RaimaDB
RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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SKUDONET
SKUDONET offers IT executives an affordable solution that emphasizes ease of use and adaptability, ensuring optimal performance and security for IT services. With this innovative platform, you can seamlessly improve the security and reliability of your applications through an open-source ADC, allowing for significant cost savings and unparalleled flexibility within your IT framework. This approach not only streamlines operations but also empowers organizations to respond swiftly to changing technology needs.
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Riak TS
Riak® TS is a robust NoSQL Time Series Database tailored for handling IoT and Time Series data effectively. It excels at ingesting, transforming, storing, and analyzing vast quantities of time series information. Designed to outperform Cassandra, Riak TS utilizes a masterless architecture that allows for uninterrupted data read and write operations, even in the event of network partitions or hardware malfunctions. Data is systematically distributed across the Riak ring, with three copies of each dataset maintained by default to ensure at least one is available for access. This distributed system operates without a central coordinator, offering a seamless setup and user experience. The ability to easily add or remove nodes from the cluster enhances its flexibility, while the masterless architecture ensures this process is straightforward. Furthermore, incorporating nodes made from standard hardware can facilitate predictable and nearly linear scaling, making Riak TS an ideal choice for organizations looking to manage substantial time series datasets efficiently.
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KairosDB
KairosDB facilitates data ingestion using multiple protocols, such as Telnet, REST, and Graphite, while also allowing for plugin support to enhance its flexibility. By leveraging Cassandra, a prominent NoSQL database, it effectively manages time series data storage. The schema is designed with three column families to optimize data organization and retrieval. The API is equipped with various features, enabling users to list existing metric names, retrieve tag names along with their values, store metric data points, and conduct queries for detailed analysis. After a typical installation, users can conveniently access a query page that simplifies the data extraction process from the database. This tool is mainly aimed at development-related applications. The system includes aggregators capable of performing various operations on the data points, which supports down sampling and thorough analysis. Users can take advantage of a collection of standard functions like min, max, sum, count, and mean, among others, to aid their data manipulation efforts. Furthermore, the KairosDB server offers import and export capabilities through a command line interface, enhancing usability. Internal metrics related to the database provide valuable insights into the stored information while also enabling monitoring of the server's performance, which is crucial for maintaining optimal functionality. This thorough approach positions KairosDB as a robust solution for the management of time series data, making it an excellent choice for developers seeking efficiency and effectiveness in their applications.
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