#java #big_data #data_science #database #databases #datalake #distributed_database #distributed_databases #distributed_systems #hadoop #hive #jdbc #presto #prestodb #query_engine #sql #trino
https://github.com/trinodb/trino
https://github.com/trinodb/trino
GitHub
GitHub - trinodb/trino: Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL…
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) - trinodb/trino
#java #airflow #azkaban #dataworks #davinci #etl #flink #governance #griffin #hadoop #hive #hue #kettle #linkis #scriptis #spark #supperset #tableau #visualis #workflow #zeppelin
https://github.com/WeBankFinTech/DataSphereStudio
https://github.com/WeBankFinTech/DataSphereStudio
GitHub
GitHub - WeBankFinTech/DataSphereStudio: DataSphereStudio is a one stop data application development& management portal, covering…
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, ...
#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
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
GitHub
GitHub - apache/doris: Apache Doris is an easy-to-use, high performance and unified analytics database.
Apache Doris is an easy-to-use, high performance and unified analytics database. - apache/doris
#java #baas #clickhouse #crud #databricks #elasticsearch #hadoop #hive #influxdb #low_code #lowcode #milvus #nocode #oracle #postgresql #postgresql_database #serverless #snowflake #sqlserver #tdengine #tidb
APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.
Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.
https://github.com/Tencent/APIJSON
APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.
Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.
https://github.com/Tencent/APIJSON
GitHub
GitHub - Tencent/APIJSON: 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 🏆 Real-Time coding-free, powerful and secure…
🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 🏆 Real-Time coding-free, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and the returned JSON of API can ...
#go #blob_storage #cloud_drive #distributed_file_system #distributed_storage #distributed_systems #erasure_coding #fuse #hadoop_hdfs #hdfs #kubernetes #object_storage #posix #replication #s3 #s3_storage #seaweedfs #tiered_file_system
SeaweedFS is a fast, simple, and highly scalable distributed file system designed to store billions of files and serve them quickly, especially small files. It uses a master server to manage volumes on volume servers, which handle file data and metadata, enabling very fast file access with minimal disk reads. It supports features like replication, erasure coding, cloud integration for elastic storage, and compatibility with many metadata stores and APIs including Amazon S3. This means you get efficient, cost-effective storage with fast access, easy scaling, and flexible deployment options for large-scale file storage needs.
https://github.com/seaweedfs/seaweedfs
SeaweedFS is a fast, simple, and highly scalable distributed file system designed to store billions of files and serve them quickly, especially small files. It uses a master server to manage volumes on volume servers, which handle file data and metadata, enabling very fast file access with minimal disk reads. It supports features like replication, erasure coding, cloud integration for elastic storage, and compatibility with many metadata stores and APIs including Amazon S3. This means you get efficient, cost-effective storage with fast access, easy scaling, and flexible deployment options for large-scale file storage needs.
https://github.com/seaweedfs/seaweedfs
GitHub
GitHub - seaweedfs/seaweedfs: SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions…
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, xDC replica...