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ArangoDB

274
443
+ 1
192
Tibero

9
16
+ 1
11
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ArangoDB vs Tibero: What are the differences?

1. Data Model: ArangoDB is a multi-model database, supporting key/value, document, and graph data models, providing flexibility in data modeling. On the other hand, Tibero is a relational database management system (RDBMS) with a strict adherence to the relational data model, making it suitable for traditional, structured data storage and retrieval.

2. Indexing: ArangoDB offers automatic indexing on document fields and supports full-text search, making it efficient for various types of queries. In contrast, Tibero requires explicit indexing for queries to perform well, providing more control over query optimization but requiring more manual intervention.

3. Language Support: ArangoDB supports multiple query languages, including AQL (ArangoDB Query Language), JavaScript, and more, catering to different developer preferences and use cases. Tibero primarily uses SQL (Structured Query Language) for querying and data manipulation, making it familiar to SQL developers but limiting flexibility in query language choices.

4. Scaling: ArangoDB natively supports horizontal scaling through sharding, allowing for distributed data storage and query processing across multiple nodes. Tibero supports vertical scaling by running on powerful hardware, making it suitable for large datasets that can be handled on a single server.

5. Application Compatibility: ArangoDB is commonly used in applications that require diverse data structures and relationships, such as social networks, content management systems, and recommendation engines. Tibero is well-suited for applications with structured data requirements, particularly in industries like finance, healthcare, and government, where data integrity and consistency are critical.

6. Licensing Model: ArangoDB is open-source under the Apache 2.0 license, offering a free community edition for non-commercial use and affordable enterprise editions with additional features. Tibero is a commercial database with different licensing options based on the number of cores or users, making it more suitable for organizations looking for comprehensive support and services.

In Summary, ArangoDB and Tibero differ in their data model flexibility, indexing strategies, query language support, scaling capabilities, application compatibility, and licensing models, catering to diverse database requirements.

Decisions about ArangoDB and Tibero
Daniel Moya
Data Engineer at Dimensigon · | 4 upvotes · 428K views

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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Pros of ArangoDB
Pros of Tibero
  • 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
    Enterprise Edition all inclusive without extra purchase
  • 1
    Reliable shared server
  • 1
    Multi-node parallel recovery
  • 1
    High security database encryption
  • 1
    Hyper-thread architecture
  • 1
    Active or passive standby DB capability
  • 1
    High performance transaction processing
  • 1
    Lower TCO
  • 1
    Simple Licensing model
  • 1
    High availability (Active-Active clustering)
  • 1
    Highly compatible with Oracle

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Cons of ArangoDB
Cons of Tibero
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
    Be the first to leave a con

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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 Tibero?

    It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.

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

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    What are some alternatives to ArangoDB and Tibero?
    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