Amp up your
OceanBase ETL
with Simplicity

Effortlessly load data from OceanBase into data warehouses, perform analytical transformations, and gain operational intelligence in your favorite BI tools just the way you like it.
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

OceanBase Integration

Create connections

between OceanBase and targets.

technology analytics

Prepare pipeline

between OceanBase and targets by selecting tables in bulk.

data integration

Create a workflow

and schedule it to kickstart the migration.

cloud data integration

Share your data

with third-party platforms over API Hub

data automation

Why choose Lyftrondata for OceanBase Integration?

Simplicity

Simplicity

Build your OceanBase pipeline and experience unparalleled data performance with zero training.

Robust Security

Robust Security

Load your OceanBase data to targets with end-to-end encryption and security.

Accelerated ROI

Accelerated ROI

Rely on the cost-effective environment to ensure your drive maximum ROI.

Customers Metrics

Customer's Metrics

Track the engagement of your customers across different channels like email, website, chat, and more.

Improved Productivity

Improved Productivity

Measure the performance of your team and highlight areas of improvement.

customer View

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.

Your Cloud Data Warehouses

Lyftrondata
Lyftrondata
Amazon Redshift
Amazon Redshift
Snowflake
Snowflake
Azure Synapse
Azure Synapse
Google BigQuery
Google BigQuery

Your BI Tools

Looker
Looker
PowerBI
Power BI
QuickSight
QuickSight
ThoughtSpot
ThoughtSpot
Tablue
Tablue

Your Database

Oracle
Oracle
Postgresql
Postgresql
ibm-db2
IBM DB-2
SQL Server
SQL Server
MySQL
MySQL

Your Machine Learning Tools

Google Colab
Google Colab
Jupyter
Jupyter
H2o
H2o
Rapidminer
Rapidminer
QlikSense
QlikSense

Hear how Lyftrondata helped accelerate the data journey of our customers

FAQs

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.

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.

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.

Make smarter decisions and grow your sales with Lyftrondata OceanBase integration

Lyftrondata