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Dapper VS Apache Cassandra

Compare Dapper VS Apache Cassandra and see what are their differences

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Dapper logo Dapper

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

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Dapper Landing page
    Landing page //
    2024-09-11
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Dapper features and specs

  • Performance
    Dapper is known for its high performance as it uses raw SQL queries and maps results directly to objects, which reduces the overhead of ORM frameworks.
  • Lightweight
    It is a micro ORM and thus does not add significant weight to the application. It only requires a single DLL, which is simple to integrate.
  • Flexibility
    Dapper provides the flexibility to write complex queries and take full advantage of SQL features, performing tasks that are cumbersome with full ORMs.
  • Easy Mapping
    Allows easy mapping of data from the database to C# objects, helping developers handle the conversion between the two seamlessly.
  • Open Source and Support
    Dapper is open-source and has a strong community support with regular updates and a wealth of resources available for learning and troubleshooting.

Possible disadvantages of Dapper

  • Lack of Built-in Features
    As a micro ORM, Dapper lacks some of the advanced features present in full-featured ORMs like Entity Framework, such as change tracking and full LINQ support.
  • Manual SQL Queries
    Developers need to write SQL queries manually, which can increase the risk of SQL injection and bugs if not handled carefully.
  • No Automatic Migration
    Unlike some ORMs, Dapper does not offer automatic database migration capabilities, requiring developers to handle schema changes separately.
  • Limited Database Support
    While Dapper supports many popular databases, it may not support niche databases or specific features that are easily managed by other ORMs.

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.

Dapper videos

DAPPER FRAGRANCES REVIEW... NOT SPONSORED!

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  • Review - Sharp and Dapper most comprehensive Review Ever. Sharp and Dapper Shirt Stays.
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Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Dapper and Apache Cassandra)
Web Frameworks
100 100%
0% 0
Databases
3 3%
97% 97
Development
100 100%
0% 0
NoSQL Databases
0 0%
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 Dapper and Apache Cassandra

Dapper Reviews

Essential .NET Core Libraries that Every Programmer should know
Dapper is another .NET Core mapping library focusing on the mapping between the programming language and database.
Source: positiwise.com

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.
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 Dapper. 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.

Dapper mentions (8)

  • Guys, where do you shop for reasonably priced everyday office shoes?
    I've also heard good things about Thursday but never pulled the trigger. I tend to like Timberland boots, and while they aren't the most long-lasting, they are comfortable and can be had for very cheap if you wait for sales. I also have a pair of Banana Republic boots that I bought in a pinch a few years ago that have held up remarkably well and are super comfy. But Banana has gone through several revamps since... Source: almost 2 years ago
  • Fashion advice for men
    Dappered.com They focus on budget friendly mens fashion beginner stuff. The most helpful is that they'll point out sales, but then give you direct recommendations on what to buy so you're not overwhelmed with choices. Source: almost 2 years ago
  • Help with wardrobe to look older and clothing that is more durable?
    The only general advice I would give is to start on dappered.com. They target clothes beginners with quality affordable brands and will tell you exactly what to buy when there's a sale. You can also go to styleforum.net. Browse through their daily fit pics threads and just kind of take a note when someone looks good and what you like about it. Source: about 2 years ago
  • affordable men's fashion recommendations??
    Dappered.com if you're in the US. Their whole thing is affordable fashion for beginners. Source: about 2 years ago
  • Trying to dress like an adult. Help?
    Dappered.com They cover low cost mens fashion. Often when they post about a sale, they'll give you specific suggestions on what to buy. Source: about 2 years ago
View more

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 Dapper and Apache Cassandra, you can also consider the following products

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

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

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

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

Hibernate - Hibernate an open source Java persistence framework project.

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