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Apache Cassandra VS ElephantSQL

Compare Apache Cassandra VS ElephantSQL and see what are their differences

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

ElephantSQL logo ElephantSQL

PostgreSQL open-source database, hosted in the cloud.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • ElephantSQL Landing page
    Landing page //
    2018-09-29

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.

ElephantSQL features and specs

  • Fully Managed Service
    ElephantSQL offers a fully managed PostgreSQL service, which means users do not need to worry about database maintenance, backups, or updates. This allows developers to focus on building applications rather than database administration.
  • Scalability
    ElephantSQL provides various plans that cater to different needs, from small projects to large enterprise applications. As your application grows, you can easily scale your database to match increased demand.
  • High Availability
    ElephantSQL offers high availability features, including automated backups, failovers, and replication, ensuring minimal downtime and data loss in case of failures.
  • Easy Setup
    Setting up a PostgreSQL instance with ElephantSQL is straightforward and quick, enabling developers to get started with minimal effort.
  • Integration with Popular Cloud Platforms
    ElephantSQL can be integrated with major cloud providers, such as AWS, Google Cloud, and Heroku, providing flexibility and ease of use for cloud-based applications.

Possible disadvantages of ElephantSQL

  • Cost
    ElephantSQL can become expensive as you move to higher-tier plans, especially for startups or small businesses with limited budgets.
  • Limited Customization
    As a managed service, ElephantSQL may not offer the same level of customization and control as a self-hosted PostgreSQL instance, which could be a limitation for some advanced use cases.
  • Shared Resources on Lower Plans
    Lower-tier plans may involve shared resources, which could lead to performance bottlenecks if other users on the shared infrastructure are consuming significant resources.
  • Dependency on a Third-party Service
    Relying on a third-party service like ElephantSQL means your application's uptime is dependent on their reliability and service availability.
  • Potential Latency
    Depending on the geographic location of the ElephantSQL servers and your application servers, there may be some latency, which could impact the performance of latency-sensitive applications.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

ElephantSQL videos

No ElephantSQL videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Cassandra and ElephantSQL)
Databases
93 93%
7% 7
NoSQL Databases
93 93%
7% 7
Relational Databases
87 87%
13% 13
Graph Databases
100 100%
0% 0

User comments

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Reviews

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

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

ElephantSQL Reviews

We have no reviews of ElephantSQL yet.
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Social recommendations and mentions

Based on our record, Apache Cassandra seems to be a lot more popular than ElephantSQL. While we know about 44 links to Apache Cassandra, we've tracked only 2 mentions of ElephantSQL. 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.

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 / about 1 month 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

ElephantSQL mentions (2)

  • 🚀 Building a Fullstack App with dart_frog and Flutter in a Monorepo - Part 4
    We will be using the PostgreSQL database for this tutorial. To use the PostgreSQL database for this tutorial, we can set up a test database on elephantsql.com. Simply sign up on the website and click on the option to create a new instance. You should see something similar to this. - Source: dev.to / over 2 years ago
  • What's your go-to database for Flutter apps and why?
    Hasura, PostgreSQL. Super easy if you already know SQL. Super secure. Easy to implement authorization. Plays EXTREMELY well with Firebase auth. You can use the flutter_graphql package. You can set everything up in a few hours with Hasura Cloud (hasura.io) and ElephantSQL (elephantsql.com). You only have to learn GraphQL and honestly it's a joy to work with that. Source: almost 4 years ago

What are some alternatives?

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

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

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

Heroku Postgres - Heroku Postgres is an SQL database as a service.