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ArangoDB

275
442
+ 1
192
ScyllaDB

131
182
+ 1
8
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ArangoDB vs Scylla: What are the differences?

Introduction: In this comparison, we will highlight key differences between ArangoDB and Scylla, two popular databases.

  1. Data Model: ArangoDB utilizes a multi-model approach, supporting graphs, key-value pairs, and documents, allowing for greater flexibility in data modeling. On the other hand, Scylla focuses primarily on a wide-column store, emphasizing performance and scalability for big data applications.

  2. Consistency: ArangoDB supports ACID transactions, offering strong consistency guarantees for data operations. In contrast, Scylla prioritizes high availability and partition tolerance, leading to eventual consistency with tunable consistency levels.

  3. Query Language: ArangoDB uses AQL (ArangoDB Query Language), a SQL-like query language that supports complex queries across different data models. Scylla, being a wide-column store, interfaces with CQL (Cassandra Query Language), optimized for querying data in a distributed environment.

  4. Scalability: Both databases are designed for scalability, but with different approaches. ArangoDB utilizes a distributed architecture for horizontal scalability, while Scylla leverages the shared-nothing architecture and consistent hashing to achieve high performance and linear scalability.

  5. Performance: Scylla is known for its exceptional performance, achieving low latency and high throughput for read and write operations. ArangoDB also offers good performance, especially for graph data processing, although not as specialized as Scylla in certain use cases.

  6. Community Support and Ecosystem: ArangoDB has a vibrant open-source community and ecosystem, offering various tools and integrations for developers. Scylla, being based on Apache Cassandra, benefits from a large community and ecosystem centered around Cassandra, providing extensive support and resources for users.

In Summary, the key differences between ArangoDB and Scylla lie in their data models, consistency models, query languages, scalability approaches, performance characteristics, and community support ecosystems.

Advice on ArangoDB and ScyllaDB
Vinay Mehta
Needs advice
on
CassandraCassandra
and
ScyllaDBScyllaDB

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

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Replies (4)
Recommends
on
ScyllaDBScyllaDB

Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring

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Alex Peake
Recommends
on
CassandraCassandra

Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.

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Recommends
on
ScyllaDBScyllaDB

By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.

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Pankaj Soni
Chief Technical Officer at Software Joint · | 2 upvotes · 144.8K views
Recommends
on
CassandraCassandra

i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra

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Decisions about ArangoDB and ScyllaDB
Tom Klein

The Gentlent Tech Team made lots of updates within the past year. The biggest one being our database:

We decided to migrate our #PostgreSQL -based database systems to a custom implementation of #Cassandra . This allows us to integrate our product data perfectly in a system that just makes sense. High availability and scalability are supported out of the box.

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Pros of ArangoDB
Pros of ScyllaDB
  • 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
  • 2
    Replication
  • 1
    Fewer nodes
  • 1
    Distributed
  • 1
    Scale up
  • 1
    High availability
  • 1
    Written in C++
  • 1
    High performance

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Cons of ArangoDB
Cons of ScyllaDB
  • 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 ScyllaDB?

    ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows.

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

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    What are some alternatives to ArangoDB and ScyllaDB?
    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