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OceanBase VS Apache Hive

Compare OceanBase VS Apache Hive and see what are their differences

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OceanBase logo OceanBase

Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Not present

OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The OceanBase Database is not dependent on specific hardware architectures.

  • Apache Hive Landing page
    Landing page //
    2023-01-13

OceanBase features and specs

  • Transparent Scalability
    1,500 nodes, PB data and a trillion rows of records in one cluster.
  • Ultra-fast Performance
    TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
  • Cost Efficiency
    saves 70%–90% of storage costs.
  • Real-time Analytics
    supports HTAP without additional cost.
  • Continuous Availability
    RPO = 0(zero data loss) and RTO < 8s(recovery time).
  • MySQL Compatible
    easily migrated from MySQL database.

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

OceanBase videos

+ Add

Architecture Insight of OceanBase: A Distributed SQL Database (Charlie Yang)

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

0-100% (relative to OceanBase and Apache Hive)

OceanBase

Apache Hive

Databases
30 30%
Databases
70% 70
Relational Databases
43 43%
Relational Databases
57% 57
Big Data
0 0%
Big Data
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Hive 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.

OceanBase mentions (0)

We have not tracked any mentions of OceanBase yet. Tracking of OceanBase recommendations started around Jun 2024.

Apache Hive mentions (8)

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What are some alternatives?

When comparing OceanBase and Apache Hive, you can also consider the following products

MySQL - The world's most popular open source database

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

TiDB - A distributed NewSQL database compatible with MySQL protocol

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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