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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MapD vs Pouchdb

MapD vs Pouchdb

OverviewComparisonAlternatives

Overview

Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K
MapD
MapD
Stacks32
Followers24
Votes4

MapD vs Pouchdb: What are the differences?

MapD: Open source GPU-Powered Database. Interactively query and visualize massive datasets with the parallel power of GPUs; Pouchdb: Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser. PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

MapD and Pouchdb can be primarily classified as "Databases" tools.

Some of the features offered by MapD are:

  • SQL
  • GPU-powered
  • column store

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

  • Cross browser compatibility
  • Lightweight
  • Easy to learn

MapD and Pouchdb are both open source tools. It seems that Pouchdb with 12.1K GitHub stars and 1.21K forks on GitHub has more adoption than MapD with 1.91K GitHub stars and 271 GitHub forks.

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Detailed Comparison

Pouchdb
Pouchdb
MapD
MapD

PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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

Cross browser compatibility; Lightweight; Easy to learn; Open source
SQL; GPU-powered; column store; fast; scalable; interactive visualization; machine learning
Statistics
GitHub Stars
17.5K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
148
Stacks
32
Followers
242
Followers
24
Votes
6
Votes
4
Pros & Cons
Pros
  • 2
    Offline cache
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication
  • 1
    JSON
Pros
  • 3
    Super fast, and the approach taken
  • 1
    Hehe
Integrations
No integrations available
Hadoop
Hadoop
Amazon S3
Amazon S3
Apache Spark
Apache Spark
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Kafka
Kafka
PostgreSQL
PostgreSQL
IBM DB2
IBM DB2
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle

What are some alternatives to Pouchdb, MapD?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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