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QuestDB - Fast relational time-series database
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
database time-series-database time-series sql relational-database analytics real-time-analytics analytics-database postgresql postgresincubator-hudi - Upserts And Incremental Processing on Big Data
Hoodie is a Apache Spark library that provides the ability to efficiently do incremental processing on datasets in HDFS
hadoop spark parquet analytics-database ingestion hoodie hudi columnar storagekeen-js - Keen.io JavaScript SDKs
If you haven’t done so already, login to Keen to create a project. The Project ID and API Keys are available on the Access page of the Project Console. You will need these for the next steps. What is an event? An event is a record of something important happening in the life of your app or service: like a click, a purchase, or a device activation.
keen-io analytics web-analytics customer-insights keen-js native-analytics reporting visualization dataviz dataset dashboards charts analytics-tracking analytics-api analysis data-visualization analytics-databaseexplorer - Data Explorer by Keen IO - point-and-click interface for analyzing and visualizing event data
Check out the demo here. The Keen IO Explorer is an open source point-and-click interface for querying and visualizing your event data. It's maintained by the team at Keen IO. If you haven’t done so already, login to Keen IO to create a project for your app. You'll need a Keen IO account to create a project. The Project ID and API Keys are available on the Project Overview page. You will need these for the next steps.
analytics web-analytics native-analytics data-visualization dataviz data-exploration charts keen-io analysis analytics-api analytics-databaseOmniSciDB - Open Source Analytical Database & SQL Engine
OmniSciDB is the foundation of the OmniSci platform. OmniSciDB is SQL-based, relational, columnar and specifically developed to harness the massive parallelism of modern CPU and GPU hardware. OmniSciDB can query up to billions of rows in milliseconds, and is capable of unprecedented ingestion speeds, making it the ideal SQL engine for the era of big, high-velocity data.
database visualization machine-learning real-time sql interactive gpu llvm olap mapd geodata distributed-database gpu-database analytics analytics-databaseclickhouse - This is a Golang driver for ClickHouse column-oriented database management system
This is a Golang driver for ClickHouse column-oriented database management system
clickhouse database golang-driver analytics-database sqlhoodie - Spark Library for Hadoop Upserts And Incrementals
Hoodie is a Apache Spark library that provides the ability to efficiently do incremental processing on datasets in HDFS
hadoop spark parquet analytics-database ingestion hoodiehudi - Spark Library for Hadoop Upserts And Incrementals
Hoodie is a Apache Spark library that provides the ability to efficiently do incremental processing on datasets in HDFS
hadoop spark parquet analytics-database ingestion hoodiekeen-analysis.js - A light JavaScript client for Keen with caching abilities
A JavaScript Client for Keen. Login to Keen IO to create a project and grab the Project ID and Read Key from your project's Access page.
analytics keen-js keen-io reporting analysis native-analytics web-analytics customer-insights analytics-api analytics-database customer-conversion tracking-pixels querying api-client caching conversion query stats client min max count percentile average median keen keen-queryusdt-ontime-tools - Tools for work with the US Dept. of Transport on-time data and MonetDB
This project facilitates the use of on-time and delayed flight data, available from the US Department of Transport's Bureau of Transportation Statistics, for DBMS testing and benchmarking. This work is inspired (or rather, necessitated) by a post from several years ago on Percona's performance blog, comparing MonetDB with InfoBright on the set of queries included here. They are perhaps not the most thorough or insightful benchmark queries one could device for this data, but that's what we're starting with.
benchmarking benchmark sql database dbms analytics-database transport monetdb flight-data usdt-ontime
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