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ArangoDB

260
413
+ 1
190
Vitess

49
140
+ 1
0
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ArangoDB vs Vitess: What are the differences?

ArangoDB: 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; Vitess: It is a database clustering system for horizontal scaling of MySQL. It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.

ArangoDB and Vitess can be primarily classified as "Databases" tools.

Some of the features offered by ArangoDB are:

  • multi-model nosql db
  • acid
  • transactions

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

  • Scalability
  • Connection pooling
  • Manageability

ArangoDB is an open source tool with 8.22K GitHub stars and 578 GitHub forks. Here's a link to ArangoDB's open source repository on GitHub.

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Pros of ArangoDB
Pros of Vitess
  • 36
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Open source
  • 25
    Good documentation
  • 20
    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
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    Cons of ArangoDB
    Cons of Vitess
    • 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 Vitess?

      It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.

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

      Jobs that mention ArangoDB and Vitess as a desired skillset
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      What companies use ArangoDB?
      What companies use Vitess?
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      What tools integrate with ArangoDB?
      What tools integrate with Vitess?

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      What are some alternatives to ArangoDB and Vitess?
      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