#cplusplus #analytics #database #embedded_database #olap #sql

https://github.com/cwida/duckdb

#rust #streaming #sql #database #clickhouse #olap #data_cloud #query_processing

https://github.com/datafuselabs/datafuse

#cplusplus #analytics #big_data #database #distributed #olap #realtime_database #sql #vectorized

https://github.com/StarRocks/starrocks

#rust #analytics #database #education #embedded_database #olap #sql

https://github.com/risinglightdb/risinglight

#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

#cplusplus #analytics #bigquery #cloud_native #cpp #database #distributed_database #distributed_transactions #hacktoberfest #htap #mysql #mysql_compatibility #mysql_database #oceanbase #olap #oltp #paxos #scalable #sql #vector_database

OceanBase Database is a powerful, distributed relational database developed by Ant Group. It offers several key benefits It can handle large amounts of data and scale easily.
- **Fast Performance** It saves up to 90% on storage costs.
- **Real-time Analytics** It ensures zero data loss and quick recovery times.
- **MySQL Compatibility**: It is easy to migrate from MySQL databases.

You can quickly start using OceanBase with simple deployment options using commands or Docker, making it easy to get started and benefit from its advanced features.

https://github.com/oceanbase/oceanbase

#cplusplus #ai #analytics #big_data #clickhouse #cpp #dbms #distributed_database #hacktoberfest #mpp #olap #rust #sql

ClickHouse is a free, open-source database that helps you get real-time analytical data reports. It's easy to install using a simple command on Linux, macOS, or FreeBSD. You can find lots of helpful resources like tutorials, documentation, and videos on their website. There are also community meetups and online chats where you can learn from other users. Using ClickHouse benefits you by allowing fast and efficient analysis of large amounts of data, which is useful for making quick decisions and improving your business operations.

https://github.com/ClickHouse/ClickHouse

#c_lang #ai #big_data #c #cloudberry #data_analysis #data_warehouse #database #distributed_database #greenplum #mpp #olap #postgres #postgresql #sql

Apache Cloudberry is a powerful, open-source database designed for large-scale data processing and analytics. It is built by the creators of Greenplum Database and uses a newer PostgreSQL kernel, making it suitable for data warehouses and AI/ML workloads. You can easily try it out using a Docker-based sandbox or build it from source on Linux or macOS. The community is active, with many channels for support, discussions, and contributions. This means you can get help quickly, share ideas, and even contribute to the project yourself. It's licensed under the Apache License, Version 2.0, making it free to use and modify. Overall, Apache Cloudberry offers advanced database capabilities and a supportive community, which can greatly benefit users needing robust data management solutions.

https://github.com/apache/cloudberry

#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