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DappRadar VS Apache Cassandra

Compare DappRadar VS Apache Cassandra and see what are their differences

DappRadar logo DappRadar

A list of the best decentralised Ethereum applications

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • DappRadar Landing page
    Landing page //
    2022-11-03
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

DappRadar videos

Instadapp | DappRadar Review

More videos:

  • Review - JUST | DappRadar Review
  • Review - TRONTRADE | DappRadar Review

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to DappRadar and Apache Cassandra)
Crypto
100 100%
0% 0
Databases
0 0%
100% 100
Web App
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 DappRadar and Apache Cassandra

DappRadar Reviews

We have no reviews of DappRadar yet.
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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.
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 DappRadar. It has been mentiond 41 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.

DappRadar mentions (12)

  • DappRadar: from advertising NFTs to utility NFTs
    The new DappRadar Report on Blockchain Technology Adoption and Decentralized Applications (DApp) highlighted that despite bearish trends in the crypto market during 2022, the NFT industry experienced significant growth. Source: about 1 year ago
  • Learn with Hamsters today! 📚
    DappRadar - the most popular tracker that provides information and insights about all the existing dapps! Source: over 1 year ago
  • NEAR WEEK Edition # 59 Is Out! 📣
    The Aurora Network is live on DappRadar. You can now explore the data of your favorite Aurora Dapps on dappradar.com. Source: almost 2 years ago
  • UniLend’s Permissionless DApp is now listed on DappRadar! 🎉
    🗺 DappRadar is a data acquisition and analysis company that tracks over 3,500 decentralized applications (dapps) across multiple blockchains. Source: about 2 years ago
  • Global Metaverse Bootcamp: Part 1
    The Flow blockchain from Dapper Labs, the creators of CryptoKitties, chase Flow Blockchain: Home of NBA TopShoot. With NBA TopShoot brands embracing blockchain, NBA teams, players, and history are minted into NFTs that are sold to fans. Over 100M in crypto-collectible NFT has been sold. - Source: dev.to / over 2 years ago
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Apache Cassandra mentions (41)

  • 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 / 10 days 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 month ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 3 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
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What are some alternatives?

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

Dapp Store - DappStore is a platform, which lists all popular dApps

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

Universal Dapp Store - Discover decentralized apps on ETH, Blockstack, IPFS & more

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

AppScope - Appscope, one of the leading directories for Progressive Web Apps (PWAs).

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