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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
Database - Considering the traffic and scale of the service we can go with a non-relational database(MongoDB, Apache Cassandra, etc..) or a relational database(PostgreSQL, MySQL, etc...) and Redis for in-memory caching.
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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.
Database - Considering the traffic and scale of the service we can go with a non-relational database(MongoDB, Apache Cassandra, etc..) or a relational database(PostgreSQL, MySQL, etc...) and Redis for in-memory caching.
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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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Database - Considering the traffic and scale of the service we can go with a non-relational database(MongoDB, Apache Cassandra, etc..) or a relational database(PostgreSQL, MySQL, etc...) and Redis for in-memory caching.
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Elasticsearch is a fast and scalable solution for searching. It consists of documents which are the basic units of information. It may consist of plain text or it can also be a structured JSON. A collection of these documents that have similar characteristics make up an index. It’s an entity that can be queried against in elasticsearch.
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Redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Database - Considering the traffic and scale of the service we can go with a non-relational database(MongoDB, Apache Cassandra, etc..) or a relational database(PostgreSQL, MySQL, etc...) and Redis for in-memory caching.
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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.
A Binary Large Object (BLOB) is a collection of binary data stored as a single entity in a database management system. This can be used to store encoded videos generated from the process queues. AWS S3, Azure Blob Storage, and Google Cloud Storage are a few available services that we can use. To further optimize this solution we can move the most popular videos to a CDN cache.
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nodejs-bigquery
Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.
Google BigQuery
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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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