Best Web-Based Data Management Software of 2025 - Page 60

Safyr® significantly minimizes the time, expenses, and resources associated with discovering ERP metadata, achieving an impressive reduction of up to 90%. Before effectively utilizing metadata from prominent ERP and CRM solutions like SAP, Salesforce, Oracle, and Microsoft, users face three key obstacles that must be surmounted. Failing to address these challenges swiftly can lead to delays, increased costs, failures in delivery, and in severe situations, the cancellation of projects altogether. Once the necessary metadata is pinpointed for your initiative, it becomes crucial to leverage it for setting up additional environments, which may include data cataloging, governance platforms, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The primary goal of developing Safyr® was to empower users to significantly accelerate the value they derive from their projects, which incorporate data from major ERP and CRM systems, by providing efficient and cost-effective solutions to these challenges. By streamlining the metadata discovery process, Safyr® ensures that organizations can focus more on their core objectives rather than getting bogged down by technical issues.

Veracity Data Fabric serves as a secure environment for managing data in both cloud and on-premise settings. It enables users to centralize all types of information, ranging from data streams to discrete data objects, facilitated by secure sharing options. Users have the flexibility to either work with their own data or integrate it with various other datasets, leaving the choice entirely up to them. Our platform offers robust security technology and access to a wide array of data and analytics providers relevant to multiple industries, allowing users to determine how and when they engage with these resources. Data sharing is managed through SAS (shared access signature) keys, which enable users to control access permissions effectively. Additionally, all activities concerning the data stored in the container are logged in a ledger, allowing the container owner to monitor and review actions. Importantly, these keys can only be distributed to other users who have been authorized on the platform, ensuring a high level of security and data integrity. This comprehensive approach empowers users to maintain control over their data while fostering collaboration when desired.

The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.

InfinityDB Embedded is a NoSQL database written in Java, designed as a hierarchical sorted key-value store. Its features include high performance, multi-core capability, flexibility, and a maintenance-free operation. In addition to the embedded version, InfinityDB now offers an Encrypted database and a Client/Server database. Customer feedback and performance evaluations indicate that InfinityDB delivers the highest performance in its class: its multi-core overlapping operations demonstrate nearly linear scalability with thread count, employ fair scheduling, and maintain very low inter-thread interference. Furthermore, random I/O performance improves logarithmically with file size, with no upper limit on size, while caches expand only as necessary and are efficiently packed. Notably, opening the database is instantaneous, even after an unexpected shutdown, ensuring minimal downtime and quick recovery. With these attributes, InfinityDB stands out as a top choice for developers seeking reliability and speed in their database solutions.

Setting up an instance with openredis is both quick and straightforward, as we take care of all the complex tasks on your behalf. Simply select a plan that fits your requirements, and feel free to switch to a larger plan whenever necessary. Upon upgrading, a new instance will be created and synchronized with your current instance, while the existing one will remain operational for an hour to ensure that the upgrade process causes minimal disruption. In situations where severe weather or other natural calamities are anticipated, we proactively create additional replicas in different regions to maintain service continuity. Our goal is to deliver the most dependable hosting solutions available. Every plan includes a backup replica, which automatically takes over as the primary instance in the event that your original goes offline, allowing for a quick restoration of service redundancy, typically within minutes. We are committed to ensuring that our customers experience seamless performance at all times.

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

Cube serves as a comprehensive platform that establishes a universal semantic layer aimed at streamlining and consolidating the management and analysis of enterprise data. By revolutionizing data management practices, Cube removes the challenges associated with inconsistent models and metrics, thereby providing users with reliable data that is also primed for AI applications. This innovative platform is instrumental for organizations seeking to expand their data infrastructure by harmonizing various data sources and generating uniform metrics applicable across different teams. Tailored for enterprises, Cube enhances analytical capabilities, ensures data accessibility, and facilitates effortless access to AI-driven insights. With Cube, companies can navigate the complexities of data management more effectively than ever before.

Delivers comprehensive solutions for GDPR, CCPA, LGPD, and other privacy regulations, facilitating effective management of privacy-related tasks while ensuring compliance with legal standards. Streamlines your privacy management initiatives, minimizing the need for manual involvement to achieve compliance. Incorporates smart analytics to evaluate and identify risks, along with recommendations for effective mitigation strategies. The advanced dashboard and reporting features enhance visibility, supporting informed decision-making processes. With ready-to-use PIA/DPIA question templates, automated workflows, and notification setups, you can conduct regular assessments while effectively collaborating with business units and IT. Surveys driven by workflows are designed to pinpoint systems and sources of personal data, aiding in the generation of "Record of Processing Activities (RoPA)." It also includes predefined steps to maintain an efficient data inventory. Furthermore, the approach automates the fulfillment of Data Subject Access Requests (DSAR), supported by integrated workflows and robust data discovery capabilities, making privacy management smoother and more effective than ever. This comprehensive solution not only simplifies regulatory compliance but also empowers organizations to proactively manage their privacy obligations.

