Apache Flink vs GINO
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala. | It is a non-typical object-relational mapping library in Python for asyncio, built on top of SQLAlchemy core and asyncpg, aiming for explicitness and productivity. |
Hybrid batch/streaming runtime that supports batch processing and data streaming programs.;Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.;Flexible and expressive windowing semantics for data stream programs;Built-in program optimizer that chooses the proper runtime operations for each program;Custom type analysis and serialization stack for high performance | Run SQLAlchemy core queries on asyncpg;
Optional non-intrusive objective API;
Advanced loader system to assemble objects from row results;
Support the SQLAlchemy ecosystem like Alembic;
Built-in support for context, lazy connection and more;
Extensions to integrate with Starlette/FastAPI, aiohttp, Tornado and more |
Statistics | |
GitHub Stars 25.4K | GitHub Stars 2.7K |
GitHub Forks 13.7K | GitHub Forks 150 |
Stacks 534 | Stacks 3 |
Followers 879 | Followers 9 |
Votes 38 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Apache Flink, GINO?
Sequelize
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Apache Spark
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Presto
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Prisma
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Amazon Athena
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lakeFS
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Hibernate
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Druid
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Doctrine 2
Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.
Apache Kylin
Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
