Get Advice Icon

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

MapD
MapD

4
18
+ 1
4
RethinkDB
RethinkDB

229
217
+ 1
296
Add tool

MapD vs RethinkDB: What are the differences?

MapD: Open source GPU-Powered Database. Interactively query and visualize massive datasets with the parallel power of GPUs; RethinkDB: JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

MapD and RethinkDB belong to "Databases" category of the tech stack.

Some of the features offered by MapD are:

  • SQL
  • GPU-powered
  • column store

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

  • JSON data model and immediate consistency.
  • Distributed joins, subqueries, aggregation, atomic updates.
  • Secondary, compound, and arbitrarily computed indexes.

"Super fast, and the approach taken" is the top reason why over 2 developers like MapD, while over 46 developers mention "Powerful query language" as the leading cause for choosing RethinkDB.

MapD and RethinkDB are both open source tools. It seems that RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub has more adoption than MapD with 1.91K GitHub stars and 271 GitHub forks.

What is MapD?

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

What is RethinkDB?

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
Get Advice Icon

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

Why do developers choose MapD?
Why do developers choose RethinkDB?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
      Be the first to leave a con
      What companies use MapD?
      What companies use RethinkDB?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with MapD?
      What tools integrate with RethinkDB?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to MapD and RethinkDB?
      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
      Decisions about MapD and RethinkDB
      艁ukasz Korecki
      艁ukasz Korecki
      CTO & Co-founder at EnjoyHQ | 12 upvotes 29.9K views
      atEnjoyHQEnjoyHQ
      PostgreSQL
      PostgreSQL
      MongoDB
      MongoDB
      RethinkDB
      RethinkDB

      We initially chose RethinkDB because of the schema-less document store features, and better durability resilience/story than MongoDB In the end, it didn't work out quite as we expected: there's plenty of scalability issues, it's near impossible to run analytical workloads and small community makes working with Rethink a challenge. We're in process of migrating all our workloads to PostgreSQL and hopefully, we will be able to decommission our RethinkDB deployment soon.

      See more
      Interest over time
      Reviews of MapD and RethinkDB
      No reviews found
      How developers use MapD and RethinkDB
      Avatar of Sine Wave Entertainment
      Sine Wave Entertainment uses RethinkDBRethinkDB

      High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.

      Avatar of Runbook
      Runbook uses RethinkDBRethinkDB

      Main database, using it in multiple datacenters in an active-active configuration.

      Avatar of Tobe O
      Tobe O uses RethinkDBRethinkDB

      Angel includes support for multiple databases, out-of-the-box.

      Avatar of Mike MacCana
      Mike MacCana uses RethinkDBRethinkDB

      As a boring document oriented database with safe defaults.

      Avatar of Domraider
      Domraider uses RethinkDBRethinkDB

      Sharded and replicated storage, NoSQL with joins

      How much does MapD cost?
      How much does RethinkDB cost?
      Pricing unavailable
      Pricing unavailable
      News about MapD
      More news