Apache Kylin VS OceanBase

Compare Apache Kylin VS OceanBase and see what are their differences

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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.

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2023-06-29

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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 Kylin

Website: kylin.apache.org
Pricing URL: -
$ Details: -
Release Date: -

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OceanBase

Website: en.oceanbase.com
Pricing URL: Official OceanBase Pricing
$ Details
Release Date: 2021 June

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Apache Kylin features and specs

High Query Performance
Apache Kylin is designed for high-performance, low-latency analytics on large datasets. Its OLAP engine pre-computes and stores aggregated queries, which speeds up query responses significantly.
Scalability
Kylin can handle massive volumes of data, making it suitable for large scale data warehousing needs. It is designed to scale out by distributing the workload across a cluster of servers.
Integration with Hadoop Ecosystem
Kylin integrates seamlessly with the Hadoop ecosystem, leveraging tools like Hive, HBase, and Spark to facilitate data processing and storage, thereby enhancing its functionality and compatibility.
Support for Multi-dimensional Analysis
It provides strong multidimensional analysis capabilities, allowing for complex queries using well-known BI tools like Tableau and Power BI.

Possible disadvantages of Apache Kylin

Complex Setup
Setting up and configuring Apache Kylin can be complex and time-consuming, requiring a deep understanding of the Hadoop ecosystem and its components.
Resource Intensity
The pre-computation of data cubes and their storage can be resource-intensive, consuming significant memory and storage capacity.
Limited Flexibility in Querying
Pre-aggregated cube-based analysis may not cover all ad-hoc queries. Kylin's strength lies in pre-aggregated queries but may fall short in handling highly dynamic, on-the-fly queries.
Maintenance Overhead
Maintaining Kylin’s precomputed cubes can become cumbersome, particularly as data evolves or changes frequently, requiring updates or recalculations of cubes.

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.

Analysis of OceanBase

Overall verdict

OceanBase is a robust, enterprise-grade distributed relational database that has proven itself at massive scale, offering strong consistency, high availability, and MySQL/Oracle compatibility, making it a solid choice for organizations needing to handle high-concurrency, large-volume workloads.

Why this product is good

Battle-tested at extreme scale, famously handling Alipay's transaction peaks during major shopping events
Distributed architecture provides high availability, horizontal scalability, and strong data consistency
Compatible with MySQL and Oracle, easing migration and reducing application rewrite costs
Supports both OLTP and OLAP workloads (HTAP) within a single system
Offers strong disaster recovery with multi-replica and multi-datacenter deployment options
Cost efficiency through high data compression and resource utilization

Recommended for

Large enterprises with high-concurrency, mission-critical transactional workloads
Financial services and fintech companies needing strong consistency and reliability
Organizations seeking to migrate off Oracle or scale beyond single MySQL instances
Businesses requiring both transactional and analytical processing (HTAP)
Companies needing multi-region high availability and disaster recovery

Apache Kylin videos

+ Add

Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

OceanBase videos

+ Add

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

Category Popularity

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

Apache Kylin

OceanBase

Databases

50 50%

Databases

50% 50

Data Management

100 100%

Data Management

0% 0

Relational Databases

38 38%

Relational Databases

62% 62

0 0%

100% 100

User comments

Share your experience with using Apache Kylin and OceanBase. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Apache Kylin seems to be more popular. It has been mentiond 1 time 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 Kylin mentions (1)

Apache Kafka Use Cases: When To Use It & When Not To
A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / almost 4 years ago