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What is MapD?

Interactively query and visualize massive datasets with the parallel power of GPUs.
MapD is a tool in the Databases category of a tech stack.
MapD is an open source tool with 2.1K GitHub stars and 288 GitHub forks. Here鈥檚 a link to MapD's open source repository on GitHub

Who uses MapD?

Companies

Developers

MapD Integrations

MySQL, PostgreSQL, Amazon S3, Kafka, and Microsoft SQL Server are some of the popular tools that integrate with MapD. Here's a list of all 11 tools that integrate with MapD.

Why developers like MapD?

Here鈥檚 a list of reasons why companies and developers use MapD
Top Reasons

MapD's Features

  • SQL
  • GPU-powered
  • column store
  • fast
  • scalable
  • interactive visualization
  • machine learning

MapD Alternatives & Comparisons

What are some alternatives to MapD?
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.
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.
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.
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.
See all alternatives

MapD's Followers
18 developers follow MapD to keep up with related blogs and decisions.
Todd Mostak
jordanarseno
Nicolas Marshall
Anderson Luiz Peligrini
B Raphael
Jos茅 Dulanto
iat00
Roberto B.
h0rn3t
Blair Gemmer