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MapD

5
22
+ 1
4
TrailDB

1
14
+ 1
0
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MapD vs TrailDB: What are the differences?

Developers describe MapD as "Open source GPU-Powered Database". Interactively query and visualize massive datasets with the parallel power of GPUs. On the other hand, TrailDB is detailed as "An efficient tool for storing and querying series of events, by AdRoll". TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

MapD and TrailDB can be categorized as "Databases" tools.

MapD and TrailDB are both open source tools. MapD with 1.91K GitHub stars and 271 forks on GitHub appears to be more popular than TrailDB with 962 GitHub stars and 64 GitHub forks.

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Pros of MapD
Pros of TrailDB
  • 3
    Super fast, and the approach taken
  • 1
    Hehe
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    What is MapD?

    Interactively query and visualize massive datasets with the parallel power of GPUs.

    What is TrailDB?

    TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

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    What companies use MapD?
    What companies use TrailDB?
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      What tools integrate with MapD?
      What tools integrate with TrailDB?
        No integrations found

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        What are some alternatives to MapD and TrailDB?
        Tableau
        Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        Clickhouse
        It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        See all alternatives
        Interest over time