL testing, organizations can facilitate data comparison, validation, and transformation tests, which not only accelerates the testing process but also minimizes the need for manual intervention. The ETL Validator enhances this automated testing by offering user-friendly interfaces for the effortless creation of test cases, thereby allowing teams to focus more on strategy and analysis rather than technical intricacies. In doing so, it empowers organizations to achieve higher levels of data quality and operational efficiency.

Adobe Real-Time CDP is an enterprise customer data platform designed to centralize and activate customer information in real time. It unifies data from multiple online and offline sources, including known and anonymous interactions, into comprehensive customer and account profiles. Built on Adobe Experience Platform, it enables marketers to create dynamic audience segments for B2B and B2C campaigns across the entire funnel. The platform supports cookieless marketing strategies, helping organizations discover and engage audiences without third-party cookies. Real-time streaming capabilities accelerate data onboarding and insight generation for faster time to market. Advanced data governance tools help organizations manage consent, enforce policies, and maintain compliance. Real-Time CDP also offers specialized solutions like Collaboration and Connections to expand advertising partnerships and streamline data distribution. Seamless integration with Adobe Journey Optimizer and Customer Journey Analytics enhances personalization and performance measurement. Industry recognition from leading analysts reinforces its leadership position in the CDP space. By delivering actionable profiles ready for activation anywhere, Adobe Real-Time CDP empowers brands to create meaningful, data-driven customer experiences.

AI engineering can be transparent rather than opaque. With a suite of tools for tracing, assessment, prompt management, and more, HoneyHive emerges as a comprehensive platform for AI observability and evaluation, aimed at helping teams create dependable generative AI applications. This platform equips users with resources for model evaluation, testing, and monitoring, promoting effective collaboration among engineers, product managers, and domain specialists. By measuring quality across extensive test suites, teams can pinpoint enhancements and regressions throughout the development process. Furthermore, it allows for the tracking of usage, feedback, and quality on a large scale, which aids in swiftly identifying problems and fostering ongoing improvements. HoneyHive is designed to seamlessly integrate with various model providers and frameworks, offering the necessary flexibility and scalability to accommodate a wide range of organizational requirements. This makes it an ideal solution for teams focused on maintaining the quality and performance of their AI agents, delivering a holistic platform for evaluation, monitoring, and prompt management, ultimately enhancing the overall effectiveness of AI initiatives. As organizations increasingly rely on AI, tools like HoneyHive become essential for ensuring robust performance and reliability.