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Atlas-DB

5
58
+ 1
0
Apache Drill

62
136
+ 1
14
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Atlas-DB vs Apache Drill: What are the differences?

Developers describe Atlas-DB as "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. On the other hand, Apache Drill is detailed as "Schema-Free SQL Query Engine for Hadoop and NoSQL". Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

Atlas-DB and Apache Drill can be categorized 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, Apache Drill provides the following key features:

  • Low-latency SQL queries
  • Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.
  • ANSI SQL

Atlas-DB is an open source tool with 2.4K GitHub stars and 204 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.

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Pros of Atlas-DB
Pros of Apache Drill
    Be the first to leave a pro
    • 4
      NoSQL and Hadoop
    • 3
      Free
    • 3
      Lightning speed and simplicity in face of data jungle
    • 1
      Well documented for fast install
    • 1
      Nested Data support
    • 1
      Read Structured and unstructured data
    • 1
      V1.10 released - https://drill.apache.org/

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    - No public GitHub repository available -

    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 Apache Drill?

    Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Atlas-DB?
    What companies use Apache Drill?
    See which teams inside your own company are using Atlas-DB or Apache Drill.
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    What tools integrate with Atlas-DB?
    What tools integrate with Apache Drill?
      No integrations found
      What are some alternatives to Atlas-DB and Apache Drill?
      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