Software Alternatives, Accelerators & Startups
Register | Login

Apache Thrift VS Apache HBase

Compare Apache Thrift VS Apache HBase and see what are their differences

PulpMiner
Converts Any Webpage Into Realtime JSON API 🟢 featured
The page you are looking for does not exist
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Thrift logo Apache Thrift

An interface definition language and communication protocol for creating cross-language services.

Apache HBase logo Apache HBase

Apache HBase – Apache HBase™ Home
  • Apache Thrift Landing page
    Landing page //
    2019-07-12
  • Apache HBase Landing page
    Landing page //
    2023-07-25

Apache Thrift features and specs

  • Cross-Language Support
    Apache Thrift supports numerous programming languages including Java, Python, C++, Ruby, and more, enabling seamless communication between services written in different languages.
  • Efficient Serialization
    Thrift offers efficient binary serialization which helps in reducing the payload size and improves the communication speed between services.
  • Service Definition Flexibility
    Thrift provides a robust interface definition language (IDL) for defining and generating code for services with strict type checking, fostering strong contract interfaces.
  • Scalability
    Due to its lightweight and efficient serialization mechanisms, Apache Thrift can handle a large number of simultaneous client connections, making it suitable for scalable distributed systems.
  • Versioning Support
    Thrift supports service versioning which helps in evolving APIs without disrupting existing services or clients.

Possible disadvantages of Apache Thrift

  • Steep Learning Curve
    For new users, especially those not familiar with RPC frameworks, learning and understanding Thrift’s IDL and operations can be complex and time-consuming.
  • Documentation and Community Support
    Compared to some alternative technologies, Apache Thrift's documentation and community support can be less robust, which might pose challenges in troubleshooting or seeking guidance.
  • Lack of Advanced Features
    Thrift does not support some advanced features like streaming or multiplexing out of the box, which could limit its use in complex systems requiring these functionalities.
  • Infrastructure Overhead
    Integrating Thrift into an existing system might introduce infrastructure overhead both in initial setup and ongoing maintenance, especially when dealing with multiple languages.
  • Protocol Limitations
    While Thrift is highly efficient, its protocol limitations might require additional workarounds for certain data structures or transport mechanisms, complicating development.

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.

Analysis of Apache Thrift

Overall verdict

  • Yes, Apache Thrift is considered to be a good option for projects needing cross-language communication and efficient serialization. Its efficiency and wide adoption have proven it to be a reliable framework in many production environments.

Why this product is good

  • Apache Thrift is a widely used framework for scalable cross-language services development. It allows for seamless communication between programs written in different languages by providing code generation and serialization capabilities for a variety of languages. Thrift supports an efficient binary protocol and is highly customizable, making it a robust choice for services that require performance and flexibility. Additionally, it's an open-source project under the Apache Software Foundation, which ensures it has a strong community and ongoing updates.

Recommended for

  • Organizations that require cross-language service communication
  • Projects that need high-performance and low-latency data transmission
  • Developers looking for a framework with support for multiple programming languages
  • Teams looking for a customizable serialization protocol

Apache Thrift videos

+ Add

Apache Thrift

Apache HBase videos

+ Add

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

Category Popularity

0-100% (relative to Apache Thrift and Apache HBase)

Apache Thrift

Apache HBase

Web Servers
100 100%
Web Servers
0% 0
Databases
0 0%
Databases
100% 100
Web And Application Servers
100 100%
Web And Application Servers
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Apache Thrift 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 Thrift should be more popular than Apache HBase. It has been mentiond 13 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 Thrift mentions (13)

  • Show HN: TypeSchema – A JSON specification to describe data models
    I once read a paper about Apache/Meta Thrift [1,2]. It allows you to define data types/interfaces in a definition file and generate code for many programming languages. It was specifically designed for RPCs and microservices. [1]: https://thrift.apache.org/. - Source: Hacker News / 8 months ago
  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / over 1 year ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: about 2 years ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 2 years ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 2 years ago
View more

Apache HBase mentions (8)

  • List of 45 databases in the world
    HBase — Distributed, scalable, big data store. - Source: dev.to / 11 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    HBase is an open-source, distributed, scalable big data store that runs on top of the Hadoop Distributed File System (HDFS). It allows for real-time read/write access to large datasets because of its design. - Source: dev.to / 12 months 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 / over 1 year ago
  • When to Use a NoSQL Database
    NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / almost 2 years ago
  • In One Minute : Hadoop
    HBase, A scalable, distributed database that supports structured data storage for large tables. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

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

Docker Hub - Docker Hub is a cloud-based registry service

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

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

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

Traefik - Load Balancer / Reverse Proxy

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

Loading...