Best Free Data Management Software of 2025 - Page 32

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!

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.

Our APIs make it easy to automate document processing in your software. All APIs accept input documents (photo or PDF) and return a structured reply with all the information that you require. Instant processing ensures the best UX. High-quality results regardless of image quality. Get structured data, no post processing required. To make it easy for developers to create robust APIs that are ready to use, we apply state-of-the-art deep learning research to the field. Our algorithms find the relevant information in the image before reading it, unlike traditional OCR. This new paradigm breaks down the traditional OCR performance barriers in terms speed, accuracy, and robustness. No training, templates or setup required. Software developers can access our APIs through plug-and-play. An API-first platform, designed for developers. Developers get a free plan, with no credit card. Synchronous cloud-based APIs

Oracle SQL Developer Data Modeler is a complimentary graphical application designed to boost efficiency and streamline the process of data modeling. With this tool, users can effortlessly create, navigate, and modify various models, including logical, relational, physical, multi-dimensional, and data type models. The Data Modeler also offers capabilities for both forward and reverse engineering, while facilitating collaborative efforts through built-in source code management. It is versatile enough to be utilized in traditional setups as well as cloud-based environments. As part of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler stands out as a comprehensive, independent product featuring a wide array of data and database modeling tools and utilities. Additional resources, including a general FAQ and other relevant materials, can be found on the Data Modeler homepage. This document aims to address some of the pricing-related inquiries that have emerged within the community, providing helpful insights for users navigating these questions.

DTM Data Modeler serves as a CASE tool designed for database developers, facilitating both forward and reverse engineering processes. This user-friendly application allows for the manipulation of both logical and physical data models, visualized through entity-relationship diagrams. Aimed at database architects and developers, it connects seamlessly with data sources through the ODBC interface, ensuring compatibility with contemporary database management systems. In addition to managing fundamental model properties, such as entities and their interrelationships, the software enables the creation of indexes and triggers at the physical level that align with the modeled database tables. The feature for foreign key migration enhances schema development by providing a more intuitive and visual approach, while also minimizing the risk of integrity errors within the model. Furthermore, users can generate database schema objects directly in the database or produce SQL scripts that reflect the model and adhere to custom user-defined settings, making the entire process more efficient and streamlined. Overall, DTM Data Modeler equips developers with a robust set of tools for effective database design and management.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

Cortex is an innovative open-source solution that enhances horizontal scalability. While Prometheus is capable of handling up to 1 million samples per second on a single machine, Cortex enables a virtually limitless level of horizontal scaling. In an ever-evolving landscape, it is essential to adopt alternative strategies for monitoring individual virtual machines or servers. Prometheus features a service-discovery-driven, pull-based metrics system that caters to the dynamic characteristics of microservices. This capability allows for seamless monitoring of your entire ecosystem, regardless of the number of components involved. You can instrument your application to generate tailored metrics using the standard Prometheus client libraries, or you can leverage the vast array of Prometheus Exporters that gather data from existing software like MySQL, Redis, Java, ElasticSearch, and many others. By adopting these tools, organizations can ensure they maintain visibility and control over their complex infrastructures. This flexibility is particularly valuable in today's fast-paced, continuously changing technological environments.

Warp 10 is a modular open source platform that collects, stores, and allows you to analyze time series and sensor data. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 offers both a time series database and a powerful analysis environment, which can be used together or independently. It will allow you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The Platform is GDPR compliant and secure by design using cryptographic tokens to manage authentication and authorization. The Analytics Engine can be implemented within a large number of existing tools and ecosystems such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. From small devices to distributed clusters, Warp 10 fits your needs at any scale, and can be used in many verticals: industry, transportation, health, monitoring, finance, energy, etc.

Apache Traffic Server™ is a high-performance, scalable, and flexible caching proxy server that supports both HTTP/1.1 and HTTP/2 protocols. Originally developed as a commercial product, it was later contributed to the Apache Foundation by Yahoo!, and is now widely utilized by numerous prominent content delivery networks (CDNs) and content providers. By caching and reusing frequently accessed web pages, images, and web service calls, it enhances response times while minimizing server load and bandwidth consumption. The server is designed to efficiently scale on contemporary symmetric multiprocessing (SMP) hardware, capable of managing tens of thousands of requests each second. Users can easily implement features like keep-alive, content filtering or anonymization, and load balancing by integrating a proxy layer. Additionally, it offers APIs that allow for the development of custom plug-ins, enabling modifications to HTTP headers, managing Edge Side Includes (ESI) requests, or even creating unique caching algorithms. With its ability to process over 400TB of data daily at Yahoo! in both forward and reverse proxy configurations, Apache Traffic Server stands out as a robust and reliable solution for high-traffic environments. Its proven track record makes it an ideal choice for organizations looking to enhance their web infrastructure efficiency.

IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.

KlearStack automates invoice processing without the need for templates and eliminates the tedious task of manually entering unstructured documents. Our mission is to automate tedious manual processes and tedious data entry so that humans can be freed up for more creative and intelligent tasks. Organizations can use unstructured data to gain competitive advantage. This is done by unlocking the useful information in semi-structured and unstructured documents. KlearStack's AI provides the best solutions to automate these processes that involve unstructured data. Invoice Automation Automate your Purchase Order Receipt Capture Consumer Durable Loans Multi-Vendor Trade Finance Process Automation Two-wheeler Loan Automation Autonomous Loan Process for Used Cars Our proprietary template-less AI/ML technology means that you no longer need to spend hundreds of hours designing and maintaining templates. Increase productivity by up to 200

PolarDB is engineered for mission-critical database applications that demand exceptional speed, extensive concurrency, and seamless scaling capabilities. It allows for a remarkable expansion of up to millions of queries per second and supports a database cluster with a capacity of 100 TB alongside 15 low latency read replicas. This platform boasts a performance that is six times quicker than traditional MySQL databases while providing the security, reliability, and availability comparable to well-established commercial databases at merely one-tenth of the cost. PolarDB represents a culmination of advanced database technology and best practices refined over the previous decade, which have been instrumental during massive events like the Alibaba Double 11 Global Shopping Festival. In a move to foster the developer community, we are pleased to introduce Always Free ApsaraDB for PolarDB across all three variations, available for users operating with no more than one instance (featuring 2 cores and 8GB of memory) and up to 50GB of storage. Act now to register and ensure you renew each month in order to retain this advantageous offer. Please be aware that the availability of regional resources may vary over time, so staying informed is essential.

GoSimplo creates digital dashboards tailored for C-level executives, facilitating informed decision-making with greater ease. By integrating your systems, you can visualize essential metrics and take decisive action. Gain insights into employee workload and performance effortlessly. With user-friendly digital dashboards, monitoring your most valuable asset—your employees—has never been simpler, allowing you to assess their output against expectations. You can also track revenue, billable hours, actual hourly rates, and much more. GoSimplo serves as a robust tool that helps you keep an eye on your progress toward revenue goals while identifying both high and low earners among your clients. This makes the process of reporting and analyzing financial KPIs remarkably straightforward. With GoSimplo, you can maintain a clear view of your financial health; it has never been this easy to stay informed. Our executive dashboards provide a comprehensive look at performance against budget, cash flow, outstanding client payments, and the duration of payment delays, ensuring you are always in control of your financial landscape.

Uncover the hidden order within your intricate data landscape and consistently know where to seek solutions. Datakin seamlessly tracks data lineage, presenting your entire data ecosystem through an engaging visual graph. This visualization effectively highlights the upstream and downstream connections associated with each dataset. The Duration tab provides an overview of a job’s performance in a Gantt-style chart, complemented by its upstream dependencies, which simplifies the identification of potential bottlenecks. When it's essential to determine the precise moment a breaking change occurs, the Compare tab allows you to observe how your jobs and datasets have evolved between different runs. Occasionally, jobs that complete successfully may yield poor output. The Quality tab reveals crucial data quality metrics and their fluctuations over time, making anomalies starkly apparent. By facilitating the swift identification of root causes for issues, Datakin also plays a vital role in preventing future complications from arising. This proactive approach ensures that your data remains reliable and efficient in supporting your business needs.

Transform the way your workforce engages with data from historians, SCADA, and IoT devices, tailoring insights for everyone from field personnel to data analysts. Dive into your data like never before with a comprehensive platform that allows for integration, organization, collaboration, and visualization of industrial information all in one place. Effortlessly navigate and visualize numerous data signals simultaneously while maintaining clarity and performance through our innovative streaming data timeline technology. Initiate discussions or report incidents by tagging team members directly within the data timeline, enhancing communication and context by including media such as images and videos. Access historical activities to prevent redundant problem-solving, ensuring efficiency in your operations. Our robust permission system guarantees that your data remains accessible solely to you, while developer-friendly documentation and secure APIs facilitate safe and straightforward interactions. Whether you are at your desk, on a tablet, or using a mobile phone, our platform is optimized for all modern browsers, and you can also carry industrial data with you wherever you go through our dedicated mobile applications. This approach not only streamlines operations but also fosters a culture of continuous learning and collaboration among your teams.

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.

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.