Best Data Management Software for Mac of 2025 - Page 11

Easily create and modify database models through a user-friendly interface that simplifies the process. The forms clearly indicate which fields are mandatory for accurate SQL code generation. You are free to obtain, alter, and share the source code at no cost. This project features a public repository offering full access and the ability to fork the code, enabling developers to craft their own variations based on the original. Built on the Qt framework, pgModeler is compatible with Windows, Linux, and macOS, and its build scripts can be easily adjusted to address specific dependencies unique to each operating system. You can design a model once and export it across various versions effortlessly. With its dynamic code generation capabilities, pgModeler supports exporting to multiple PostgreSQL versions, ranging from 9.x to 13.x. If you find that certain features are lacking, you can utilize the plug-in development interface to create custom extensions for pgModeler without altering the core code. Moreover, this flexibility allows developers to enhance their database modeling experience and tailor it to their specific needs.

Riak®, TS is an enterprise-grade NoSQL Time Series Database that is specifically designed for IoT data and Time Series data. It can ingest, transform, store, and analyze massive amounts of time series information. Riak TS is designed to be faster than Cassandra. Riak TS masterless architecture can read and write data regardless of network partitions or hardware failures. Data is evenly distributed throughout the Riak ring. By default, there are three copies of your data. This ensures that at least one copy is available for reading operations. Riak TS is a distributed software system that does not have a central coordinator. It is simple to set up and use. It is easy to add or remove nodes from a cluster thanks to the masterless architecture. Riak TS's masterless architecture makes it easy for you to add or remove nodes from your cluster. Adding nodes made of commodity hardware to your cluster can help you achieve predictable and almost linear scale.

SiriDB is optimized for speed. Inserts and queries are answered quickly. You can speed up your development with the custom query language. SiriDB is flexible and can be scaled on the fly. There is no downtime when you update or expand your database. You can scale your database without losing speed. As we distribute your time series data across all pools, we make full use of all resources. SiriDB was designed to deliver unmatched performance with minimal downtime. A SiriDB cluster distributes time series across multiple pools. Each pool has active replicas that can be used for load balancing or redundancy. The database can still be accessed even if one of the replicas is unavailable.

Coder offers self-hosted cloud development environments, provisioned as code and ready for developers from day one. Favored by enterprises, Coder is open source and can be deployed air-gapped on-premise or in your cloud, ensuring powerful infrastructure access without sacrificing governance. By shifting local development and source code to a centralized infrastructure, Coder allows developers to access their remote environments via their preferred desktop or web-based IDE. This approach enhances developer experience, productivity, and security. With Coder’s ephemeral development environments, provisioned as code from pre-defined templates, developers can instantly create new workspaces. This streamlines the process, eliminating the need to deal with local dependency versioning issues or lengthy security approvals. Coder enables developers to onboard or switch projects in a matter of minutes.

File compression and extraction have become incredibly straightforward; simply drag, drop, and compress. Archiving and sharing your files is both quick and efficient, allowing for swift zipping and unzipping. You can easily compress files for email attachments, and the software supports a variety of data archive formats, including RAR, 7Z, TAR, and CAB. With just a few seconds for installation, Express Zip stands out as a stable and user-friendly tool for file archiving and compression. You can create, manage, and extract zipped files and folders with ease, significantly reducing the space required by compressing large files before sharing them with family, friends, coworkers, or clients. A free version of Express Zip is available for non-commercial purposes, allowing users to enjoy many features without time limitations. This free option includes most of the functionalities found in the professional version, making it ideal for casual users. You can open, unzip, and extract a wide range of popular archive formats such as ZIP, RAR, CAB, TAR, 7Z, ISO, GZIP, MULTIDISK, ZIPX, LZH, ARJ, PKPASS, GZ, and many others, ensuring versatility in file management. With these tools at your disposal, organizing and sharing files has never been more efficient or user-friendly.

