Best Web-Based Data Management Software of 2025 - Page 29

One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.

Streamline the deployment processes for SQL Server, Oracle, and an additional 18 databases to enhance both the frequency and reliability of updates. This adaptable toolchain promotes seamless integration across various teams, allowing for rapid identification of errors while accelerating development through Continuous Integration. Gain comprehensive oversight of every modification made to your databases. Redgate Deploy empowers your teams to automate database development workflows, accelerating software delivery while maintaining high-quality code. By enhancing your existing continuous delivery framework for applications and leveraging Redgate’s premier tools alongside the Flyway migrations framework, Redgate Deploy effectively integrates DevOps practices into database management. Additionally, automate your database change deployments to facilitate quicker updates through your pipeline. To ensure both quality and uniformity, Redgate Deploy offers processes that can be consistently replicated at every phase, from version control right through to live deployment, ultimately fostering a more efficient development environment. With these capabilities, teams can focus on innovation while minimizing the risks associated with database changes.

Watershed can be used to standardize and collect data from your learning ecosystem. This will allow you to automate reporting, reduce scrap and provide a single source for truth. Watershed's Learning Record Store (LRS), which collects data via xAPI and proprietary connectors, as well as a data conversion engine, eliminates the need to access siloed systems data. The learning analytics capabilities provide robust reporting options that include enterprise integration, data security, and scalability.

Azure SQL Database, a member of the Azure SQL suite, is a sophisticated and adaptable relational database service designed specifically for cloud environments. It is continuously updated, ensuring you benefit from the latest advancements, including AI-driven features that enhance both performance and reliability. With serverless computing and Hyperscale storage options, resources can effortlessly adjust according to your needs, allowing you to concentrate on creating innovative applications without the stress of managing storage or resources. This fully managed SQL database simplifies the challenges of ensuring high availability, performing tuning, handling backups, and executing other essential database management tasks. You can expedite your application development on the unique cloud platform that offers evergreen SQL, utilizing up-to-date SQL Server features while remaining free from concerns about updates, upgrades, or the end of support. Customize your modern app development experience with both provisioned and serverless compute choices, ensuring flexibility and efficiency tailored to your specific needs. This way, you can unleash your creativity while relying on a robust foundation.

Learning Objects is a cloud-based platform designed to facilitate the creation of personalized training environments. It offers features such as video on demand, virtual conferencing rooms, documentaries, refresher courses, both regulated and non-regulated training, as well as the issuance of participation certificates and the formation of student communities. Our platform is entirely in Italian and has been developed specifically for businesses, associations, and training organizations in Italy, seamlessly integrating with tools like Zoom, Webex Cisco, WooCommerce, and WordPress. What sets the Qltech approach apart in the digital marketplace is the blending of diverse skills, including transversal, technical, technological, informational, and strategic competencies. We operate as both a digital marketing agency and a software development firm, enabling us to create cutting-edge and innovative marketing projects aimed at enhancing your business growth. Additionally, we specialize in data management, customer intelligence insights, artificial intelligence-driven marketing, digital strategy development, and solutions for customer engagement. Our comprehensive services ensure that your organization is well-equipped to thrive in today's competitive landscape.

Transform your web browser into a sophisticated database modeling tool tailored for professionals, allowing for design at any complexity, whether logical or physical. With capabilities to generate DDL and migration scripts for leading database management systems, it functions similarly to Google Docs specifically for database architecture. You can create, share, and access your database models from anywhere at any time. If you already have an ongoing database project, you can easily import it into Vertabelo. Thanks to our exceptional reverse engineering tool and automated layout feature, the process has never been simpler. Furthermore, if you're eager to enhance your knowledge and skills in various domains, delve into our exclusive library that offers insights into Database Design Fundamentals, design patterns, practical database design, as well as SQL and data science online courses. This resource will enable you to expand your expertise and stay ahead in the ever-evolving landscape of database management.

MemCachier efficiently manages and scales clusters of memcache servers, allowing you to concentrate on developing your application. Our tailored memcache solution not only enhances reliability and usability compared to traditional memcached, but it also maintains the same low latency performance. Simply specify your memory requirements and begin your journey with a free trial immediately. As your needs evolve, you can seamlessly increase capacity without the need for code modifications. MemCachier stands out as the quickest and most dependable version of memcache, serving as an in-memory, distributed caching system. Specifically crafted for cloud users, MemCachier is built to be user-friendly, more resilient, robust, and cost-effective compared to other options like memcached. By opting for MemCachier, you gain the benefits of rapid response times similar to memcached, while conserving both developer resources and time. You can initiate your experience with a complimentary 25MB and easily upgrade whenever you feel it is necessary, ensuring flexibility as your application grows. This makes it an ideal choice for developers seeking efficiency and reliability in their caching solutions.

