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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DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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Qliktag
Qliktag is a product digitalization platform that helps companies connect physical goods with secure digital identities and interactive digital experiences. Each item can be assigned a unique digital twin or token and linked to the physical product using secure NFC technology. The platform supports both on-chain and off-chain tokenization, allowing organizations to create digital representations of individual products without committing every use case to blockchain infrastructure. Secure NFC tags can be embedded into products and encoded with unique digital links generated through the Qliktag platform. Customers can tap these tags to verify authenticity, access product information, confirm ownership, or unlock exclusive digital content and experiences. Qliktag also supports digital product passports, track-and-trace applications, repair and service histories, ownership records, sustainability information, and circular economy workflows. Brands can pair products with NFTs or smart contracts to enable features such as royalties, digital ownership transfers, warranties, memberships, and gated access. A drag-and-drop interaction designer gives teams a way to build and customize the digital experiences associated with each physical item. Qliktag is suited to luxury goods, fashion, art, collectibles, sports memorabilia, merchandise, and other products where authenticity, uniqueness, provenance, and consumer engagement can add value.
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OORT DataHub
Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets.
Platform Highlights:
Worldwide Collection: Tap into global contributors for comprehensive data gathering
Blockchain Security: Every contribution tracked and verified on-chain
Quality Focus: Expert validation ensures exceptional data standards
Platform Benefits:
Rapid scaling of data collection
Complete data providence tracking
Validated datasets ready for AI use
Cost-efficient global operations
Flexible contributor network
How It Works:
Define Your Needs: Create your data collection task
Community Activation: Global contributors notified and start gathering data
Quality Control: Human verification layer validates all contributions
Sample Review: Get dataset sample for approval
Full Delivery: Complete dataset delivered once approved
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