Best Free Data Management Software of 2026 - Page 33

AI teams encounter obstacles that necessitate the development of innovative technologies, which we specialize in creating. Traditional data warehouses and lakes struggle to accommodate unstructured data types such as text, images, and videos. Our approach integrates AI with software development, specifically designed for data scientists, machine learning engineers, and data engineers alike. Instead of reinventing existing solutions, we provide a swift and cost-effective route to bring your projects into production. Your data remains securely stored under your control, and model training occurs on your own infrastructure. By addressing the limitations of current data handling methods, we ensure that AI teams can effectively meet their challenges. Our Studio functions as an extension of platforms like GitHub, GitLab, or BitBucket, allowing seamless integration. You can choose to sign up for our online SaaS version or reach out for an on-premise installation tailored to your needs. This flexibility allows organizations of all sizes to adopt our solutions effectively.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

Make your website look professional by creating a banner. This will ensure that your website's use and tracking technologies are compliant with the GDPR and other global privacy laws. One line of code blocks cookies and other tracking technologies until users consent. Avoid ugly banners that don't match your website's style. Use custom fonts and colors just like your website builder. You can create a preference center so that your users can give their consent to each purpose, such as Marketing and Analytics. Display the appropriate cookie banner to users based on their country. Keep searchable records of consent. It can be used as proof of consent in the event of a dispute. Our dashboard gives you a monthly compliance report. You can track new pages, cookies, and fix problems. Modern privacy laws such as the GDPR and CCPA include cookies and IP in their definitions of Personal Data. This means that you must inform users about the use of cookies and the purposes for which they are being used (Analytics, Marketing, etc).

Report Hopper allows you to generate tailored reports for your clients, whether they run a small business, an e-commerce site, or a large enterprise, creating eye-catching and personalized insights. Setting up your Report Hopper account is a breeze; simply connect your Google Analytics, Facebook, or other accounts with just one click, and your data will be seamlessly integrated into your reports. You can also schedule weekly and monthly reports to be automatically generated and sent directly to you or your clients, ensuring that they receive impressive insights consistently. With Report Hopper, customized reports that impress are just a few clicks away! While there are some limitations to the service (after all, we have a team to support), the core features remain completely free. Plus, you can continuously refine your reports to ensure they meet your clients' evolving needs.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

SQL Workbench/J is a versatile and free SQL query tool that operates independently of any specific database management system and is compatible with various operating systems due to its Java foundation. It is designed to execute SQL scripts, whether interactively or in batch mode, while also offering robust import and export functionalities. Although it does not prioritize graphical query building or complex database administration tasks, it includes a powerful export command that allows users to generate text files, XML, HTML, or SQL formats, including support for BLOB data. Users can easily export all tables from a database to a designated directory using a single command, and the export files can be compressed during the process. The tool also supports efficient import of text, XML, and spreadsheet files, enabling users to bring in sets of files, including compressed versions, from a directory with one command. Additionally, it intelligently detects foreign key constraints to ensure proper data insertion order. Users can also compare two database schemas to identify differences, and the tool provides the capability to convert XML output into the appropriate SQL ALTER statements using XSLT, enhancing its functionality even further. Overall, SQL Workbench/J serves as a comprehensive solution for users seeking a straightforward approach to managing SQL queries across various platforms.

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.

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.

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 brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

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.

Introducing revolutionary data streaming features that enable unparalleled customer experiences. The Kafka API and its ecosystem are fully compatible with Redpanda, which boasts predictable low latencies and ensures zero data loss. Redpanda is designed to outperform Kafka by up to ten times, offering enterprise-level support and timely hotfixes. It also includes automated backups to S3 or GCS, providing a complete escape from the routine operations associated with Kafka. Additionally, it supports both AWS and GCP environments, making it a versatile choice for various cloud platforms. Built from the ground up for ease of installation, Redpanda allows for rapid deployment of streaming services. Once you witness its incredible capabilities, you can confidently utilize its advanced features in a production setting. We take care of provisioning, monitoring, and upgrades without requiring access to your cloud credentials, ensuring that sensitive data remains within your environment. Your streaming infrastructure will be provisioned, operated, and maintained seamlessly, with customizable instance types available to suit your specific needs. As your requirements evolve, expanding your cluster is straightforward and efficient, allowing for sustainable growth.

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.