Graphlytic is a web-based BI platform that allows knowledge graph visualization and analysis. Interactively explore the graph and look for patterns using the Cypher query language or query templates for non-technical users. Users can also use filters to find answers to any graph question. The graph visualization provides deep insights into industries such as scientific research and anti-fraud investigation. Even users with little knowledge of graph theory can quickly explore the data. Cytoscape.js allows graph rendering. It can render tens to thousands of nodes and hundreds upon thousands of relationships. The application is available in three formats: Desktop, Cloud, or Server. Graphlytic Desktop is a Neo4j Desktop app that can be installed in just a few mouse clicks. Cloud instances are great for small teams who don't want or need to worry about installing and need to be up and running quickly.

VelocityDB stands out as a unique database engine, renowned for its ability to store data more quickly and efficiently than any competing solutions while being significantly more affordable. Unlike traditional databases that rely on mapping to tables, JSON, or XML, it retains .NET objects in their native format. Complementing this is VelocityGraph, an open-source property graph database that seamlessly integrates with the VelocityDB object database. As a C# .NET noSQL object database, VelocityDB is enhanced by VelocityGraph, making it one of the fastest, most scalable, and flexible database options available today. Bugs that are reported along with reproducible test cases are typically resolved within a week, showcasing the responsiveness of the development team. The primary advantage of using this database system lies in its remarkable flexibility, enabling developers to tailor their applications to meet even the most specific requirements. With VelocityDB, you have the freedom to select the most suitable data structures for your needs, granting you control over the persistent placement of data, as well as how it is indexed and accessed. This level of customization sets VelocityDB apart in the realm of database technology.

InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. This can allow InfiniteGraph to perform like an in-memory graph database. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other graph databases.

data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.

KgBase, short for Knowledge Graph Base, is a powerful collaborative database that features version control, analytics, and visualization tools. It enables individuals and communities to craft knowledge graphs that help derive insights from their data. Users can seamlessly import CSV files and spreadsheets or utilize the API for collaborative data work. With KgBase, you can create knowledge graphs without any coding, thanks to an intuitive user interface that allows for easy navigation of the graph and the display of results in tables, charts, and more. Engage with your graph data interactively; as you construct queries, the results are updated in real time, making the process much simpler than traditional query languages like Cypher or Gremlin. Additionally, your graph data can be represented in tabular form, so you can easily explore all results, regardless of the dataset size. KgBase is designed to handle both extensive graphs with millions of nodes and smaller projects effortlessly. Whether you prefer cloud hosting or self-hosting, it supports a diverse range of databases. You can introduce graph capabilities to your organization by starting with pre-existing templates. Moreover, any query results can be quickly transformed into visual chart representations, enhancing the interpretability of your data insights. This flexibility and ease of use make KgBase an ideal choice for anyone looking to leverage the power of knowledge graphs in their data analysis endeavors.

Infatica operates a worldwide peer-to-business proxy network. By leveraging the idle time within our P2P network, we connected millions of devices across the globe. The project was intricate and required significant resources. Nevertheless, we successfully developed a system primarily utilizing NodeJS, Java, and C++. Consequently, we handle more than 300 million client requests daily, ensuring satisfaction and reliability for our users. Currently, numerous Infatica clients are utilizing our proxies for legitimate business purposes as well as personal projects. Our residential proxy network supports organizations in enhancing their products, conducting audience research, testing applications and websites, combating cyber threats, and much more. We are committed to ensuring that our proxies are not misused for harmful activities. Additionally, clients can opt for a fixed monthly rate per IP address with reduced usage fees or choose to pay by the gigabyte for our residential Socks5 service, allowing flexibility that meets diverse needs. This approach not only maximizes efficiency but also caters to the evolving demands of our user base.

