Our great sponsors
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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nodejs-storage
Node.js client for Google Cloud Storage: unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archiving.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.
ReductStore{:target="_blank"} is a unique time-series database that offers a specialized database for storing MQTT data in the form of time-series blob data.
PostgreSQL{:target="_blank"} is another popular open-source RDBMS known for its robustness, extensibility, and support for advanced features like JSON data types and spatial indexing.
MySQL{:target="_blank"} is an open-source RDBMS that is widely used in IoT projects due to its simplicity, reliability, and scalability. It offers strong data consistency and supports efficient querying using SQL.
MongoDB{:target="_blank"} is a document-oriented database with high scalability and flexibility for handling unstructured or semi-structured data. It offers rich querying capabilities, indexing options, and support for distributed data storage with a technique called “sharding”.
Prometheus{:target="_blank"}: another widely used open-source monitoring system and time-series database designed for collecting metrics from various sources. It offers powerful querying capabilities, alerting functionalities, and easy integration with Grafana (an open-source visualization and monitoring tool).
Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options.
Apache Cassandra{:target="_blank"} is a highly scalable and fault-tolerant database that can handle large volumes of data across multiple nodes or clusters. It provides fast read and write operations, making it suitable for real-time analytics or applications with high throughput requirements.