Best Free Data Management Software of 2025 - Page 38

EpiData Entry serves as a platform for both straightforward and programmed data entry along with comprehensive data documentation. It effectively manages simple forms or interconnected systems, featuring optimized documentation and advanced error detection capabilities such as double-entry verification, ID number lists across multiple files, a codebook overview, and backup and encryption procedures for data integrity. This software is ideal for the accurate entry and thorough documentation of data. Users can download the "setup" file in their preferred language, which encompasses both the program and its essential documentation; translations include various texts for menus and other interfaces while the core program remains consistent across all languages. Since its inception in the year 2000, EpiData Software has evolved from adhering to the foundational principles of Epi Info V6 into a self-sufficient, documentation-focused system, offering several translations and wide-ranging downloads. To ensure the ongoing sustainability of this software, it is anticipated that organizations and governments outside low-income regions will contribute support through funding or other forms of assistance aimed at development and maintenance. This collaborative effort is crucial for the software's future enhancements and accessibility.

Eliminate boring, manual, and error-prone tasks with Magnitude's Process Automation offerings. You can effortlessly create, extract, update, and oversee SAP data directly from Microsoft Excel, all without the need to write any code. Magnitude Process Runner revolutionizes SAP interactions by providing automation tools that simplify the execution of large and intricate data transactions. This transforms Microsoft Excel into a central hub for managing SAP data, effectively reducing repetitive data entry, optimizing workflows, and significantly boosting productivity levels. Unlike any other SAP automation solutions, Process Runner stands out with its unique features, user-friendliness, and robust enterprise governance capabilities. This tool allows seamless data transfer between Microsoft Excel and SAP, eliminating the necessity for any coding or scripting. Process Runner offers a more adaptable solution for automation compared to traditional methods such as LSMW, BDC, SM35, and SHDB. Its capability to streamline operations makes it an invaluable asset for businesses looking to enhance their data management processes.

The Datastreams Platform represents a cutting-edge solution aimed at streamlining the processes involved in capturing, sharing, and managing data both within organizations and across different entities. From the very first phase of gathering appropriate data to achieving a reliable, personalized view of that data, our Platform guides users throughout the entire experience. Thanks to its advanced streaming technology, optimized performance, and patented data capturing features, the process is not only efficient but also straightforward; coupled with our commitment to privacy by design, data collaboration has become accessible to all users! At its core, the Platform consists of the Data Operations Unit (known as Datastreams Operator), which can be customized with various modules to cater to specific needs, such as implementing data quality checks on web or mobile platforms, or compliant segmentation of target groups. With a focus on enhancing both IT and business flexibility, users can initiate data collaboration in just a matter of days by easily connecting to various data sources, thus ensuring a rapid and effective start to their data-driven initiatives.

Create rich, interactive dashboards to accelerate your analytical insights throughout your enterprise. Cloudera Data Visualization allows data engineers, data scientists, and business analysts to explore data, collaborate and share insights throughout the data lifecycle - from data ingest through to data insights. Data Visualization, a native Cloudera product, provides a consistent data visualization experience that is easy to use. It includes drag-and drop dashboards and custom applications. SDX provides full security for Data Visualization, enabling enhanced data workflows in all your data and analytics workflows. Cloudera Machine Learning can be used to build predictive applications, or you can leverage your data warehouse for fast intelligent reporting.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Qubole stands out as a straightforward, accessible, and secure Data Lake Platform tailored for machine learning, streaming, and ad-hoc analysis. Our comprehensive platform streamlines the execution of Data pipelines, Streaming Analytics, and Machine Learning tasks across any cloud environment, significantly minimizing both time and effort. No other solution matches the openness and versatility in handling data workloads that Qubole provides, all while achieving a reduction in cloud data lake expenses by more than 50 percent. By enabling quicker access to extensive petabytes of secure, reliable, and trustworthy datasets, we empower users to work with both structured and unstructured data for Analytics and Machine Learning purposes. Users can efficiently perform ETL processes, analytics, and AI/ML tasks in a seamless workflow, utilizing top-tier open-source engines along with a variety of formats, libraries, and programming languages tailored to their data's volume, diversity, service level agreements (SLAs), and organizational regulations. This adaptability ensures that Qubole remains a preferred choice for organizations aiming to optimize their data management strategies while leveraging the latest technological advancements.

