Amp up your
IBM CloudSQL ETL
with Simplicity

Effortlessly load data from IBM CloudSQL 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 IBM CloudSQL integration in
4 simple steps

IBM CloudSQL Integration

Create connections

between IBM CloudSQL and targets.

technology analytics

Prepare pipeline

between IBM CloudSQL 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 IBM CloudSQL Integration?

Simplicity

Simplicity

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

Robust Security

Robust Security

Load your IBM CloudSQL 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 IBM CloudSQL integration to the platforms of your choice

Migrate your IBM CloudSQL 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

IBM Cloud SQL Query is a service within the IBM Cloud ecosystem designed to run SQL queries on data stored in IBM Cloud Object Storage. It allows users to interact with their object storage data using familiar SQL syntax, enabling easy data analysis, querying, and processing without needing to move the data to a database or another environment.

Cloud SQL Query is particularly useful for large datasets, providing a way to extract, transform, and analyze the data without having to load it into a structured database. It is serverless, meaning users do not need to manage the infrastructure themselves.

SQL-Based Queries:

Supports SQL syntax for querying data stored in IBM Cloud Object Storage, making it easy for users familiar with SQL to analyze large data sets.

Scalability:

Automatically scales to handle large datasets or complex queries, adjusting resources as needed based on query demands.

Support for Various Data Formats:

Works with various data formats such as CSV, JSON, Parquet, and ORC, providing flexibility for users working with different types of datasets.

Performance for Complex Queries:

Limited Optimization: Since Cloud SQL Query runs directly on data stored in IBM Cloud Object Storage, performance can be slower for complex queries, especially those involving multiple joins or large-scale aggregations. Supports SQL syntax for querying data stored in IBM Cloud Object Storage, making it easy for users familiar with SQL to analyze large data sets.

No Indexing: Unlike traditional databases, data in object storage is not indexed, which can result in slower query execution times for large datasets or complex filters.

Limited SQL Functionality:

Basic SQL Support: While it supports standard SQL queries, some advanced SQL functions may not be fully supported. Users looking for advanced analytics or complex transaction capabilities may find the functionality somewhat limited.

No Transactions: Cloud SQL Query is not designed for transactional operations (ACID compliance), making it unsuitable for use cases that require robust data integrity management.

No Data Caching or Partitioning:

Lack of Caching: Cloud SQL Query doesn't offer built-in data caching, so frequently running the same query on large datasets can result in slower performance compared to services that allow for data caching or materialized views.

No Data Partitioning: There is no support for automatic data partitioning, which could be useful for improving performance when querying very large datasets.

Make smarter decisions and grow your sales with Lyftrondata IBM CloudSQL integration

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