DbVisualizer
DbVisualizer is one of the world’s most popular database clients.
Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries.
It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes.
Free and Pro versions are available.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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PartiQL
PartiQL extends SQL in a manner that is straightforward, allowing nested data to be treated as integral components and enabling a smooth integration with SQL itself. This capability facilitates intuitive operations such as filtering, joining, and aggregating various types of data, including structured, semistructured, and nested datasets. By decoupling the syntax and semantics of queries from the actual data format or storage system, PartiQL provides a cohesive querying experience across diverse data stores and formats. It empowers users to engage with data irrespective of the presence of a standard schema. Additionally, the components of PartiQL—including its syntax, semantics, embedded reference interpreter, command-line interface, testing framework, and associated tests—are distributed under the Apache License, version 2.0. This licensing grants users the freedom to use, modify, and share their contributions while adhering to their preferred terms. Thus, the overall design of PartiQL enhances accessibility and flexibility in data management across various platforms.
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bit.io
Experience a robust, singular Postgres database designed for both public and private information. Seamlessly add data in mere seconds and conduct queries across the entire dataset with ease. Sharing is effortless with just a click; simply select Upload or drag your dataset directly onto bit.io to incorporate tables into your repositories. You can invite friends, assemble teams, or share links to your repository while managing specific access permissions. If you stumble upon intriguing data while navigating the site, feel free to query it anytime, from anywhere. For public repositories, accessing and querying data is instantaneous. Here are several examples of how to effectively utilize data within bit.io. With security as a top priority, we ensure that your database is not inadvertently exposed to the internet, mitigating risks associated with default or absent passwords. Your data remains secure both during transmission, thanks to TLS/SSL encryption, and while stored on disk. Revoking access is straightforward; a single button click replaces the need for convoluted SQL commands. Check out our sample repository, explore freely, and don't hesitate to create your own repository with our data for further experimentation. The platform is user-friendly, making data management a breeze.
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