200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify Iceberg Wasabi integration in
4 simple steps
Create connections
between Iceberg Wasabi and targets.
Prepare pipeline
between Iceberg Wasabi 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 Iceberg Wasabi Integration?
Simplicity
Build your Iceberg Wasabi pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your Iceberg Wasabi 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 Iceberg Wasabi integration to the platforms of your choice
Migrate your Iceberg Wasabi 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 Iceberg Wasabi?
Iceberg Wasabi refers to the integration of Apache Iceberg with Wasabi, a cloud storage service that offers S3-compatible object storage. This combination leverages the features of Iceberg’s advanced table format with Wasabi’s scalable and cost-effective storage solution. Here's a closer look at each component and their integration:
Apache Iceberg
Overview: Apache Iceberg is a high-performance table format designed for large-scale analytic datasets. It provides features like schema evolution, partitioning, snapshot isolation, and efficient metadata management. Iceberg tables are compatible with various data processing engines such as Apache Spark, Trino, and Apache Flink.
Wasabi
Overview: Wasabi is a cloud storage service that provides S3-compatible object storage with a focus on high performance and low cost. It offers features such as high durability, scalability, and a pay-as-you-go pricing model. Wasabi is designed to be a cost-effective alternative to Amazon S3 while maintaining compatibility with S3 APIs.
What are the features of Iceberg Wasabi?
Advanced Table Management:
Schema Evolution: Iceberg allows you to evolve table schemas over time, including adding, removing, or renaming columns, without impacting existing queries or data.
Partitioning: Iceberg supports sophisticated partitioning strategies to optimize data access and query performance. This is particularly useful for large datasets.
Cost-Effectiveness:
Competitive Pricing: Wasabi offers cost-effective storage with a pay-as-you-go pricing model, which can be more affordable than other cloud storage services. This helps in reducing storage costs for Iceberg tables.
No Egress Charges: Wasabi typically does not charge for egress (data retrieval) within its service, potentially lowering data access costs compared to some other cloud storage providers.
Scalability and Performance:
Scalable Storage: Wasabi provides scalable storage capabilities, allowing Iceberg to handle large and growing datasets without concerns about storage limits.
High Performance: Wasabi is designed for high performance with low latency and high throughput, which benefits data access and processing performance for Iceberg tables.
What are the shortcomings of Iceberg Wasabi?
Performance Considerations:
Latency: Although Wasabi aims to provide high performance, object storage generally introduces higher latency compared to local or block storage systems. This latency can impact the performance of data-intensive operations and queries.
Throughput Variability: The performance characteristics of Wasabi, such as throughput and response times, can vary based on factors like data size and network conditions. This variability might affect the performance of Iceberg workloads.
Security and Compliance:
Security Configurations: Ensuring that security configurations, such as encryption and access controls, are properly set up in Wasabi is crucial. Misconfigurations could lead to vulnerabilities or compliance issues.
Compliance Requirements: Depending on your data governance and compliance needs, you may need to ensure that Wasabi and Iceberg meet specific standards and regulations, which could require additional setup and oversight.
Operational Complexity:
Configuration and Tuning: Setting up and optimizing Iceberg to work effectively with Wasabi can involve complex configuration and tuning. Ensuring that Iceberg and Wasabi are properly integrated and optimized for your specific use case may require additional effort.
Monitoring and Debugging: Monitoring performance and troubleshooting issues in an Iceberg and Wasabi setup can be challenging, particularly when dealing with performance bottlenecks or consistency issues.