FrontBase was developed to address the demand for a powerful and scalable relational database server that is designed for internet use, operates without any downtime, and necessitates no administrative efforts. With its remarkable speed, extensive features, and adaptable architecture, FrontBase can provide users with a significant competitive advantage. Not only is FrontBase exceptionally fast, but it also serves as a highly scalable relational database server. Clients utilize FrontBase to build a wide array of databases, ranging from small personal projects to some of the largest enterprise-level systems globally, all while eliminating the need for costly database administration personnel. Established in 1996, FrontBase not only develops essential tools but also crucial applications, including the Command and Control Center for the Copenhagen Police, which is a 24/7 emergency response system. With dedicated support and specialized divisions for Tools, Core Development, and Professional Services, FrontBase is committed to assisting you in reaching your objectives, supported by three global offices that enhance its ability to serve customers effectively. The company’s focus on innovation and client satisfaction continues to drive its success in the ever-evolving tech landscape.

D3.js is a powerful JavaScript library designed for the dynamic manipulation of documents through data. By leveraging HTML, SVG, and CSS, D3 enables the transformation of data into engaging visual representations. Its focus on web standards allows developers to utilize the advanced features of modern web browsers without being restricted by a proprietary framework, merging robust visualization tools with a data-centric approach to DOM manipulation. With D3, users can associate any type of data with a Document Object Model (DOM) and perform data-driven alterations to that document. For instance, D3 can create an HTML table from a list of numbers or transform the same data into an interactive SVG bar chart that features smooth transitions and user engagement. Rather than being an all-encompassing framework that attempts to include every possible feature, D3 addresses the core challenge of effectively manipulating documents based on data. This strategy not only circumvents proprietary limitations but also provides remarkable flexibility, unlocking the full potential of web standards like HTML, SVG, and CSS. As a result, D3 becomes a versatile tool for developers seeking to create rich, interactive data visualizations that can adapt to a variety of use cases.

Cross-platform real time file replication for Windows and Linux, Solaris, Solaris, AIX and OpenBSD. EnduraData EDpCloud replicates data and synchronizes it between different operating systems, geographical locations, and cloud providers.

MSDS365 is your solution. You can search our online safety sheet library just like Google and download them directly to you computer. It's never been easier to find safety data sheet online with over 250,000. Our dedicated MSDS management team is constantly updating our library to ensure that you can find the ones that you need as quickly and easily as possible. Are you having trouble finding the safety data sheet that you are looking for? It's not available on the manufacturer's site. Do you need the most recent MSDS version? Get rid of all your junk files and folders, and you'll be safe knowing that your COSHH folder is up-to-date. We keep your safety data sheets current for you and notify when a new version is available. Accessible from anywhere with an internet connection, all you need to do is have a computer. All safety data sheets can be stored in the cloud.

SecurEnds cloud software allows the world's most innovative companies to automate: User access reviews, Access certifications, entitlement audits, access requests, and identity analytics. Use the SecurEnds connectors and files to load employee data from a Human Resources Management System (e.g. ADP, Workday. Ultipro. Paycom). To pull identities across enterprise applications (e.g. Active Directory, Salesforce. Oracle, and databases (e.g. SQL Server, MySQL and PostreSQL) and cloud applications (e.g. AWS, Azure and Jira), you can use flex connectors and built-in connectors. As often as necessary, you can perform user access reviews by role and attribute. To track any changes since last campaign, application owners can use delta campaigns. To perform access updates, application owners can send remediation tickets directly. Auditors have the ability to access dashboards and remediations.

