2165 Open source projects that are alternatives of or similar to Clickhouse Native Jdbc

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

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A GPU-powered real-time analytics storage and query engine.

ClickHouse® is a free analytics DBMS for big data

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Apache Spark - A unified analytics engine for large-scale data processing

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📊 Cube — Open-Source Analytics API for Building Data Apps

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

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.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

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Comparison of non-JPA SQL mapping frameworks for Java (Jooq, Spring JDBCTemplate, MyBatis, EBean, JDBI, Speedment, sql2o)

Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.

ORMLite JDBC functionality that works with JDBC drivers to attach to various database types

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An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

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Functional JDBC layer for Scala.

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深圳地铁大数据客流分析系统🚇🚄🌟

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flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

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❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

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Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

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