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Apache Cassandra VS Heroku Enterprise

Compare Apache Cassandra VS Heroku Enterprise and see what are their differences

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Apache Cassandra logo Apache Cassandra

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

Heroku Enterprise logo Heroku Enterprise

Heroku Enterprise is a flexible IT management for developers that lets them build apps using their preferred languages and tools like Ruby, Java, Python and Node.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Heroku Enterprise Landing page
    Landing page //
    2023-01-23

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.

Heroku Enterprise features and specs

  • Scalability
    Heroku Enterprise offers robust tools for scaling applications easily. You can add more compute resources with just a few clicks, making it simpler to handle traffic spikes and growing user bases.
  • Ease of Use
    Heroku is known for its developer-friendly environment, which simplifies deployment and management of applications. The platform abstracts much of the underlying infrastructure complexity, allowing developers to focus more on coding.
  • Integration
    Heroku Enterprise integrates smoothly with other Salesforce services and third-party tools, providing versatility and extending the capabilities of your applications.
  • Security
    Heroku Enterprise offers enhanced security features such as private spaces, TLS encryption, and compliance with industry standards (e.g., HIPAA, PCI). It ensures that enterprise-level security requirements are met.
  • Support
    Heroku Enterprise clients receive premium support services, including 24/7 customer service, which ensures that any technical issues are resolved quickly and efficiently.

Possible disadvantages of Heroku Enterprise

  • Cost
    Heroku Enterprise can be quite expensive, especially for smaller companies or startups. The pricing structure might be prohibitive for some organizations.
  • Limited Control
    While the ease of use is a strong point, it also means less control over the underlying infrastructure. This can be a drawback for businesses with specific configurations or those requiring deep infrastructure customizations.
  • Performance
    Despite its strong scalability features, some users report that Heroku applications can experience latency issues under heavy load, which might affect performance.
  • Vendor Lock-in
    Relying heavily on Heroku Enterprise for application deployment could pose a risk of vendor lock-in, making it challenging to migrate to other platforms in the future.
  • Customization Limitations
    While Heroku offers numerous add-ons and integrations, it still has limitations in terms of customization compared to managing your own infrastructure, which could be a disadvantage for highly specialized applications.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Heroku Enterprise videos

No Heroku Enterprise 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 Heroku Enterprise)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Backup & Restore
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 Apache Cassandra and Heroku Enterprise

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

Heroku Enterprise Reviews

We have no reviews of Heroku Enterprise yet.
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Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. 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.

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 / 12 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 / 10 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 / 12 months 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

Heroku Enterprise mentions (0)

We have not tracked any mentions of Heroku Enterprise yet. Tracking of Heroku Enterprise recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Cassandra and Heroku Enterprise, 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.

ManageEngine RecoveryManager Plus - RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.

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

SECDO - SECDO offers automated endpoint security and incident response solutions

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

Traverse Monitoring - Traverse Monitoring is an IT Management software that provides businesses with a network monitoring solution which is capable of handling the tasks of monitoring private clouds, distributed network infestation and virtualized infrastructure.