Best Free Data Management Software of 2026 - Page 34

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.

Activating Borlabs Cache will significantly enhance your website's speed right away. You can select from various cache templates, such as E-Commerce, and it will automatically optimize your online store effectively. Every page on your site will be cached within milliseconds, ensuring quick access. The importance of fast-loading pages cannot be overstated, as they are crucial for boosting your search engine optimization efforts. Additionally, our cache preloader guarantees that your content remains current while ensuring your website loads at remarkable speeds. It combines JavaScript and CSS into single files, delivering them in a compressed format to your visitors. By eliminating unnecessary whitespace and HTML comments, as well as optimizing the integration of Google Fonts, Borlabs Cache minimizes both the size and loading time of your site. Furthermore, it offers the ability to execute PHP code or display dynamic content even on cached pages, which is particularly advantageous for showcasing banners, shopping carts, or other frequently updated information. This seamless integration of features ensures a smooth and efficient user experience across your website.

Ververica Platform allows every company to immediately benefit from and gain insight from its data in real time. Ververica Platform is powered by Apache Flink's robust streaming platform. It provides an integrated solution for streaming analytics and stateful stream processing at scale. Ververica Platform is powered by Apache Flink and offers high throughput, low latency data processing and powerful abstractions. It also has the operational flexibility that some of the most successful data-driven companies such as Uber, Netflix, and Alibaba. Ververica Platform combines the knowledge gained from our work with large, innovative, data-driven enterprises into an accessible, cost-effective, and secure platform that is enterprise-ready.

RestApp is a No Code Data Activation Platform that provides anyone with an all-in one solution to connect, model and sync any data using his favorite tools. RestApp allows Data & Ops teams activate data in minutes using No-Code by: Connecting to your favorite databases and business apps Drag-and-drop SQL, NoSQL, and Python functions to model your data and then create and share queries with your colleagues - Automatically sync your data with your tools RestApp makes it easy to use our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Calculating your customers' lead scoring - Generate automatic cohort analyses

If you lack knowledge of SQL or fundamental database principles, this website may not offer much value to you. Conversely, for those involved in database development, SQL Fiddle presents several practical applications tailored to your needs. It enables you to easily compare and analyze SQL statements across various database systems. With SQL Fiddle, you can seamlessly switch between different database providers such as MySQL, PostgreSQL, MS SQL Server, Oracle, and SQLite for your queries. This functionality allows you to swiftly assess the challenges of porting queries or the language features available in each database environment. In situations where a specific database platform is not accessible, but you wish to understand how a particular query would function in that context, SQL Fiddle provides an efficient solution. You can simply set up your database and execute queries right here, eliminating the need for a full installation for your testing purposes. This makes it an invaluable tool for developers looking to optimize their SQL skills and explore various database capabilities without the overhead of traditional setups.

To enhance your decision-making process, it's essential to utilize customer data without the burden of requiring engineers to write code for every single event. Freshpaint automatically identifies clicks and actions on your website and transfers the collected data to numerous analytics and advertising platforms through its ready-made integrations. If you happen to miss tracking an event, Freshpaint can provide you with immediate insights by retrieving historical data for any newly identified event, eliminating the usual waiting period of two weeks. For startups in the digital health sector, Freshpaint is ready to sign Business Associate Agreements (BAAs) and is entirely tailored to handle Protected Health Information (PHI). Since developers typically implement tracking for various analytics and marketing tools but aren’t always the primary users of these systems, Freshpaint offers the adaptability needed for a more efficient workflow. This allows teams to accelerate their pace and allocate more time to focus on developing their core products effectively. By streamlining the data tracking process, Freshpaint empowers businesses to make informed decisions swiftly.

SQL is a specialized programming language designed specifically for the purpose of retrieving, organizing, and modifying data within relational databases and the systems that manage them. Its use is essential for effective database management and interaction.

NoSQL refers to a specialized programming language designed for interacting with, managing, and altering non-tabular database systems. This type of database, which stands for "non-SQL" or "non-relational," allows for data storage and retrieval through structures that differ from the traditional tabular formats found in relational databases. Although such databases have been around since the late 1960s, the term "NoSQL" only emerged in the early 2000s as a response to the evolving demands of Web 2.0 applications. These databases have gained popularity for handling big data and supporting real-time web functionalities. Often referred to as Not Only SQL, NoSQL systems highlight their capability to accommodate SQL-like query languages while coexisting with SQL databases in hybrid architectures. Many NoSQL solutions prioritize availability, partition tolerance, and performance over strict consistency, as outlined by the CAP theorem. Despite their advantages, the broader acceptance of NoSQL databases is hindered by the necessity for low-level query languages that may pose challenges for users. As the landscape of data management continues to evolve, the role of NoSQL databases is likely to expand even further.

