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ArangoDB

275
442
+ 1
192
YugabyteDB

52
114
+ 1
1
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ArangoDB vs YugabyteDB: What are the differences?

Introduction: ArangoDB and YugabyteDB are two popular databases that offer powerful features for different use cases. Understanding the key differences between these databases can help in making an informed decision for choosing the right database for a specific project.

  1. Data Model: ArangoDB is a multi-model database that supports key-value, document, and graph data models, allowing developers to choose the best model for their data. On the other hand, YugabyteDB is a distributed SQL database that supports the relational data model, providing strong consistency and support for complex queries.

  2. Consistency Model: ArangoDB offers multi-model, multi-workload capabilities with a flexible consistency model, allowing users to choose between strong consistency, eventual consistency, or a mix of both. In contrast, YugabyteDB provides strict serializability and strong consistency guarantees across distributed transactions, ensuring data integrity in complex distributed environments.

  3. Distributed Architecture: ArangoDB provides built-in sharding and replication for high availability and scalability, allowing users to distribute data across multiple nodes in a cluster. YugabyteDB is built on a distributed architecture with automatic sharding, replication, and failover mechanisms, making it suitable for mission-critical applications requiring high availability and fault tolerance.

  4. Query Language: ArangoDB uses a combination of AQL (ArangoDB Query Language) and declarative query language for querying data across different data models. In comparison, YugabyteDB supports standard SQL queries with extensions for distributed SQL, enabling developers to leverage their existing SQL skills and tools for interacting with the database.

  5. Deployment Options: ArangoDB can be deployed on-premises, in the cloud, or using containers for flexibility in deployment options. YugabyteDB offers cloud-native deployment options with Kubernetes orchestration, allowing users to easily deploy, scale, and manage the database in a cloud-native environment.

  6. Community and Ecosystem: ArangoDB has a strong open-source community and ecosystem with active contributors, plugins, and extensions, providing additional functionalities and integrations with popular tools. YugabyteDB also has a growing community and ecosystem with active development, integrations with cloud platforms, and support for various programming languages.

In Summary, understanding the key differences between ArangoDB and YugabyteDB in data model, consistency model, distributed architecture, query language, deployment options, and community ecosystem can help in making an informed decision for choosing the right database for specific project requirements.

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Pros of ArangoDB
Pros of YugabyteDB
  • 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
  • 1
    Compatible with the result of pg_dump

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Cons of ArangoDB
Cons of YugabyteDB
  • 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 YugabyteDB?

    An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

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    What companies use ArangoDB?
    What companies use YugabyteDB?
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    What tools integrate with ArangoDB?
    What tools integrate with YugabyteDB?

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    What are some alternatives to ArangoDB and YugabyteDB?
    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