200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify OceanBase integration in
4 simple steps
Create connections
between OceanBase and targets.
Prepare pipeline
between OceanBase and targets by selecting tables in bulk.
Create a workflow
and schedule it to kickstart the migration.
Share your data
with third-party platforms over API Hub
Why choose Lyftrondata for OceanBase Integration?
Simplicity
Build your OceanBase pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your OceanBase data to targets with end-to-end encryption and security.
Accelerated ROI
Rely on the cost-effective environment to ensure your drive maximum ROI.
Customer's Metrics
Track the engagement of your customers across different channels like email, website, chat, and more.
Improved Productivity
Measure the performance of your team and highlight areas of improvement.
360-degree Customer View
Join different data touch points and deliver personalized customer experience.
Hassle-free OceanBase integration to the platforms of your choice
Migrate your OceanBase data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is OceanBase?
OceanBase is a distributed relational database management system (RDBMS) developed by Alibaba Group. It is designed to provide high availability, strong consistency, and horizontal scalability, making it suitable for large-scale, mission-critical applications. OceanBase aims to combine the advantages of traditional relational databases with the scalability and elasticity of NoSQL systems.
What are the features of OceanBase?
Distributed Architecture:
OceanBase utilizes a distributed architecture that allows it to scale horizontally across multiple nodes and data centers. This enables it to handle large volumes of data and high transaction loads efficiently.
High Availability:
OceanBase provides high availability through automatic failover and data replication across multiple nodes. This design helps ensure continuous operations, even in the event of hardware failures or network issues.
Elastic Scalability:
The database can elastically scale by adding or removing nodes as needed, allowing organizations to adjust their infrastructure based on changing workloads without downtime.
SQL Compatibility:
OceanBase supports SQL, making it accessible to developers familiar with traditional relational databases. It is designed to be compatible with MySQL and Oracle SQL, which facilitates easier migration for applications using those databases.
What are the shortcomings of OceanBase?
Complexity:
Management and Deployment: Setting up and managing a distributed database like OceanBase can be complex. It requires specialized knowledge in distributed systems, which may necessitate additional training for the IT team.
Operational Overhead: The need for monitoring, configuration, and tuning in a distributed environment can increase operational overhead compared to simpler, traditional databases.
Maturity and Ecosystem:
Smaller Ecosystem: OceanBase is relatively newer compared to established databases like MySQL or Oracle, leading to a smaller ecosystem of tools, libraries, and community support.
Limited Community Resources: The community around OceanBase is still growing, which can make it harder to find support or resources for troubleshooting and best practices.
Performance Overhead:
Distributed Architecture: While designed for high performance, the overhead of coordinating between distributed nodes can impact response times, particularly for complex queries or write-heavy operations.
Latency in Global Deployments: For applications with a global user base, network latency can affect performance, especially if data is spread across multiple geographical locations.