Iceberg made simple

Iceberg is the future of data lakes, and Etleap helps you unlock its full potential. With seamless ingestion, automated maintenance, and adaptable schema evolution, Etleap optimizes your Iceberg tables for performance and scalability. Focus on delivering insights while we handle the heavy lifting.

Fully-managed Iceberg pipelines

With Etleap, Iceberg pipelines are fully managed, ensuring your data lake operates with the efficiency of a data warehouse. From high-performance ingestion to automated maintenance and flexible schema evolution, Etleap actively manages your tables so you can focus on analyzing your data, not maintaining it.

  • High-performance ingestion

    Achieve low-latency ingestion with a sub-5-second delay, even at volumes of millions of rows per minute. Real-time metrics in the UI ensure your data flows reliably and on time.

  • Automatic storage maintenance

    Key maintenance tasks like compaction and snapshot expiry are fully automated to keep your Iceberg lakehouse optimized, reducing storage costs and improving query performance.

  • Flexible schema management

    Seamlessly adapt to schema changes in Iceberg, with metadata such as load time and source sequence numbers added automatically to keep data structured and query-ready.

Fully-managed Iceberg pipelines

With Etleap, Iceberg pipelines are fully managed, ensuring your data lake operates with the efficiency of a data warehouse. From high-performance ingestion to automated maintenance and flexible schema evolution, Etleap actively manages your tables so you can focus on analyzing your data, not maintaining it.

  • High-performance ingestion

    Achieve low-latency ingestion with a sub-5-second delay, even at volumes of millions of rows per minute. Real-time metrics in the UI ensure your data flows reliably and on time.

  • Automatic storage maintenance

    Key maintenance tasks like compaction and snapshot expiry are fully automated to keep your Iceberg lakehouse optimized, reducing storage costs and improving query performance.

  • Flexible schema management

    Seamlessly adapt to schema changes in Iceberg, with metadata such as load time and source sequence numbers added automatically to keep data structured and query-ready.

Transformation via data wrangling

Etleap can be deployed inside AWS VPCs for policy/regulatory compliance and data security, and at the same time provide the user experience of a cloud-native SaaS application.

Change names and types

The raw data doesn’t always have the right column names and types. Change them to what you want them to be.

Parse any data format

So many data formats, so little time to write and maintain parsing logic. Parse JSON, CSV, Parquet, XML, etc. without writing a line of code.

Filter rows and columns

Some data is sensitive, some data is irrelevant. Filter it out before it lands in your lake or warehouse.

Fully-managed Iceberg pipelines

With Etleap, Iceberg pipelines are fully managed, ensuring your data lake operates with the efficiency of a data warehouse. From high-performance ingestion to automated maintenance and flexible schema evolution, Etleap actively manages your tables so you can focus on analyzing your data, not maintaining it.

High-performance ingestion

Achieve low-latency ingestion with a sub-5-second delay, even at volumes of millions of rows per minute. Real-time metrics in the UI ensure your data flows reliably and on time.

Automatic storage maintenance

Key maintenance tasks like compaction and snapshot expiry are fully automated to keep your Iceberg lakehouse optimized, reducing storage costs and improving query performance.

Flexible schema management

Seamlessly adapt to schema changes in Iceberg, with metadata such as load time and source sequence numbers added automatically to keep data structured and query-ready.

Leader

2024

FALL

4.9 (23)

“By implementing Etleap's data pipelines for Apache Iceberg, we've not only streamlined our data ingestion processes but also made data available for analysis in Snowflake in a few seconds, down from several minutes. This is a groundbreaking improvement to our operational capabilities in that it enables us to react quickly to changes in the data.”

CTO

@ Nextbike

Leader

2024

FALL

4.9 (23)

“By implementing Etleap's data pipelines for Apache Iceberg, we've not only streamlined our data ingestion processes but also made data available for analysis in Snowflake in a few seconds, down from several minutes. This is a groundbreaking improvement to our operational capabilities in that it enables us to react quickly to changes in the data.”

CTO

@ Nextbike

Leader

2024

FALL

4.9 (23)

“By implementing Etleap's data pipelines for Apache Iceberg, we've not only streamlined our data ingestion processes but also made data available for analysis in Snowflake in a few seconds, down from several minutes. This is a groundbreaking improvement to our operational capabilities in that it enables us to react quickly to changes in the data.”

CTO

@ Nextbike

4.9 (23)

Leader

2024

FALL

  • SOC II

  • HIPAA

  • GDPR

  • CCPA

Ingest and model data with best-in-class tools and support.

4.9 (23)

Leader

2024

FALL

  • SOC II

  • HIPAA

  • GDPR

  • CCPA

Ingest and model data with best-in-class tools and support.

4.9 (23)

Leader

2024

FALL

  • SOC II

  • HIPAA

  • GDPR

  • CCPA

Ingest and model data with best-in-class tools and support.