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Cassandra vs Sequelize: What are the differences?
Cassandra vs Sequelize: Key Differences
Cassandra and Sequelize are two popular databases used in web development. While Cassandra is a NoSQL database designed for handling large amounts of distributed data, Sequelize is an Object-Relational Mapping (ORM) library for Node.js that supports SQL databases.
Data Model: Cassandra follows a schema-agnostic model, allowing for the flexibility of adding or modifying columns without affecting existing data. On the other hand, Sequelize follows a strict schema model where the structure of the database is predefined, and any changes require migrations or manual alterations.
Query Language: Cassandra uses Query Language (CQL), a SQL-like language for data manipulation and querying. Sequelize, on the other hand, relies on SQL queries to interact with the database. This means that Cassandra provides a native way of handling NoSQL interactions, while Sequelize relies on traditional SQL query syntax.
Scaling: Cassandra is designed to scale horizontally, meaning that it can efficiently handle large amounts of data across multiple servers. It achieves this through its distributed architecture and replication strategy. Sequelize, being an ORM, relies on the underlying SQL database for scaling options, which typically involves vertical scaling by increasing hardware resources.
Data Consistency: Cassandra is known for its eventual consistency model, where data updates are not immediately propagated to all nodes. Instead, updates are eventually replicated across all nodes, resulting in lower latency but potentially introducing stale data. Sequelize, on the other hand, typically relies on the ACID properties of SQL databases, ensuring strong data consistency across all operations.
Performance: Cassandra is optimized for write-heavy workloads, making it ideal for applications that require high write throughput. Its decentralized architecture and data distribution strategy allow for efficient write scalability. Sequelize, being an ORM that relies on traditional SQL databases, may not be as performant as Cassandra for write-intensive applications.
Database Support: Cassandra is a standalone database that does not rely on any external database engine. Sequelize, on the other hand, is an ORM library that supports various SQL databases such as MySQL, PostgreSQL, and SQLite. This means that Sequelize can be used with a wide range of existing SQL databases, while Cassandra requires its own infrastructure to be set up.
In Summary, Cassandra is a schema-agnostic NoSQL database optimized for write-heavy workloads and distributed architectures, while Sequelize is an ORM library for SQL databases with stricter schemas, stronger data consistency, and support for various SQL databases.
Developing a solution that collects Telemetry Data from different devices, nearly 1000 devices minimum and maximum 12000. Each device is sending 2 packets in 1 second. This is time-series data, and this data definition and different reports are saved on PostgreSQL. Like Building information, maintenance records, etc. I want to know about the best solution. This data is required for Math and ML to run different algorithms. Also, data is raw without definitions and information stored in PostgreSQL. Initially, I went with TimescaleDB due to PostgreSQL support, but to increase in sites, I started facing many issues with timescale DB in terms of flexibility of storing data.
My major requirement is also the replication of the database for reporting and different purposes. You may also suggest other options other than Druid and Cassandra. But an open source solution is appreciated.
Hi Umair, Did you try MongoDB. We are using MongoDB on a production environment and collecting data from devices like your scenario. We have a MongoDB cluster with three replicas. Data from devices are being written to the master node and real-time dashboard UI is using the secondary nodes for read operations. With this setup write operations are not affected by read operations too.
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.
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
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.
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.
i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra
Pros of Cassandra
- Distributed119
- High performance98
- High availability81
- Easy scalability74
- Replication53
- Reliable26
- Multi datacenter deployments26
- Schema optional10
- OLTP9
- Open source8
- Workload separation (via MDC)2
- Fast1
Pros of Sequelize
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite21
- Open source14
- Free13
- Promise Based12
- Recommend for mongoose users4
- Typescript3
- Atrocious documentation, buggy, issues closed by bots3
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Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1
Cons of Sequelize
- Docs are awful30
- Relations can be confusing10