Experience enterprise-level storage solutions tailored to the locations of your applications. Cloud Volumes ONTAP allows you to maximize the efficiency of your cloud storage expenditures and operational performance, all while improving data safety, security, and regulatory adherence. With Cloud Volumes ONTAP, you can effortlessly estimate your storage expenses on platforms like AWS, Azure, or Google Cloud by utilizing a straightforward, user-friendly calculator that is completely free to use. This tool is designed to help you make informed decisions about your cloud storage needs.

Accelerate and simplify IoT data extraction, create AI for the shop floor, and visualize KPIs. Manage decentralized, compact data pods. Each data pod is completely autonomous and includes infrastructure for powerful analytics. Flexible storage capacity allows you to create multiple pods with different sizes. In a seamless data journey, you can collect, analyze, visualize, and visualize data. You can collect raw data from multiple sources, such as IoT routers or the web. Instantly generate reports and create custom infographics from your browser. Combine the power of VS Code, Observable and TablePlus to create interactive data science workbooks. You can see the current and past processes in real time and automate package loads up to reporting.

CATMA is an innovative web platform designed for text annotation, analysis, and visualization, tailored to replicate the adaptable processes of hermeneutic text interpretation. Users can engage with the application in a manner that aligns best with their research objectives, whether they prefer qualitative or quantitative methods, exploratory approaches, or a more structured, taxonomy-driven analysis, allowing for both individual and collaborative efforts. The latest iteration, Version 6, introduces a host of new functionalities, with its framework now organized around distinct projects. These projects can encompass various elements, including Documents, Annotations, Tagsets, and Members, enhancing the organization of collaborative annotation through updated roles-and-rights management features. Improvements to analysis capabilities include refined query options and visualizations that are seamlessly integrated, alongside a collection of standard queries and fresh visualization tools. Furthermore, the user interface has undergone a comprehensive redesign, resulting in a more streamlined and user-friendly experience that enhances overall usability. With these advancements, CATMA continues to support diverse research needs while making the process of text analysis more accessible and efficient.

DragonGlass is a highly scalable Platform as a Service infrastructure. It stores and processes (unmarshalling indexing, signature verification etc) data from the Hedera Hashgraph Platform at a TPS comparable to the Mainnet. The platform allows end users to search Google-like for accounts, transactions, smart contracts files, and... almost all other information produced on the Mainnet. The platform supports a wide variety of REST-based API's for developers to access all data. DragonGlass also offers a dApp Marketplace, where developers can list their product and allow users to view all details about the dApp, such as balance history and payment receipts.

Volt Active Data is a sophisticated data platform designed to streamline your entire technology stack, enhancing speed and cost-effectiveness, enabling applications and businesses to effortlessly scale in alignment with the extremely low latency service level agreements (SLAs) demanded by 5G, IoT, edge computing, and future innovations. It is tailored to complement your current big data assets, including NoSQL, Hadoop, Kubernetes, Kafka, and conventional databases or data warehouses, as it replaces the multiple layers usually necessary for making contextual decisions on streaming data with a singular, cohesive layer that facilitates ingestion to action in under 10 milliseconds. The digital landscape is inundated with data that is generated, stored, often overlooked, and ultimately discarded. "Active Data" refers to the information that requires immediate action for businesses to derive value from it. Numerous traditional and NoSQL data storage solutions are available for managing such data; however, there exists also a category of data that can be monetized, provided that swift action is taken to 'influence the moment' before the opportunity slips away. By harnessing the capabilities of Volt Active Data, organizations can ensure they are not merely collecting data but effectively leveraging it for real-time decision-making and strategic advantage.

Billions of people. Trillions of connections. One API. The Nylas APIs are powering applications with email, calendar and contacts that sync from any inbox around the globe. Nylas is the only company that provides an API for all email, calendar and contacts integrations. Contact records can be updated with missing information. A connection graph can make intros more warm. To create a single data source, combine data from each address book.

