Best Data Management Software for Government - Page 23

dbForge Data Generator for SQL Server is a robust tool crafted to assist database professionals in creating high-quality test data in any amount within short time. Key Features: - Generation of meaningful test data: IDs, phone numbers, credit card numbers, email addresses, postcodes, and more - Extensive predefined and custom generators: use over 200+ predefined generators or create unlimited custom generators - Data integrity support: Maintain inter-column data dependencies. - Versatile data generation: Generate data for all column types, including XML, datetime, etc. - Automation capabilities: Automate tasks using the command line interface. - Task scheduling: Schedule tasks with PowerShell. - Integration with SSMS: Incorporate data generation functionality directly into SSMS. dbForge Data Generator for SQL Server empowers testers to generate large volumes of data with flexible configurations, ensuring the correct data types for testing database operations and applications. Its integration with SSMS allows database specialists to seamlessly integrate data generation features into their preferred integrated development environment (IDE).

dbForge Data Compare for SQL Server is a specialized tool for comparing table data in SQL Server databases. Its user-friendly graphical interface allows users to quickly master its functions and perform tasks without writing code. Key Features: - Supports SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries. - Detects changes effectively and exports results as CSV, HTML, and Excel files. - Offers full-text data search, easy navigation, sorting, and filtering for viewing results. - Restores missing or damaged data down to a single row from native backups. - Synchronizes data through wizards, allowing for deployment of selected or all changes. - Generates data deployment scripts that can be executed directly or saved for recurring use. - Deploys to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS. - Automates routine data comparison and synchronization tasks via a command-line interface. dbForge Data Compare integrates seamlessly with SQL Server Management Studio, enhancing its default functionality within a familiar interface.

You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.

VirtlX, a SaaS solution that can be customized to support multi-industry business performance is available to all businesses. VirtlX provides a strong ROI and quantifiable deliverables & insight to help in decision-making towards a people-centric and successful business. A simple approach to employee and customer sentiment, as well as in-house training. Flexible commitment terms and cost-effective subscription model. To be successful in marketing, a company must understand customer engagement, feedback, experience, and loyalty patterns. VirtlX is a time-saving and cost-effective method that allows marketing personnel to gather these data points in real time and present this data in clear graphical formats. It has been proven that revenue growth is correlated with the Net Promoter Score (NPS), or Net Promoter Score (NPS). It is widely used by Fortune 500 companies as well as other organizations.

AQT is a multi-database query and admin tool designed for DBAs, database developers and data analysts. AQT uses a native ODBC interface that runs reliably and efficiently against databases of all sizes. It has been specifically customized for over 30 dufferent database types and displays more information about your database than any other product on the market. It is in use in a large number of sites running DB2 z/OS and many customers have commented that it is by far the best product with that database. But not just DB2 z/OS, but also Oracle, SQL Server, MySQL, PostgreSQL and others. Data analysts will enjoy the SQL editor, SQL history, graphical query builder, table editor, data export and charting features. DBAs and developers will be delighted with generate DDL, object compare/resync, data compare/resync, data loader, create/alter/manage objects, visual explain and system monitor.

Leverage our vast network of over 35 million datacenter and residential IP addresses from various global ISPs, featuring real devices, smart retries, and IP rotation. Select from more than 100 global locations for your web scraping API requests, or opt for random geo-targets that cover numerous major cities around the world. The scrapestack API is designed to provide a straightforward REST API interface for large-scale web page scraping, eliminating the need to manually manage geolocations, IP blocks, or CAPTCHAs. It includes a range of essential web scraping functionalities, such as JavaScript rendering, customizable HTTP headers, diverse geo-target options, and support for POST/PUT requests, along with the choice to utilize premium residential proxies as an alternative to datacenter proxies. Additionally, this API is tailored to enhance your web scraping experience by ensuring reliability and efficiency.

Mage is a powerful tool designed to convert your data into actionable predictions effortlessly. You can construct, train, and launch predictive models in just a matter of minutes, without needing any prior AI expertise. Boost user engagement by effectively ranking content on your users' home feeds. Enhance conversion rates by displaying the most pertinent products tailored to individual users. Improve user retention by forecasting which users might discontinue using your application. Additionally, facilitate better conversions by effectively matching users within a marketplace. The foundation of successful AI lies in the quality of data, and Mage is equipped to assist you throughout this journey, providing valuable suggestions to refine your data and elevate your expertise in AI. Understanding AI and its predictions can often be a complex task, but Mage demystifies the process, offering detailed explanations of each metric to help you grasp how your AI model operates. With just a few lines of code, you can receive real-time predictions and seamlessly integrate your AI model into any application, making the entire process not only efficient but also accessible for everyone. This comprehensive approach ensures that you are not only utilizing AI effectively but also gaining insights that can drive your business forward.

