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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Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Soracom
Soracom is a worldwide leader in smart IoT connectivity, providing a cloud-native wireless service tailored for the specific requirements of connected devices. Established in 2015 with the mission to foster a more interconnected world by eliminating obstacles to IoT development, Soracom has grown to support over 20,000 clients across diverse sectors including agriculture, energy, construction, transportation, consumer electronics, manufacturing, real estate, and healthcare. Whether catering to large global corporations or rapidly expanding startups, Soracom is relied upon for its cost-effective and dependable connectivity solutions that enhance speed to market and simplify cloud integration. Additionally, Soracom holds the distinction of being an AWS IoT Competency Partner, enabling it to securely convert MQTT data to MQTTS, and transform UDP, TCP, and HTTP data into HTTPS, thereby optimizing cost efficiency. Users can also gain insights into their IoT data consumption by designing attractive, serverless dashboards, and they can execute maintenance operations remotely on their devices without the need for complex relay server setups. This comprehensive approach not only streamlines operations but also empowers businesses to focus on innovation and growth.
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Golioth
Golioth IoT cloud platform is the leading IoT development platform that enables modern engineering teams to quickly prototype and manage fleets of IoT devices.
We put hardware at the center of your CI/CD process. With a unified API and device firmware SDK, plus a strong IoT ecosystem Golioth helps engineers easily build, integrate, and manage IoT solutions–without the stress.
The only IoT cloud solution built for your entire team: from your hardware engineers to firmware developers, from cloud to data teams.
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