Software Alternatives, Accelerators & Startups
Register | Login

Heroku Enterprise VS Apache HBase

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

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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 HBase logo Apache HBase

Apache HBase – Apache HBase™ Home
  • Heroku Enterprise Landing page
    Landing page //
    2023-01-23
  • Apache HBase Landing page
    Landing page //
    2023-07-25

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 HBase features and specs

  • Scalability
    HBase is designed to scale horizontally, allowing it to handle large amounts of data by adding more nodes. This makes it suitable for applications requiring high write and read throughput.
  • Consistency
    It provides strong consistency for reads and writes, which ensures that any read will return the most recently written value. This is crucial for applications where data accuracy is essential.
  • Integration with Hadoop Ecosystem
    HBase integrates seamlessly with Hadoop and other components like Apache Hive and Apache Pig, making it a suitable choice for big data processing tasks.
  • Random Read/Write Access
    Unlike HDFS, HBase supports random, real-time read/write access to large datasets, making it ideal for applications that need frequent data updates.
  • Schema Flexibility
    HBase provides a flexible schema model that allows changes on demand without major disruptions, supporting dynamic and evolving data models.

Possible disadvantages of Apache HBase

  • Complexity
    Setting up and managing HBase can be complex and may require expert knowledge, especially for tuning and optimizing performance in large-scale deployments.
  • High Latency for Small Queries
    While HBase is designed for large-scale data, small queries can suffer from higher latency due to the overhead of its distributed nature.
  • Sparse Documentation
    Despite being widely used, HBase documentation and community support can sometimes be lacking, making issue resolution difficult for new users.
  • Dependency on Hadoop
    Since HBase depends heavily on the Hadoop ecosystem, issues or limitations with Hadoop components can affect HBase’s performance and functionality.
  • Limited Transaction Support
    HBase lacks full ACID transaction support, which can be a limitation for applications needing complex transactional processing.

Heroku Enterprise videos

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

Add video

Apache HBase videos

+ Add

Apache HBase 101: How HBase Can Help You Build Scalable, Distributed Java Applications

Category Popularity

0-100% (relative to Heroku Enterprise and Apache HBase)

Heroku Enterprise

Apache HBase

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Databases
0 0%
Databases
100% 100
Backup & Restore
100 100%
Backup & Restore
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Heroku Enterprise and Apache HBase. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Apache HBase seems to be more popular. It has been mentiond 8 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.

Heroku Enterprise mentions (0)

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

Apache HBase mentions (8)

View more

What are some alternatives?

When comparing Heroku Enterprise and Apache HBase, you can also consider the following products

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.

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

SECDO - SECDO offers automated endpoint security and incident response solutions

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

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.

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

Loading...