RisingWave is an open-source distributed SQL streaming database released under Apache 2.0 license. RisingWave is PostgreSQL-compatible, and allows users to process streaming data using standard SQL. Written in Rust and designed with cloud-native architecture, RisingWave can achieve 10X better performance and cost efficiency compared to conventional stream processing systems. RisingWave Cloud is a fully managed cloud service. Users can leverage RisingWave Cloud to process streaming data and serve analytical queries at ease.

Match2Lists provides the quickest, simplest, and most precise solution for matching, merging, and de-duplicating your data. With our Match2D&B feature, you can seamlessly enhance your datasets with Dun & Bradstreet information whenever needed. Within a matter of minutes, you can rid your data of duplicates and integrate disparate raw data into impactful insights. Our primary goal is to achieve the highest match results possible for our clients. Before we developed Match2Lists, we operated analytics and data visualization firms, utilizing various "fuzzy" matching software available in the industry. Frustrated by their inadequate match outcomes, we dedicated ten years to crafting the most sophisticated data matching algorithms. Our secondary goal is to optimize time: we aim to allow our clients to devote less time to data matching and cleansing, and instead focus on analysis and execution. This led us to implement our cutting-edge matching logic on the fastest in-memory cloud computing infrastructure we could find, which can process 200 million records in just 30 seconds. Now, businesses can enjoy enhanced productivity and make informed decisions rapidly.

Variance serves as the intersection for both individual and team selling within your organization. As the founder, you oversee the product, manage sales, and even handle the less glamorous tasks at the end of the day. While success in this area is achievable, the pace of growth will inevitably decelerate without scaling your market-entry strategies. Your goal is to onboard each customer efficiently, gather their insights, and quickly ascertain their likelihood of renewal. With Product/Market Fit established, you've integrated technological interactions with your clients and can partially automate certain sales processes. Additionally, you're beginning to recruit salespeople to address the increasingly complex inquiries you receive, as competition heightens and the market expands rapidly. The reality is that your product cannot rely solely on its merits to sell itself; you must expedite deal closures and explore new market opportunities. Thus, it's crucial to expand your sales team to meet these evolving demands. In doing so, you'll position your company for sustained growth and adaptability in a competitive landscape.

Treblle is a federated API Intelligence platform that unifies API visibility, governance, and security in a single enterprise-grade solution. Designed for complex environments, Treblle connects seamlessly through one integration and supports deployment on-prem or in private cloud—meeting even the strictest regulatory and data residency requirements. Once integrated, Treblle instantly maps your entire API landscape with automatic discovery, generating real-time inventories and eliminating shadow APIs. Its observability tools track every request and response, surfacing performance issues, anomalies, and SLA breaches across all services. Advanced analytics give teams insights into traffic, latency, endpoint usage, and client behavior, making debugging, optimization, and scaling easier and 15 times faster. Security is built-in, not bolted on. Treblle provides runtime protection, threat detection, schema validation, and governance policies to safeguard APIs across environments. It empowers DevOps and platform teams to implement shift-left strategies and enforce consistent practices across the lifecycle. With its AI-powered Integration Assistant, Treblle simplifies onboarding and improves developer workflows. Whether you’re running internal microservices or customer-facing APIs, Treblle gives you the clarity and control to move faster, reduce risk, and scale with confidence.

Tricent is the #1 file-sharing governance SaaS platform that enables more secure and compliant file sharing within Microsoft 365 (Teams, OneDrives & Sharepoint drives) and Google Workspace (MyDrives & Shared Drives) so you can keep collaborating responsibly. Tricent puts the responsibility of proper file-sharing management in the hands of administrators as well as every member of the organization who shares files: 🚀 Onboard in less than 30 Minutes. ricent gets you up and running swiftly so you can focus on what matters most. 🔍 Get Insights: From day one, gain a comprehensive overview of all files shared and permissions granted—across both personal drives and shared drives. ⭕️ Do Bulk Remediation: Our admin-friendly cleanup tools allow you to tackle file sprawl efficiently. 😇 Empowering End-Users Responsibly: We use automation to involve your employees in the cleanup process. They can continue collaborating while maintaining compliance. 💪🏼 Customizable Governance Policies: Set different cycles for different user groups. Tricent adapts to your unique needs, ensuring flexibility without compromising control. 🔮 Stay Ahead with Abnormality Detection.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Retable is a versatile online spreadsheet and database tool that makes organizing and collaborating on data easy. Whether you're running a small business, a large organization, or an NGO, Retable is the perfect solution for managing all your personal, business, technical, and functional information in one place. With Retable, you can work holistically and in sync with all your data, making it easy to coordinate, evaluate, create, schedule, and build. With its streamlined and user-friendly interface, Retable is ideal for small and large businesses, as well as organizations that rely on collaborative working methods. Try Retable today and experience the convenience of having all your data in one easy-to-use platform.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

