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Atlas-DB

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pghoard

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Atlas-DB vs pghoard: What are the differences?

Atlas-DB: Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly; pghoard: Tools for making PostgreSQL backups to cloud object storages. pghoard is a PostgreSQL backup daemon and restore tooling for cloud object storages.

Atlas-DB and pghoard can be primarily classified as "Database" tools.

Some of the features offered by Atlas-DB are:

  • Manages dimensional time series data
  • In-memory data storage
  • Captures operational intelligence

On the other hand, pghoard provides the following key features:

  • Automatic periodic basebackups
  • Automatic transaction log (WAL/xlog) backups (using either pgreceivexlog or archivecommand)
  • Cloud object storage support (AWS S3, Google Cloud, OpenStack Swift, Azure, Ceph)

Atlas-DB and pghoard are both open source tools. It seems that Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub has more adoption than pghoard with 903 GitHub stars and 65 GitHub forks.

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What is Atlas-DB?

Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

What is pghoard?

pghoard is a PostgreSQL backup daemon and restore tooling for cloud object storages.

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What tools integrate with Atlas-DB?
What tools integrate with pghoard?
    No integrations found
    What are some alternatives to Atlas-DB and pghoard?
    MongoDB Atlas
    MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
    Azure Cosmos DB
    Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Slick
    It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
    Spring Data
    It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
    See all alternatives