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Cassandra vs Flyway: What are the differences?

Key Differences between Cassandra and Flyway

Cassandra and Flyway are two popular tools in the world of databases, although they serve different purposes. Here are the key differences between Cassandra and Flyway:

  1. Data Model: Cassandra is a NoSQL database that uses a wide column data model, making it ideal for handling large amounts of data with varying structures. On the other hand, Flyway is a database migration tool that focuses on managing and automating the process of database schema changes in SQL-based databases.

  2. Purpose: Cassandra is designed for use cases that require high scalability and high availability, such as big data and real-time applications. It excels at handling large amounts of data distributed across multiple servers. Flyway, on the other hand, is primarily used for managing and versioning database schema changes during the software development lifecycle.

  3. Query Language: Cassandra uses Cassandra Query Language (CQL), which is a SQL-like language specifically designed for interacting with the Cassandra database. Flyway, on the other hand, primarily relies on standard SQL for executing database migration scripts.

  4. Consistency Model: Cassandra uses a tunable consistency model, where users can specify the level of consistency they desire for their operations. It allows for eventual consistency and supports tunable consistency levels. Flyway, being a database migration tool, does not impose any consistency model as it focuses on executing predefined SQL migration scripts.

  5. Replication: Cassandra provides built-in support for replication, allowing data to be replicated across multiple nodes for high availability and fault tolerance. Replication strategies can be configured to define how the data is distributed and replicated in the cluster. Flyway, on the other hand, does not deal with replication as it is more focused on managing schema changes.

  6. Usage Scenarios: Due to its scalability and high availability features, Cassandra is often used in use cases where real-time access to big data is required, such as social media platforms and IoT applications. Flyway, on the other hand, is widely used in software development processes to ensure consistent and automated database schema versioning and migration.

In summary, Cassandra is a NoSQL database designed for handling large amounts of distributed data, while Flyway is a database migration tool focused on managing and automating schema changes in SQL-based databases during software development.

Advice on Cassandra and Flyway
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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Pankaj Soni
Chief Technical Officer at Software Joint · | 2 upvotes · 173K 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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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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Pros of Cassandra
Pros of Flyway
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
  • 26
    Reliable
  • 26
    Multi datacenter deployments
  • 10
    Schema optional
  • 9
    OLTP
  • 8
    Open source
  • 2
    Workload separation (via MDC)
  • 1
    Fast
  • 13
    Superb tool, easy to configure and use
  • 9
    Very easy to config, great support on plain sql scripts
  • 6
    Is fantastic and easy to install even with complex DB
  • 4
    Simple and intuitive
  • 1
    Easy tool to implement incremental migration

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Cons of Cassandra
Cons of Flyway
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
  • 3
    "Undo Migrations" requires pro version, very expensive

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What is 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.

What is Flyway?

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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What companies use Cassandra?
What companies use Flyway?
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What tools integrate with Cassandra?
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What are some alternatives to Cassandra and Flyway?
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Google Cloud Bigtable
Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Couchbase
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
See all alternatives