AIMLEAP is a global technology consultancy and service provider certified with ISO 9001:2015 and ISO/IEC 27001:2013 certification. We provide AI-augmented Data Solutions, Digital IT, Automation, and Research & Analytics Services. AIMLEAP is certified as 'The Great Place to Work®'. Our services range from end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, and Web Data Scraping to Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions, with a focus on AI and an automation-first approach. Since 2012 we have been successful in delivering projects in automation-driven data solutions, IT & digital transformation, and digital marketing for 750+ fast-growing companies in Europe, the USA, New Zealand, Canada, Australia, and more. - An ISO 9001:2015 and ISO/IEC 27001:2013 certified - Served 750+ customers - 11+ Years of Industry Expertise - 98% Client Retention - Great Place to Work® Certified - Global Delivery Centers in the USA, Canada, India & Australia.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

DbGate features a robust data browser and editor that enables users to efficiently locate or alter data, even when navigating complex relationships. Typically, utilizing this data browser is significantly more effective than manually entering a query or employing a query designer, although all these methods are indeed available within DbGate as well. The database comparison tool stands out due to its impressive speed, leveraging cached database models to enhance performance compared to other tools in the market. Users have the ability to explore and filter various database objects by their type, such as tables, views, and stored procedures, as well as by their comparison status, including whether they are equal, changed, added, or removed. Additionally, you can choose specific objects for synchronization with the target database, with a deployment script preview presented for user confirmation prior to execution. Furthermore, you have the option to download the database model as a collection of YAML files, each representing the structure of individual tables, along with SQL files that detail other database objects like views and procedures, ensuring comprehensive documentation of the database environment. This makes DbGate not only a powerful tool for immediate database management tasks but also a valuable resource for maintaining structured database documentation.

NewsCatcher addresses the frustrations of inconsistent news data and poor integration. We provide clean, normalized, near-real-time articles from 70,000+ global sources, including hyper-local coverage. Covering over 98% of each website, we extract all essential data points, ensuring you get the critical information you need. We enrich this data by adding sentiment scores, detecting named entities, summarizing, classifying, deduplicating, and clustering similar articles. This maximizes the value of news content while reducing post-processing time and costs. NewsCatcher helps enterprises seamlessly integrate news insights into workflows by building custom pipelines with LLM fine-tuning, resulting in a clean, relevant feed with a low false-positive rate. Customers gain full transparency into our data collection and the models we use. We offer monitoring services to ensure customers understand our system’s operation and responsiveness to new data sources, including detailed explanations of the models and embeddings applied.

Weaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development.

Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Users build recommendation applications on Vespa, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.

The myway SQL Manager provides a powerful tool for MySQL and MariaDB database programming and administration. The program is available for free download and use. Operation on the Intranet, or Internet. Web-based. Fully Ajax controlled, built in PHP and Javascript. All modules are speed-optimized. 132 languages. Tab controlled. Work on multiple databases or tables at once. Backup copies are recommended in the event of deletion or changes to views and routines. User management with Program Rights Configuration options to customize program settings and user layout. Own server connections with individual edit rights for users. Unlimited number of MySQL or MariaDB database connections. Connected servers offer extensive information and editing options. Editing tables, views, sequences, procedures, functions and triggers. Backup and recovery. Data import and export. Search and replace, syntax highlighting and a powerful SQL editor. Search function for database elements. Helplinks.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Save hours by developing and maintaining ETL/ELT pipelines using an easy-to use environment that allows for effortless debugging. Visualize changes before deployment to simplify development, accelerate testing, and reduce debugging. Work with Python and our simple interface to foster team collaboration and save valuable time during the most difficult development stages. Consolidate data in any format, from any source and any size with no hesitations. Ensure the most accurate data by utilizing error flagging and debugging in real-time within specific data processes as well as across pipelines. Use compute, storage and network bandwidth to auto-scale infrastructure as data volume and speed increase. Real-time data observability can help you identify and pinpoint problems. Zoom in and thoroughly troubleshoot your data pipelines.

Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows. Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise. It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.