Dataplane's goal is to make it faster and easier to create a data mesh. It has robust data pipelines and automated workflows that can be used by businesses and teams of any size. Dataplane is more user-friendly and places a greater emphasis on performance, security, resilience, and scaling.

It is available at no cost for everyone and can be utilized for any purpose, including commercial uses. The safety of the application is ensured as its source code is open for public review. The SQL Editor interface offers assistance with SQL syntax through hints and highlighting features, allows for formatted code display, and identifies syntax errors for users. By using Ctrl+click on tables mentioned in SQL queries, users can easily access those tables, indexes, triggers, or views. Additionally, it supports executing SQL statements that span multiple databases within a single query due to its built-in transparent database attachment feature. Users can also create custom collation sequences, which are algorithms for comparing values that can be utilized in clauses like ORDER BY. Furthermore, it comes in a portable version, meaning users can simply download, unzip, and run it without needing to install or acquire administrative privileges, making it convenient to use on various systems. This exceptional accessibility and user-friendly design contribute to its widespread popularity among developers and database administrators alike.

JPedal makes it easy to work with PDF files in Java. All common tasks can be solved by simply adding a few lines code to your application. IDRsolutions has been actively developing the software for more than 20 years. It can work with any problem PDF files. JPedal supports all PDF 2.0 file specifications, including Encyption and Blending, Forms and Annotations, PostScript and OpenType fonts. JPedal comes with lots of sample code and APIs that can be easily integrated into your code. Adding a feature to your code requires only 2-3 lines of code. JPedal uses its own font engine and custom images libraries to produce high quality images and provide maximum Java performance. JPedal is actively being developed with nightly builds as well as monthly releases. The same people who code the code also provide support.

Gather web data effortlessly with a single click, eliminating the need for coding skills or hiring tech experts. With the sophisticated WebSundew Software and its accompanying services, you can easily collect, analyze, and profit from web data. Choose between a desktop or cloud version to find the extraction method that suits you best. This versatile software is compatible with Windows, Mac, and Linux systems, allowing you to scrape various content types including text, files, images, and PDF documents across diverse sectors like real estate, retail, healthcare, recruitment, automotive, oil and gas, and e-commerce. Experience the convenience and efficiency of web data extraction tailored to your industry needs.

Manticore Search, launched in 2017, is an open-source database that evolved from the Sphinx Search engine. We incorporated its best features while enhancing functionality, resolving hundreds of issues, and nearly rewriting the entire codebase, all while maintaining our commitment to open-source principles. This extensive development has resulted in Manticore Search being a modern, efficient, lightweight, and versatile database that excels in full-text search capabilities. In our view, simplifying technology usage should be a top priority for any vendor today. We aim for all our users, whether they are developers or DevOps professionals, to avoid needing extensive expertise in databases or search engines, allowing them to leverage Manticore products without requiring advanced degrees. We understand that your time is valuable, and we want to spare you the frustration of lengthy trials to comprehend the impact of various settings on functionalities. Therefore, Manticore Search is designed to perform effectively with its default configurations in most scenarios, ensuring a smooth experience right from the start.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

File Data Extractor extracts email addresses, phone numbers, and other custom data from any type or document. Instantly get email and phone data lists from Excel spreadsheets, Word documents and PDF files. • Advance File Data Extractor generates email addresses and phone contacts from Excel spreadsheets and Word documents, D.O.B., PDF files and all other types of plain text files. • Advanced filtering of email and phone numbers using names, domains, countries, custom content, etc. • All unverified and duplicate email addresses and phone numbers are automatically filtered. • Save data as.csv or.txt files. • Easy to use, cost-effective and work efficient software

QualSights is an innovative insights platform designed to empower brands, agencies, and consulting firms to gather richer and more genuine consumer insights from across the globe with remarkable speed and cost efficiency. By utilizing its proprietary technology, businesses can obtain real-time insights by observing and engaging with consumers during their shopping or product usage experiences in their everyday settings. As the first and only fully integrated solution, QualSights adeptly combines qualitative and quantitative research methodologies, thereby delivering clients enhanced depth, authenticity, and agility throughout their research endeavors. Moreover, the platform offers a diverse array of data collection methods while also streamlining analysis through a robust suite of AI tools that simplify the process of identifying and showcasing the most relevant insights. This comprehensive approach ensures that clients can make informed decisions quickly and effectively, ultimately leading to better product development and marketing strategies.