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

StatHat offers comprehensive time series visualizations of your statistics, allowing you to analyze various metrics from the last hour to the last decade. With the precision of a vigilant eagle observing from its high perch, StatHat monitors your data and promptly alerts you if any anomalies arise. There is no setup required, enabling you to easily track the trajectory of your statistics. The platform examines your data meticulously and generates forecasts for the next month. Additionally, StatHat seamlessly integrates with tools like Status Board, PagerDuty, Slack, and Campfire, and it features an API that supports both datasets and alerts. Implementing StatHat into your applications is a breeze, requiring just a single line of code. We provide libraries for 16 programming languages, along with tailored code snippets that you can readily incorporate into your projects. StatHat is entirely free for up to 10 statistics, while unlimited usage is available for a monthly fee of $99, which allows for up to 10,000 unique stats, eliminating the need for intricate plans or tiers to manage. Furthermore, the user-friendly nature of StatHat ensures that even those with minimal technical experience can harness its powerful capabilities effortlessly.

Consolidate offline data, import various files, and meticulously process and refine the information. With just a single click, you can export everything to a live database, thereby optimizing your data workflows. Centralize offline information, ensuring that your team can easily access it. Transfer offline files to Dropbase in multiple formats, accommodating any preferences you may have. Process and format your data seamlessly, allowing for additions, edits, reordering, and deletions of processing steps as needed. Enjoy the convenience of 1-click exports, whether to a database, endpoints, or downloadable code. Gain instant REST API access to securely query your Dropbase data using REST API access keys. Onboard your data wherever necessary, and combine multiple datasets to fit your required format or data model without needing to write any code. Manage your data pipelines effortlessly through a user-friendly spreadsheet interface, tracking every step of the process. Benefit from flexibility by utilizing a library of pre-built processing functions or by creating your own as you see fit. With 1-click exports, you can easily manage databases and credentials, ensuring a smooth and efficient data management experience. This system empowers teams to work more collaboratively and efficiently, transforming how they handle data.

SQLFlow offers a comprehensive visual overview of data flow through various systems. It automates the analysis of SQL data lineage across a multitude of platforms, including databases, ETL processes, business intelligence tools, and environments like cloud and Hadoop, by effectively parsing SQL scripts and stored procedures. The tool graphically illustrates all data movements, supporting over 20 leading databases and continuously expanding its capabilities. It allows for automation in lineage construction regardless of the SQL's location, whether in databases, file systems, or repositories such as GitHub and Bitbucket. The user-friendly interface ensures that data flows are presented in a clear and easily understandable manner. By providing complete visibility into your business intelligence environment, it aids in pinpointing the root causes of reporting errors, fostering invaluable confidence in business processes. Additionally, it streamlines regulatory compliance efforts, while the visualization of data lineage enhances transparency and auditability. Users can conduct impact analysis at a detailed level, enabling a thorough examination of lineage down to tables, columns, and queries. With SQLFlow, you can seamlessly integrate powerful data lineage analysis capabilities into your product, thereby elevating your data management strategy. This tool not only simplifies complex tasks but also empowers teams to make informed decisions based on reliable insights.

In today’s data-driven landscape, the quest for data often consumes more time than the actual analysis itself. Azure Data Catalog serves as a comprehensive metadata repository designed to simplify the process of discovering data assets across the enterprise. This fully-managed service empowers users—from analysts to data scientists and developers—to register, enhance, locate, comprehend, and utilize various data sources effectively. You can engage with data using your preferred tools, as Data Catalog enables you to access the information you require and integrate it seamlessly into your workflows. Your data remains where you prefer, while Data Catalog facilitates the exploration and utilization of that data in a user-friendly manner. By promoting widespread adoption and fostering ongoing value creation within your data ecosystem, Data Catalog provides useful insights, practical tips, and unwritten guidelines within a shared platform that benefits all users. With this tool, contributions from everyone are encouraged, leading to a democratization of data asset discovery that enhances collaborative efforts. This collective engagement ultimately transforms how organizations leverage data, paving the way for innovation and efficiency.

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

Hurree is more than a dashboard platform, it is the beating heart of your data ecosystem. Our goal is to transform the way businesses centralize, visualize, and collaborate on their data. At Hurree, we've simplified your analytics process, fostering collaboration, and delivering impactful results all within a single, intuitive platform. Say goodbye to countless hours spent piecing together data from various tools and platforms. Hurree centralizes your data, providing up-to-date insights with dynamic and customizable dashboards. From Meta and TikTok to Salesforce and HubSpot, we empower you to be your own data analyst and navigate your data ecosystem. But that's not all. With our powerful AI assistant, Riva, we've added an extra layer of AI capabilities to your dashboards. Features like predictive analytics, chatbot capabilities, and summarized outputs make Riva a true data partner, offering actionable insights like never before. Join us on our mission to empower businesses with data-driven insights, fostering a data-driven culture within teams, and making strategic decisions easier. Harness the power of machine learning to bring your data to life with Riva by Hurree.

