<?xml version="1.0" encoding="UTF-8"?>
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    <title>lakehouse</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/745/feed"/>
    <updated>2026-11-04T00:22:22+00:00</updated>
    <id>https://links.biapy.com/guest/tags/745/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13450</id>
            <title type="text"><![CDATA[StarRocks]]></title>
            <link rel="alternate" href="https://www.starrocks.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13450"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A High-Performance Analytical Database.

The world&amp;#039;s fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

- [StarRocks @ GitHub](https://github.com/StarRocks/StarRocks).]]>
            </summary>
            <updated>2026-07-29T13:40:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12768</id>
            <title type="text"><![CDATA[Lance]]></title>
            <link rel="alternate" href="https://lance.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12768"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open Lakehouse Format for Multimodal AI.

Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming.

- [Lance @ GitHub](https://github.com/lance-format/lance).

Related contents:

- [S3 is the perfect place to store data, until you try to search it @ Gordon Murray](https://gordonmurray.ie/data/2026/05/02/s3-is-the-perfect-place-to-store-data-until-you-try-to-search-it.html).]]>
            </summary>
            <updated>2026-05-15T13:58:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10258</id>
            <title type="text"><![CDATA[Bauplan]]></title>
            <link rel="alternate" href="https://www.bauplanlabs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10258"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your data lakehouse, built like software.

Bauplan is a cloud-native lakehouse platform for engineering teams who treat data like software.
Ship pipelines without managing infrastructure, using a specialized Python runtime, Git-for-Data built on Apache Iceberg, and just a few simple APIs.

Related contents:

- [Bauplan: Operate your lakehouse with zero infrastructure @ Data Engineer Things](https://blog.dataengineerthings.org/bauplan-operate-your-lakehouse-with-zero-infrastructure-f15a24ca33a9).]]>
            </summary>
            <updated>2025-09-18T05:55:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/661</id>
            <title type="text"><![CDATA[DuckLake]]></title>
            <link rel="alternate" href="https://ducklake.select/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/661"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DuckLake is an integrated data lake and catalog format

DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It&amp;#039;s an open, standalone format from the DuckDB team.

DuckLake is an open Lakehouse format that is built on SQL and Parquet. DuckLake stores metadata in a catalog database, and stores data in Parquet files. The DuckLake extension allows DuckDB to directly read and write data from DuckLake.

- [Ducklake @ GitHub](https://github.com/duckdb/ducklake).]]>
            </summary>
            <updated>2025-08-28T17:48:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/684</id>
            <title type="text"><![CDATA[BigQuery]]></title>
            <link rel="alternate" href="http://BigQuery" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/684"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI data platform.

From data warehouse to autonomous data and AI platform

BigQuery is the autonomous data to AI platform, automating the entire data life cycle, from ingestion to AI-driven insights, so you can go from data to AI to action faster.

Gemini in BigQuery features are now included in BigQuery pricing models.

Related contents:

- [BigQuery’s Ridiculous Pricing Model Cost Us $10,000 in Just 22 Seconds!!! @ Data Engineer Things](https://blog.det.life/bigquerys-ridiculous-pricing-model-cost-us-10-000-in-just-22-seconds-7d52e3e4ae60).]]>
            </summary>
            <updated>2025-08-28T17:52:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1110</id>
            <title type="text"><![CDATA[OLake]]></title>
            <link rel="alternate" href="https://olake.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1110"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fastest way to Replicate your Database data in Data Lake.
OLake makes data replication faster by parallelizing full loads, leveraging change streams for real-time sync, and pulling data in a database-native format for efficient ingestion.

Fastest open-source tool for replicating Databases to Apache Iceberg or Data Lakehouse. ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supporting Postgres, MongoDB and MySQL 

- [OLake @ GitHub](https://github.com/datazip-inc/olake).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6707</id>
            <title type="text"><![CDATA[Delta Lake]]></title>
            <link rel="alternate" href="https://delta.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6707"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Delta Lake is an open-source storage framework that enables building a
Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.]]>
            </summary>
            <updated>2025-08-29T10:34:47+00:00</updated>
        </entry>
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