#cplusplus #big_data #clickhouse #distributed_database #lakehouse #olap_database #spark #sql #ytsaurus

https://github.com/ytsaurus/ytsaurus

#java #bigquery #database #dbt #delta_lake #elt #etl #hadoop #hive #hudi #iceberg #lakehouse #olap #query_engine #real_time #redshift #snowflake #spark #sql

Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.

https://github.com/apache/doris

#java #analytics #big_data #cloudnative #database #datalake #delta_lake #distributed_database #hudi #iceberg #join #lakehouse #lakehouse_platform #mpp #olap #real_time_analytics #real_time_updates #realtime_database #sql #star_schema #vectorized

StarRocks is a very fast query engine for analyzing data quickly, even in just a second. It works 3 times faster than other similar tools and doesn't require you to move or change your data. Here are some key benefits:
- It uses advanced technology to speed up queries.
- It supports standard SQL and works with various clients and BI software.
- It optimizes complex queries efficiently.
- It allows real-time updates and direct access to data from different sources.
- It manages resources well and is easy to maintain and scale.

Using StarRocks can help you analyze data much faster and more efficiently, making your work easier and quicker.

https://github.com/StarRocks/starrocks

#java #ai_catalog #data_catalog #datalake #federated_query #lakehouse #metadata #metalake #model_catalog #opendatacatalog #skycomputing #stratosphere

Apache Gravitino is a powerful tool for managing metadata across different sources and regions. It's available under the Apache 2.0 license, which means you can use it freely for any purpose, including commercial projects. You can modify and distribute the software as needed. This flexibility allows businesses to integrate Gravitino into their systems without worrying about royalties or strict usage restrictions. The benefit to users is that they can easily manage complex data environments while having full control over how they use and customize the software.

https://github.com/apache/gravitino

#rust #ai #bigdata #database #lakehouse #olap #rust #serverless #snowflake #sql

Databend is an open-source, cloud data warehouse built with Rust that offers a fast, cost-effective alternative to Snowflake. It supports both cloud and on-premise deployment, handles massive data (over 800 petabytes), and processes over 100 million queries daily. Databend excels in fast query execution, real-time data updates, and simplified data ingestion without extra ETL tools. It includes AI-powered analytics, advanced indexing, ACID compliance, and flexible schema support for semi-structured data. Using Databend can save you money, give you full control over your data, and provide high performance for complex analytics on large datasets[1][3].

https://github.com/databendlabs/databend