LinkedIn allows you to create email lists. Wiza works like magic. Any LinkedIn Sales Navigator search can be turned into a list of verified emails that are ready for outreach. Bounced emails, copy-and-paste, and switching between tools are gone. Wiza is a new type of sales tool that makes LinkedIn lead generation seamless. Pay as you go, only 15 cents per email. A pro plan is also available for $50 per month. This includes integrations, 300 leads per monthly, and additional leads for 10 cents per email. A sales navigator is a great way to find people outside of your network. It also makes it easier for Wiza get solid results. Click here to create an account. Each valid email is charged separately. Wiza estimates the cost of a search before you do it. The final charge is usually lower. We offer risky email services for no cost! (https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwiza.co

Neo4j's graph platform is designed to help you leverage data and data relationships. Developers can create intelligent applications that use Neo4j to traverse today's interconnected, large datasets in real-time. Neo4j's graph database is powered by a native graph storage engine and processing engine. It provides unique, actionable insights through an intuitive, flexible, and secure database.

The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.

Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

Kibana serves as a free and open user interface that enables the visualization of your Elasticsearch data while providing navigational capabilities within the Elastic Stack. You can monitor query loads or gain insights into how requests traverse your applications. This platform offers flexibility in how you choose to represent your data. With its dynamic visualizations, you can start with a single inquiry and discover new insights along the way. Kibana comes equipped with essential visual tools such as histograms, line graphs, pie charts, and sunbursts, among others. Additionally, it allows you to conduct searches across all your documents seamlessly. Utilize Elastic Maps to delve into geographic data or exercise creativity by visualizing custom layers and vector shapes. You can also conduct sophisticated time series analyses on your Elasticsearch data using our specially designed time series user interfaces. Furthermore, articulate queries, transformations, and visual representations with intuitive and powerful expressions that are easy to master. By employing these features, you can uncover deeper insights into your data, enhancing your overall analytical capabilities.

Kaggle provides a user-friendly, customizable environment for Jupyter Notebooks without any setup requirements. You can take advantage of free GPU resources along with an extensive collection of data and code shared by the community. Within the Kaggle platform, you will discover everything necessary to perform your data science tasks effectively. With access to more than 19,000 publicly available datasets and 200,000 notebooks created by users, you can efficiently tackle any analytical challenge you encounter. This wealth of resources empowers users to enhance their learning and productivity in the field of data science.

Obvibase simplifies the process of creating an online database, making it as quick and straightforward as making a spreadsheet. This database application prioritizes user-friendliness, offering a clean interface that is easy to navigate from the start. It provides an improved method for handling data tables, featuring checkboxes, various widgets, default settings, live sorting and filtering, and the ability to attach files from Drive or Dropbox. You can establish connections between tables by using @mentions, which helps in representing relationships among different database entries. Additionally, it supports real-time collaboration, automatically saving your changes to the cloud and allowing others to see them instantly. Even when offline, users can continue to edit their data, with the option to sync changes once they reconnect. For those needing a personal database solution, the generous forever-free Basic plan is likely sufficient for most needs. Overall, Obvibase offers a robust platform for anyone looking to manage data effectively without the usual complexities.

Cayley is an open-source database tailored for Linked Data, drawing inspiration from the graph database that supports Google's Knowledge Graph, previously known as Freebase. This graph database is crafted for user-friendliness and adept at handling intricate data structures, featuring an integrated query editor, a visualizer, and a Read-Eval-Print Loop (REPL). It supports various query languages, including Gizmo, which is influenced by Gremlin, a GraphQL-like query language, and MQL, a streamlined version catering to Freebase enthusiasts. Cayley's modular architecture allows seamless integration with preferred programming languages and backend storage solutions, making it production-ready, thoroughly tested, and utilized by numerous companies for their operational tasks. Additionally, it is optimized for application use, demonstrating impressive performance metrics; for instance, testing has shown that it can effortlessly manage 134 million quads in LevelDB on consumer-grade hardware from 2014, with multi-hop intersection queries—such as finding films featuring both X and Y—executing in about 150 milliseconds. By default, Cayley is set up to operate in-memory, which is what the backend memstore refers to, thereby enhancing its speed and efficiency for data retrieval and manipulation. Overall, Cayley offers a powerful solution for those looking to leverage linked data in their applications.