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

The VertiPaq Analyzer is a powerful tool for examining the storage structures within a data model in Power BI and Analysis Services Tabular. It includes measures for various segments and partitions, such as pageable, resident, refresh date, and last access. Analysis Services offers a range of Dynamic Management Views (DMVs) to gather insights about the memory utilized by a data model. For instance, the DISCOVER_OBJECT_MEMORY_USAGE DMV reveals details about all objects currently residing in memory. This type of DMV can also be employed to monitor a Multidimensional instance of Analysis Services effectively. A notable contribution by Kasper de Jonge is the BISM Memory Report, a sample model that presents this information hierarchically, allowing users to easily identify the most resource-intensive databases, tables, and columns on a server. Should you wish to delve deeper into a specific database, additional detailed insights are accessible through other DMVs designed for this purpose. Understanding these tools and their capabilities can significantly enhance your data management strategies.

Currently, startups focus on intuition and gut feelings when making decisions rather than relying on data. This can lead to suboptimal decision-making and wasted resources. Because AI applications are COMPLEX, EXPENSIVE & TIME-CONSUMING - demanding army of data engineers & data scientists with domain knowledge… this is scary because they are just a few in numbers! Startups tend not to prioritize their data & analytics. This later becomes a challenging issue in cultivating Data- culture. The no-Code architecture of AI Surge helps startups to become data-driven from day one!

Peakboard GmbH offers a low-code platform designed to empower production and logistics companies in overseeing internal processes and engaging with their systems seamlessly. Through this platform, data from various sources such as SAP, machine controls, material flow controls, and Excel can be collected and analyzed in real-time, presenting insights on screens instantaneously. This facilitates easy error detection and enhances productivity. Customers retain control over the displayed key performance indicators on the dashboard, tailoring the interface to their specific needs. With compatibility across over 90 IT interfaces, information can be effortlessly communicated through touchscreens, creating an intuitive interface accessible to production and warehouse staff. Consequently, operating production machinery becomes as straightforward as using a smartphone.

Our SERP API allows you to extract search engine result pages in real-time. With our Google search API services, you can perform a variety of searches including standard searches, image searches, news searches, and map searches, among others. This flexibility helps you gather comprehensive data tailored to your specific needs.

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

SPListX for SharePoint is an advanced application that uses a rule-based query engine to facilitate the exportation of document and picture library contents along with their metadata and related list items, including file attachments, directly to the Windows File System. With SPListX, users can export an entire SharePoint site, encompassing libraries, folders, documents, list items, version histories, metadata, and permissions, to their preferred location within the Windows File System. This versatile tool is compatible with various versions of SharePoint, including 2019, 2016, 2013, 2010, 2007, 2003, as well as Office 365, making it a reliable choice for organizations utilizing different SharePoint environments. Its comprehensive support for multiple SharePoint versions ensures that users can efficiently manage and transfer their data regardless of the specific SharePoint setup they are employing.

All in one place, create beautiful forms, access-controlled database, and highly customizable business applications. To create your perfect application, you can connect building blocks like forms, tables, lists and charts to create powerful relational databases. You can power your data collection with simple, but powerful online forms that don’t require any programming. You can capture leads, create workflows and collect payments. Your workspace can be divided into different departments, clients, projects, and teams. Securely access your team members and collaborate more effectively in real-time. Do not settle for generic software that doesn't suit your business. You can quickly create custom interfaces that allow you to access your business's data without the need for developers. Connect your workflow with thousands of apps and services like Google, Salesforce, Salesforce, Slack, and many more.

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

Cachify enhances the speed of your page loads by transforming posts, pages, and custom post types into static content that can be cached. Users have the option to cache data through the database, the hard drive of the web server (HDD), or directly within the server's system cache utilizing APC (Alternative PHP Cache). By retrieving pages or posts from the cache upon loading, the number of database queries and PHP requests can significantly diminish, potentially nearing zero, based on the selected caching method. As a WordPress blog incorporates more dynamic widgets, templates, and plugins, it may experience a slowdown in performance. Increased visitor traffic results in greater database access, placing additional processing demands on the server for variable areas. Consequently, this heightened load can cause delays in the delivery of web pages. Designed specifically for small to medium-sized projects, Cachify serves as a smart and user-friendly caching plugin that temporarily holds page content in a static format, thus ensuring optimal performance. Its efficiency makes it an invaluable tool for maintaining a smoothly running website amidst growing demands.

