824 Open source projects that are alternatives of or similar to Drill

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Big Data Toolkit for the JVM

大数据入门指南 ⭐

The official home of the Presto distributed SQL query engine for big data

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

Multi docker container images for main Big Data Tools. (Hadoop, Spark, Kafka, HBase, Cassandra, Zookeeper, Zeppelin, Drill, Flink, Hive, Hue, Mesos, ... )

Hive JDBC "uber" or "standalone" jar based on the latest Apache Hive version

An alternative to the "hive standalone" jar for connecting Java applications to Apache Hive via JDBC

Apache Hive

A large-scale entity and relation database supporting aggregation of properties

The Hadoop ETL UDFs are the main way to load data from Hadoop into EXASOL

WASP is a framework to build complex real time big data applications. It relies on a kind of Kappa/Lambda architecture mainly leveraging Kafka and Spark. If you need to ingest huge amount of heterogeneous data and analyze them through complex pipelines, this is the framework for you.

Apache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.

Today I Learned

Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)

Example MapReduce jobs in Java, Hive, Pig, and Hadoop Streaming that work on Avro data.

Addax is an open source universal ETL tool that supports most of those RDBMS and NoSQLs on the planet, helping you transfer data from any one place to another.

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

ACID Data Source for Apache Spark based on Hive ACID

Asakusa Framework

🏐 Apache Parquet for modern .NET

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.

A tool for provisioning and managing Apache Hadoop clusters in the cloud. Cloudbreak, as part of the Hortonworks Data Platform, makes it easy to provision, configure and elastically grow HDP clusters on cloud infrastructure. Cloudbreak can be used to provision Hadoop across cloud infrastructure providers including AWS, Azure, GCP and OpenStack.

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

基于Spark2.2新闻网大数据实时系统项目

Apache Tez

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community. WeDataSphere, Big Data Made Easy!

80+ HAProxy Configs for Hadoop, Big Data, NoSQL, Docker, Elasticsearch, SolrCloud, HBase, MySQL, PostgreSQL, Apache Drill, Hive, Presto, Impala, Hue, ZooKeeper, SSH, RabbitMQ, Redis, Riak, Cloudera, OpenTSDB, InfluxDB, Prometheus, Kibana, Graphite, Rancher etc.

Samples to the Oracle Big Data Lite VM

Mapreduce project by Hadoop, Nutch, AWS EMR, Pig, Tez, Hive

A framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with druid.

最好的大数据项目。《Titan数据运营系统》，本项目是一个全栈闭环系统，我们有用作数据可视化的web系统，然后用flume-kafaka-flume进行日志的读取，在hive设计数仓，编写spark代码进行数仓表之间的转化以及ads层表到mysql的迁移，使用azkaban进行定时任务的调度，使用技术：Java/Scala语言，Hadoop、Spark、Hive、Kafka、Flume、Azkaban、SpringBoot，Bootstrap， Echart等；

OLAP and ETL of Big Data

Open-source distribute workflow schedule tools, also support streaming task.

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

와이빅타 엔지니어링팀의 자료를 정리해두는 곳입니다.

A complete (distributed) BigData stack, running in containers

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

Apache Parquet

Scalable, redundant, and distributed object store for Apache Hadoop

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

云计算之hadoop、hive、hue、oozie、sqoop、hbase、zookeeper环境搭建及配置文件

Kafka Connect HDFS connector

Iceberg is a table format for large, slow-moving tabular data

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

Go package to read and write parquet files. parquet is a file format to store nested data structures in a flat columnar data format. It can be used in the Hadoop ecosystem and with tools such as Presto and AWS Athena.

Apache Parquet

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。

基于wifi抓取信息的大数据查询分析系统

Apache Ignite

💎🔥大数据学习笔记

大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

DataX is an open source universal ETL tool that support Cassandra, ClickHouse, DBF, Hive, InfluxDB, Kudu, MySQL, Oracle, Presto(Trino), PostgreSQL, SQL Server

MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)

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

A Spark cluster setup running on Docker containers

Educational notes,Hands on problems w/ solutions for hadoop ecosystem