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ArangoDB

278
442
+ 1
192
MapD

29
24
+ 1
4
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ArangoDB vs MapD: What are the differences?

Developers describe ArangoDB as "A distributed open-source database with a flexible data model for documents, graphs, and key-values". 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. On the other hand, MapD is detailed as "Open source GPU-Powered Database". Interactively query and visualize massive datasets with the parallel power of GPUs.

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

Some of the features offered by ArangoDB are:

  • multi-model nosql db
  • acid
  • transactions

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

  • SQL
  • GPU-powered
  • column store

"Grahps and documents in one DB" is the top reason why over 24 developers like ArangoDB, while over 2 developers mention "Super fast, and the approach taken" as the leading cause for choosing MapD.

ArangoDB and MapD are both open source tools. It seems that ArangoDB with 8.22K GitHub stars and 576 forks on GitHub has more adoption than MapD with 1.91K GitHub stars and 271 GitHub forks.

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Pros of ArangoDB
Pros of MapD
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
  • 15
    Foxx is great platform
  • 14
    Great out of the box web interface with API playground
  • 6
    Good driver support
  • 6
    Low maintenance efforts
  • 6
    Clustering
  • 5
    Easy microservice creation with foxx
  • 4
    You can write true backendless apps
  • 2
    Managed solution available
  • 0
    Performance
  • 3
    Super fast, and the approach taken
  • 1
    Hehe

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Cons of ArangoDB
Cons of MapD
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
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    What is 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.

    What is MapD?

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

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    What companies use ArangoDB?
    What companies use MapD?
    See which teams inside your own company are using ArangoDB or MapD.
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    What tools integrate with ArangoDB?
    What tools integrate with MapD?

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    What are some alternatives to ArangoDB and MapD?
    Neo4j
    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
    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.
    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.
    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.
    OrientDB
    It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
    See all alternatives