#java #apache #iceberg

https://github.com/apache/iceberg

#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 #alldata #cloudeon #cube_studio #datahub #datart #datasophon #datavines #dinky #dolphinscheduler #griffin #hudi #iceberg #openmetadata #paimon #streampark

AllData is a comprehensive data platform that offers multiple features such as data integration, data quality management, report analytics, and machine learning. It has a customizable architecture and supports integration of open-source projects, with plans to release 30 new open-source project frameworks by the end of 2024. Users can choose between the open-source version or the commercial version, with the latter offering a more stable experience with fewer bugs. The commercial version includes additional features like real-time development, offline platform, and BI reporting capabilities. This platform helps users comprehensively manage and utilize data, improving work efficiency and data analysis capabilities.

https://github.com/alldatacenter/alldata