Bipp's cloud BI platform, built on the innovative bippLang data modeling language, was crafted specifically for SQL and data analysts from its inception. It enhances productivity for teams, equipping businesses to make quicker and more informed decisions. The bippLang data modeling language simplifies SQL queries by enabling the creation of reusable, intricate data models that incorporate custom columns and dynamic sub-queries. With Git-based version control, analysts can work collaboratively, ensuring that all data models and SQL queries are consistently backed up. The always-free version provides access to a robust BI platform with professional support at no charge. In-database analytics eliminates the need to transfer data to another system, accelerating access and yielding real-time results. The auto-SQL generator intelligently utilizes defined joins in the data model to determine which tables to combine and dynamically generates sub-queries based on the context. Furthermore, the single source of truth data models guarantee that every individual in the organization relies on identical data for their business decisions, fostering consistency and reliability across the board. This comprehensive approach not only enhances collaboration but also solidifies the foundation for smarter strategic planning.

Tableau Prep revolutionizes traditional data preparation within organizations by offering an intuitive visual interface for data merging, shaping, and cleansing, enabling analysts and business users to initiate their analysis more swiftly. It consists of two key products: Tableau Prep Builder, designed for creating data flows, and Tableau Prep Conductor, which facilitates the scheduling, monitoring, and management of those flows throughout the organization. Users can leverage three different views to examine row-level details, column profiles, and the overall data preparation workflow, allowing them to choose the most appropriate view based on their specific tasks. Editing a value is as simple as selecting it and making changes directly, while modifications to join types yield immediate results, ensuring real-time feedback even with extensive datasets. Every action taken allows for instant visualization of data changes, regardless of the volume, and Tableau Prep Builder empowers users to reorder steps and experiment freely without risk. This flexibility fosters a more dynamic data preparation process, encouraging innovation and efficiency in data handling.

Tomorrow.io stands out as the sole Weather Intelligence Platform™ in the world, offering bespoke solutions tailored to various sectors affected by weather conditions. Companies globally, such as the NFL, Uber, Delta, Ford, and National Grid, leverage Tomorrow.io to enhance their operational effectiveness significantly. The platform is designed from the ground up to assist organizations in forecasting the weather's impact on business operations, facilitating better team communication and actionable strategies, boosting overall productivity, and maximizing profit margins. Instead of being static, weather data can be transformed into dynamic insights. Users can centralize critical information, including key locations, weather thresholds, established rules, protocols, and response strategies, all within a single, user-friendly interface. By integrating historical, real-time, and predictive weather data from around the world, efficiency is optimized. Tomorrow.io features an interactive map that illustrates over 30 weather and air quality metrics, allowing users to monitor and visualize weather patterns through color-coded layers, complemented by both short-term and long-term forecasting timelines. This comprehensive approach empowers businesses to make informed decisions in the face of weather variability.

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.

Enterprise Recon by Ground Labs is a leading, award-winning solution that empowers organizations to confidently discover, manage, and remediate sensitive personal data across their entire digital estate—from legacy systems to the modern cloud. Our technology provides the unparalleled visibility needed to reduce risk, simplify compliance, and maintain a strong security posture globally. Unmatched Discovery and Accuracy Powered by GLASS™ At the core of Enterprise Recon is GLASS Technology™, Ground Labs' proprietary pattern-matching engine. This is a crucial differentiator, designed specifically for data discovery: Fastest and Most Accurate: GLASS Technology™ allows Enterprise Recon to deliver the fastest and most accurate sensitive data discovery on the market, dramatically minimizing system overheads and the most common complaint in the industry: false positives. Deep Search Capabilities: It performs sophisticated, deep searches for over 300 pre-configured, out-of-the-box data types across various formats, including databases, documents, emails, compressed files, and even in-memory data, ensuring no sensitive asset is missed. Customization: Enables complete customisation of sensitive data types, enabling organizations to search for proprietary or highly-specific data patterns unique to their business or industry. Comprehensive Platform and Deployment Coverage Enterprise Recon is engineered for the complex, heterogeneous environments of the modern enterprise, offering unparalleled breadth in platform support: Broad OS Support: Supports sensitive data discovery on an extensive range of operating systems, including common platforms like Windows, macOS, and Linux, as well as legacy and specialized systems such as FreeBSD, Solaris and AIX