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Mikro orm VS Apache Cassandra

Compare Mikro orm VS Apache Cassandra and see what are their differences

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Mikro orm logo Mikro orm

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Mikro orm Landing page
    Landing page //
    2021-09-10
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Mikro orm features and specs

  • TypeScript Support
    MikroORM provides first-class TypeScript support, which ensures type safety and better tooling support for developers using TypeScript in their applications.
  • Supports Multiple Databases
    It is compatible with several relational databases like MySQL, PostgreSQL, SQLite, and even NoSQL databases like MongoDB, allowing flexible database management.
  • Lightweight and Efficient
    Designed to be lightweight, MikroORM offers efficient query performance and lower memory overhead compared to some heavier ORMs.
  • Active Community and Documentation
    MikroORM's documentation is comprehensive and the community is active, which makes it easier for developers to find help and resources.
  • Entity Management
    MikroORM allows powerful entity management, including features like lifecycle hooks, auto-flushing, and fully typed data models.

Possible disadvantages of Mikro orm

  • Complexity for Beginners
    New developers might find MikroORM complex compared to simpler solutions like Sequelize, particularly due to its rich feature set and TypeScript integration.
  • Learning Curve
    The learning curve can be steep for those unfamiliar with TypeScript or ORM concepts since it requires understanding both to use effectively.
  • Less Mature than Some Alternatives
    Being a relatively newer ORM, it may lack some of the battle-tested features and stability found in more established ORMs like TypeORM or Sequelize.
  • Limited Advanced Features
    MikroORM might not support certain advanced use-cases or specific database features out-of-the-box, potentially requiring custom solutions.

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Mikro orm videos

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Apache Cassandra videos

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Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Mikro orm and Apache Cassandra)

Mikro orm

Apache Cassandra

Web Frameworks
100 100%
Web Frameworks
0% 0
Databases
0 0%
Databases
100% 100
Development
100 100%
Development
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Mikro orm and Apache Cassandra

Mikro orm Reviews

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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Mikro orm. It has been mentiond 44 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Mikro orm mentions (26)

  • Show HN: DBOS TypeScript – Lightweight Durable Execution Built on Postgres
    Why typeorm over something like https://mikro-orm.io/? - Source: Hacker News / 4 months ago
  • Rust GraphQL APIs for NodeJS Developers: Introduction
    In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / over 1 year ago
  • Top 6 ORMs for Modern Node.js App Development
    Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use. - Source: dev.to / over 1 year ago
  • We migrated to SQL. Our biggest learning? Don't use Prisma
    I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way. [0] https://mikro-orm.io/. - Source: Hacker News / over 1 year ago
  • The Epic Stack by Kent C. Dodds
    It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage. [1] https://mikro-orm.io/. - Source: Hacker News / about 2 years ago
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Apache Cassandra mentions (44)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 19 days ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 months ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Mikro orm and Apache Cassandra, you can also consider the following products

Beego - Beego Web is official blog and documentation website for beego app web framework

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Hibernate - Hibernate an open source Java persistence framework project.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Dapper - Dapper is a user-friendly object mapper for the .NET framework.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

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