SwiftCache is an all-in-one CDN platform that helps businesses enhance their website’s speed and performance. Offering features like automatic infrastructure deployment, proactive monitoring, and detailed reporting, SwiftCache ensures optimal performance across regions and devices. It also includes easy-to-manage SSL certificates, transparent billing, and flexible scalability to meet diverse business needs. With real-time insights into resource usage and application health, SwiftCache allows businesses to make informed adjustments and prevent downtime, all while keeping infrastructure costs under control.

Overall Equipment Effectiveness (OEE) serves as a crucial metric for evaluating the efficiency of machinery and equipment in industrial settings. By incorporating OEE measurement into your manufacturing workflow, you can significantly boost machine performance, minimize downtime, and enhance production quality. This metric is invaluable for tracking improvements in manufacturing productivity over time. Effective management and monitoring of equipment are essential for success. OEEasy is a web-based application designed to automatically compute the OEE of your production lines based on indicators of quality, performance, and availability. With a simple and rapid setup process, this application is compatible with all manufacturing machines and is available at an affordable price. OEEasy operates on the 4i Platform and allows for expansion beyond production capabilities by integrating with additional apps like ELT and CEnergy. Furthermore, OEEasy converts your data into insightful charts and reports, enabling you to visualize your productivity trends and performance metrics effectively. By employing this tool, manufacturers can make informed decisions that drive operational excellence.

Manage text data effortlessly with a no-code interface that comprehends natural language, leaving spreadsheets behind. Unlike traditional spreadsheets that lack an understanding of language nuances, SimpleX leverages your comprehension and its own advanced capabilities. Say goodbye to convoluted queries and technical jargon; here, artificial intelligence operates seamlessly behind an easy-to-navigate interface. Experience a tenfold increase in the speed of analyzing free text responses. Quickly import, tag, classify, and sort numerous quotes in mere seconds, as our AI takes care of the intricate work. Generate instant treemaps or word clouds that can be directly integrated into your presentations, alongside organized exports filled with valuable insights. With the ability to natively comprehend and process 50 languages, even in mixed formats, it can handle up to 10,000 text responses, including quotes, feedback, and reviews. Thanks to AI-driven analytical tools, it extracts insights at ten times the usual speed, accomplishing real-time tasks that once seemed exclusive to human effort. This sophisticated AI solution is not only powerful but also user-friendly, transforming how you interact with text data.

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.

Effortlessly handle intricate models with ArcadeDB while ensuring no compromises are made. Say goodbye to the concept of Polyglot Persistence; there's no need to juggle multiple databases. With ArcadeDB's Multi-Model database, you can seamlessly store graphs, documents, key values, and time series data in one unified solution. As each model is inherently compatible with the database engine, you can avoid the delays caused by translation processes. Powered by advanced Alien Technology, ArcadeDB's engine can process millions of records every second. Notably, the speed of data traversal remains constant regardless of the database's size, whether it houses a handful of records or billions. ArcadeDB is versatile enough to function as an embedded database on a single server and can easily scale across multiple servers using Kubernetes. Its compact design allows it to operate on any platform while maintaining a minimal footprint. Your data's security is paramount; our robust, fully transactional engine guarantees durability for mission-critical production databases. Additionally, ArcadeDB employs a Raft Consensus Algorithm to ensure consistency and reliability across multiple servers, making it a top choice for data management. In an era where efficiency and reliability are crucial, ArcadeDB stands out as a comprehensive solution for diverse data storage needs.