Effortlessly branch, review, and merge your data while enjoying the benefits of complete historical tracking and recoverability. Maintain synchronization between your code and data to ensure consistent development and reliable reproducibility. Centralize the automation of reports, access audits, and metadata management for ease of use across your team. XetHub is perfectly suited for groups already utilizing Git for code management who wish to harness the advantages of infinite history, pull requests, and difference-based tracking for larger assets like datasets or media files. By employing familiar Git workflows, managing entire projects becomes straightforward, simplifying change tracking and facilitating continuous integration, particularly for processes that generate or enhance assets through code. This approach not only improves collaboration but also enhances overall project efficiency.

MLReef allows domain specialists and data scientists to collaborate securely through a blend of coding and no-coding methods. This results in a remarkable 75% boost in productivity, as teams can distribute workloads more effectively. Consequently, organizations are able to expedite the completion of numerous machine learning projects. By facilitating collaboration on a unified platform, MLReef eliminates all unnecessary back-and-forth communication. The system operates on your premises, ensuring complete reproducibility and continuity of work, allowing for easy rebuilding whenever needed. It also integrates with established git repositories, enabling the creation of AI modules that are not only explorative but also versioned and interoperable. The AI modules developed by your team can be transformed into user-friendly drag-and-drop components that are customizable and easily managed within your organization. Moreover, handling data often necessitates specialized expertise that a single data scientist might not possess, making MLReef an invaluable asset by empowering field experts to take on data processing tasks, which simplifies complexities and enhances overall workflow efficiency. This collaborative environment ensures that all team members can contribute to the process effectively, further amplifying the benefits of shared knowledge and skill sets.

FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.

Access data relationships instantly within the document itself. Mingo intelligently identifies document references and provides a preview or allows you to open the document effortlessly with a single click. Streamline your workflow by reducing the number of clicks and tasks needed to complete your work efficiently. Consolidate all your essential data into a comprehensive overview. Design your personalized dashboard featuring the data that matters most to you. Mingo’s Aggregator is designed to assist you in this process. With its user-friendly visual interface, it offers a clear understanding of the pipeline's functions, displays the outcomes at each stage, and highlights any errors that may arise. As you input your commands, the Aggregator suggests autocomplete options, validates your code, and retrieves sample results for every stage, ensuring you see immediate outcomes and confirming whether your code performs as anticipated. Additionally, if you need guidance on command usage, convenient links to documentation are readily accessible for your reference, making the entire experience even more user-friendly. This comprehensive tool is an excellent asset for anyone looking to enhance their data management and coding efficiency.

Data Miner stands out as a premier web scraping tool tailored for serious data mining professionals. This extension, compatible with both Google Chrome and Edge browsers, enables users to effectively crawl web pages and extract data into formats like CSV files or Excel spreadsheets. With its user-friendly interface, Data Miner simplifies the process of advanced data extraction and web crawling. In just a few simple clicks, users can utilize any of the extensive collection of over 60,000 data extraction rules provided within the tool, or they can craft their own personalized rules to target specific data points from web pages. Whether scraping a single webpage or navigating an entire site, Data Miner is equipped to extract various types of information, including search results, product details, pricing, contact information, emails, and phone numbers. Upon completing the scraping process, Data Miner conveniently converts the gathered data into a well-organized CSV or Microsoft Excel file, making it easy for users to download and utilize. Additionally, Data Miner offers a robust array of features designed to allow users to extract any visible text from a webpage they are currently viewing in their browser, enhancing the tool's overall versatility.

Streamline the creation and upkeep of your data connectors, allowing your team to concentrate on specific client challenges while we handle the rest. With Corows' intuitive drag-and-drop interface, transforming your data operation requirements into a tailor-made function for your data pipeline becomes a straightforward task. After you design your function, it can be published within your workspace, easily reconfigured, and applied in various situations, facilitating a seamless approach to managing your data processes. Elevate the experience for both your clients and your team through robust automation solutions. We're eager to explore fresh use cases, so reach out to us and start your first automation journey at no cost! Enhance your data operations and achieve new milestones, while receiving on-site support to help you manage your organizational responsibilities effectively. At Corows, we prioritize creating a collaborative environment for all data participants, regardless of their technical expertise. By fostering this inclusive approach, we ensure that everyone can engage meaningfully with data-driven solutions.