Uncover your data, evaluate potential risks, and keep an eye on unusual access patterns to streamline protection, enhance transparency, and improve response times, all through a single platform. Focus on bolstering investments in data privacy and protection initiatives, including policies, processes, and programs. Assess the value across various domains by utilizing metadata from specific database sources to provide insights into risk visibility. Establish a comprehensive subject registry and automate identity mapping to effectively manage data subject access requests (DSARs). Deliver thorough summaries through APIs that connect with third-party solutions, implementing controls for data objects and beyond. Identify the locations of sensitive data as well as its movement to different data repositories and cloud applications. Address risks based on their priority, simulate potential threats to evaluate impacts for informed decision-making, and introduce relevant controls. Leverage an extensive selection of dashboard drill-downs for a comprehensive view of data risks and control deficiencies. Additionally, generate integrated reports on data subjects, automate risk mitigation efforts, and utilize visualizations and alerts to maintain a proactive stance in data management. This approach ensures a holistic strategy for safeguarding sensitive information while navigating the complexities of data protection.

We empower retailers to advocate for their customers' privacy rights without sacrificing conversion rates or complicating the processing of Subject Access Requests (SARs). Transform your privacy settings into a benchmark for exceptional user experience and customer service. Ensure that customers have straightforward access to user-friendly privacy settings. Create a centralized hub for all customer privacy concerns, where they can manage their preferences easily. Offer transparent, comprehensible explanations regarding the data you gather and its intended use, fostering trust in your brand. Instead of an all-or-nothing consent model, which is detrimental to both parties, provide options for customers to selectively opt-in or out of specific data collection practices, enhancing their sense of control and potentially boosting your conversion rates. Supply a simple, clear report that illustrates the data you have collected, how it is utilized, and the measures in place to safeguard it. By streamlining your response to Subject Access Requests (SARs), you can improve your customers’ privacy experience while also simplifying the workload for your team. Ultimately, a well-managed privacy framework not only benefits customers but also strengthens your business’s reputation and reliability.

SAP Integration Suite is a robust integration platform as a service (iPaaS) that facilitates the seamless connection of both on-premise and cloud-based applications and processes through a variety of tools and prebuilt content curated by SAP. By utilizing these tools and prebuilt resources, organizations can effectively tackle a wide array of integration challenges, which encompass integration flows, connectivity to third-party solutions, and managing APIs. This platform enables enterprises to connect and personalize experiences, fostering a culture of innovation that begins with integration. It empowers users beyond just central IT, allowing for greater flexibility and creativity in integration processes. The iPaaS solution provides a cloud service designed for various integration scenarios, including application, data, process, and service-oriented architecture (SOA) integrations. As a multitenant platform, it supports diverse integration types such as cloud-to-cloud, cloud-to-on-premise, on-premise-to-on-premise, and B2B integration. Moreover, it is optimized for real-time integration, ensuring that it can scale to accommodate the high-volume demands of mobile applications and electronic data interchange environments, thus enhancing operational efficiency across the board. This versatility makes SAP Integration Suite an essential tool for organizations looking to streamline and enhance their integration strategies.

Ohalo's Data X-Ray platform automates data governance tasks like discovering, mapping, and redacting files containing sensitive, and personal information. Our customers rely on it for file activity monitoring, security enhancement, and privacy compliance. Data X-Ray connects seamlessly to all data sources, on-premises or in the cloud, enabling a comprehensive understanding of files across all storage locations. Moreover, Ohalo possesses the flexibility to develop custom connectors for individual data sources, whether they are bespoke or legacy, upon request. End-To-End Document Management Software. Data X-Ray uses machine learning and natural language processing to uncover unknown or forgotten data, ensuring compliance with privacy and security regulations. It helps eliminate unnecessary records, reducing storage costs. Get Data X-Ray: One Platform, Universal Insight.

Bodo's robust computing engine, combined with its parallel processing methodology, ensures efficient performance and seamless scalability, accommodating over 10,000 cores and petabytes of data effortlessly. By utilizing standard Python APIs such as Pandas, Bodo accelerates the development process and simplifies maintenance for data science, data engineering, and machine learning tasks. Its bare-metal native code execution minimizes the risk of frequent failures, allowing users to identify and resolve issues before they reach the production stage through comprehensive end-to-end compilation. Experience the agility of experimenting with extensive datasets directly on your laptop, all while benefiting from the intuitive simplicity that Python offers. Moreover, you can create production-ready code without the complications of having to refactor for scalability across large infrastructures, thus streamlining your workflow significantly!

A comprehensive strategy for identifying, managing, and safeguarding personal information is essential. Customers and employees rely on your commitment to protect their personal data, and compliance with regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) is crucial to avoid significant fines. Consequently, implementing the appropriate technology is vital for this task. SAS offers support throughout the entire journey, from accessing various data sources to conducting thorough audits. To achieve the high standards of data protection necessary for regulatory compliance, it is imperative to first identify and securely access your data. You should be able to locate information across multiple systems and networks, discern personal data, and categorize the various types of data at your disposal, all within a single, cohesive platform. Furthermore, the ability to integrate and analyze data from diverse file formats, including unstructured or poorly structured data types like social media interactions and web logs, enhances your overall data governance strategy. This holistic approach not only ensures compliance but also fosters trust with stakeholders.

Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.

Revamp your applications to ensure they adhere to local compliance and security standards. Align your control measures and enhance your compliance framework while still utilizing the benefits of the cloud. Allow your customized applications to satisfy data residency mandates with little to no additional development effort. Expand into new markets and boost your revenue without compromising your customers' experience. The InCountry platform guarantees that your financial services applications remain compliant with data regulations across multiple countries, enabling you to maximize their potential. Safeguard your journey towards precision medicine with an advanced data compliance solution. Speed up research initiatives and reduce the time to discovery with healthcare-centric offerings from InCountry. Seamlessly enter new markets and generate revenue while maintaining an uninterrupted customer experience. Additionally, the InCountry platform ensures that your sales operations consistently align with local data regulations, fostering trust and reliability.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

Many database migration tools tend to be tied to specific frameworks, often making them difficult to install, configure, and use effectively for migration writing. However, with Phinx, you can install it and start your first migration in under five minutes. This versatile tool allows migrations to be written in both PHP and SQL, giving you the flexibility to choose PHP syntax for portability across various database systems or to create custom advanced queries as needed. Because Phinx operates via the command line, it seamlessly fits into your deployment, building, or continuous integration processes. It is also completely free and open-source, encouraging developers to fork, modify, and enhance its capabilities. If you decide to use Phinx in a commercial setting, consider supporting its development through a donation or by purchasing the introductory screencast, which can provide valuable insights into its usage. Additionally, Phinx boasts comprehensive documentation, ensuring that users can find the guidance they need to make the most of this powerful tool. Ultimately, the user-friendly nature of Phinx makes it a compelling choice for developers seeking an efficient migration solution.

Access a complete set of Azure migration tools and guidance to effectively plan and execute your transition to the cloud, while monitoring your progress through a centralized dashboard that offers smart insights. The platform supports critical migration scenarios, encompassing servers, data, databases, web applications, and virtual desktops. It features extensive discovery, assessment, and migration capabilities powered by both Azure and its partner tools. You can rely on a centralized migration repository that allows for comprehensive tracking and insights throughout the process. Additionally, Azure includes cost optimization features and tools to ensure a budget-friendly migration experience. The guided process, coupled with a progress dashboard, seamlessly leads you through the discovery, assessment, and migration stages across various business sectors within a single data repository. Leverage built-in insights and recommendations to make informed migration choices. Furthermore, take advantage of rapid lift-and-shift migration tools available within your Azure subscription at no extra cost, ensuring a streamlined and efficient migration journey. This holistic approach not only enhances the migration experience but also empowers organizations to achieve their cloud objectives with confidence.

Effortlessly transition your data, schemas, and objects from various sources to the cloud on a large scale. The Azure Database Migration Service serves as a helpful tool designed to streamline, direct, and automate your migration process to Azure. You can transfer your database alongside server objects, which encompass user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages in one go. This service facilitates the migration of your data to Azure from popular database management systems. Whether you are transitioning from a local database or another cloud provider, the Database Migration Service accommodates essential migration scenarios for SQL Server, MySQL, PostgreSQL, and MongoDB. By leveraging PowerShell, you can save both time and effort in automating your migration to Azure. Additionally, the Database Migration Service is compatible with PowerShell cmdlets, enabling the automatic migration of multiple databases in one operation. This means you can efficiently manage migrations to Azure not only from on-premises but also from other cloud environments, ensuring a seamless transition for all your database needs.

Utilize high-performance ETL for data ingestion, whether through mass ingestion or change data capture methods. Seamlessly integrate data across any cloud environment using ETL, ELT, Spark, or a fully managed serverless solution. Connect and unify applications, regardless of whether they are on-premises or part of a SaaS model. Achieve data processing speeds of up to 72 times faster, handling petabytes of data within your cloud infrastructure. Discover how Informatica’s Cloud Data Integration empowers you to rapidly create high-performance data pipelines tailored to diverse integration requirements. Effectively ingest databases, files, and real-time streaming data to enable instantaneous data replication and analytics. Facilitate real-time app and data integration through intelligent business processes that connect both cloud and on-premises sources. Effortlessly integrate message-driven systems, event queues, and topics while supporting leading tools in the industry. Connect to numerous applications and any API, enabling real-time integration through APIs, messaging, and pub/sub frameworks—without the need for coding. This comprehensive approach allows businesses to maximize their data potential and improve operational efficiency significantly.

The EMS Data Generator for MySQL is a remarkable application designed to create test data for MySQL database tables, offering options to save and modify scripts. This versatile utility enables users to replicate a production-like database environment, facilitating the simultaneous filling of multiple MySQL tables with test data. Users can specify which tables and columns to target for data generation, establish ranges of values, and create MySQL character fields based on specific patterns. Additionally, it allows for the input of custom value lists or the selection of values through SQL queries, along with tailored generation parameters for each type of field. With its diverse features, the tool simplifies the process of generating MySQL test data effectively. Furthermore, the Data Generator for MySQL includes a user-friendly console application, enabling one-click generation of test data using pre-defined templates. This added functionality streamlines workflows and enhances productivity for database developers.