Galaxy Modeler is a user-friendly and modern schema-design desktop application for GraphQL data modeling. Create GraphQL diagrams, visualize existing schema structures and generate documentation or schema definition scripts. Supported platforms include GraphQL. Key features - Schema design for GraphQL - Import and visualization of existing schemas - Import of structures from online sources - Generating interactive documentation - Generating schema creation scripts - Reports with various styles - Display modes - Support for sub-diagrams

Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams - Generation of alter scripts for selected database platforms

Postbird serves as a versatile PostgreSQL GUI client that is compatible across various platforms and is developed using JavaScript with the Electron framework. It offers support for essential features such as views, materialized views, foreign tables, constraints, and schemas, and has the capability to connect seamlessly to Heroku's Postgres. Users can efficiently manage extensions, procedures, and user accounts, as well as filter tables, modify values, and handle the importing and exporting of tables or entire databases. The application enhances the query editing experience with the ability to save recent queries, utilize syntax highlighting, access keyboard shortcuts, conduct searches, use snippets, maintain query history, and view large result sets effectively. Additionally, it provides options for formatted explanations of queries and allows users to save their results in CSV format, making it a comprehensive tool for database management tasks. Ultimately, Postbird empowers users with a rich set of functionalities designed to streamline their PostgreSQL interactions.

The powerful code editor in dbKoda enables users to create MongoDB queries and scripts, featuring syntax highlighting, auto-completion, and formatting options. You can view results in a foldable JSON format, as a table, or in a chart, and with just one click, generate visual explain plans. This explain plan viewer not only identifies potential indexes to enhance performance but also allows for their creation with a single button press. Utilize the graphical query builder to construct both simple queries and intricate aggregates. dbKoda simplifies administrative tasks through fill-in-the-blank actions accessible from the database tree, allowing users to manage configurations, user roles, logging, storage, and data imports/exports without having to remember complex MongoDB commands. As you fill in the blanks, we automatically generate the necessary commands for reuse in admin scripts or for fine-tuning syntax as needed. Additionally, dbKoda comes equipped with an SSH terminal, granting direct command line access to the server OS, enabling you to execute OS commands seamlessly within the dbKoda environment, which enhances overall workflow efficiency. This integrated approach ensures that both development and administrative tasks can be completed with greater ease and effectiveness.

Navicat for PostgreSQL is a user-friendly graphical interface designed for the development of PostgreSQL databases. It caters to a diverse audience, ranging from newcomers to the database world to experienced developers, enabling tasks from crafting basic SQL queries to building intricate database structures. Users can connect to both local and remote PostgreSQL servers, and it is compatible with cloud-based solutions such as Amazon Redshift, Amazon Aurora, Amazon RDS, Google Cloud, and Microsoft Azure, supporting all types of PostgreSQL database objects. Additionally, Navicat offers access to its Navicat Cloud service, allowing users to synchronize their connection settings and queries with the cloud, facilitating real-time access to queries and connections from virtually anywhere. This capability empowers users to enhance productivity by maximizing every moment of their workday. Furthermore, Navicat ensures secure communication by enabling SSH sessions through SSH Tunneling, which provides robust authentication and encryption between hosts; users can choose to authenticate using either a password or a public/private key pair, enhancing security measures even further.

Secure your connection using SSL encryption or establish a tunnel via SSH for enhanced safety. Store your connection password securely, as Beekeeper Studio will ensure it is encrypted for your protection. The integrated editor features syntax highlighting and auto-complete capabilities for your tables, allowing you to work efficiently and effortlessly. You can open multiple tabs simultaneously, facilitating a seamless workflow without the need to toggle between different windows. Each table's DDL and data views are conveniently placed in their own tabs as well! Furthermore, you can easily save and categorize frequently used queries, making them readily accessible across all your connections. With Beekeeper's SQL table creator, you can swiftly create, modify, and remove table columns in just a few clicks. Exporting a table to formats such as CSV, JSON, JSONL, or SQL is also simplified, allowing you to do so with minimal effort. Additionally, you have the option to apply filters during the export process, ensuring you retrieve only the specific data you require. This flexibility enhances productivity and streamlines your data management tasks.