Apache Drill
Apache Drill is a distributed MPP query layer for self describing data (by apache)
MongoDB
The MongoDB Database (by mongodb)
| Apache Drill | MongoDB | |
|---|---|---|
| 9 | 251 | |
| 1,897 | 25,527 | |
| 1.1% | 0.9% | |
| 8.1 | 10.0 | |
| 6 days ago | about 6 hours ago | |
| Java | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache Drill
Posts with mentions or reviews of Apache Drill.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-30.
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Git Query Language (GQL) Aggregation Functions, Groups, Alias
Also are you familiar with apache drill . The idea is to put an SQL interpreter in front of any kind of database just like you are doing for git here.
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Building a Data Lakehouse for Analyzing Elon Musk Tweets using MinIO, Apache Airflow, Apache Drill and Apache Superset
💡 You ca read more here.
- 【上海报案信息】高频关键词 (OC)
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Apache Drill, Druid, Flink, Hive, Kafka, Spark
- 说的都是什么傻逼东西，一堆警察等了一小时不敢进去还他妈怪拜登不让学校有持枪警卫？哪个财团大得过控制整个共和党的NRA？
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Apache Drill: the reports of my death have been greatly exaggerated
>We’ve started talking about speeding up our release cadence to better reflect our recent activity.
There's been only one release per year in the past so you can't fault anyone to think the project is dead.
https://github.com/apache/drill/releases
- Concept: A open source alternative to big query ?
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Roapi: An API Server for Static Datasets
Looks super interesting and potentially useful. Curious how it compares with Apache Drill (https://drill.apache.org/).
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Does Java have an open source package that can execute SQL on txt/csv?
Check out Apache Drill: https://drill.apache.org/
MongoDB
Posts with mentions or reviews of MongoDB.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-05.
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What do you want to watch next? This is why I built GoodWatch.
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance
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System Design: Databases and DBMS
MongoDB
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From Zero to CRUD Hero: Building Your First Backend API in JavaScript
First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.
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Building Llama as a Service (LaaS)
I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.
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Time Series Blob Data: ReductStore vs. MongoDB
In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
MongoDB to store our data as documents, close to JS objects
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How to choose the right type of database
MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.
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How to create a dynamic AI Discord bot with TypeScript
MongoDB
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Mastering Microservices: A Hands-On Tutorial with Node.js, RabbitMQ, Nginx, and Docker
Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.
What are some alternatives?
When comparing Apache Drill and MongoDB you can also consider the following projects:
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
mongo-express - Web-based MongoDB admin interface, written with Node.js and express
Apache Calcite - Apache Calcite
Marten - .NET Transactional Document DB and Event Store on PostgreSQL
Presto - The official home of the Presto distributed SQL query engine for big data
LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file
AranoDB - The official ArangoDB Java driver.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
QueryStream - Build JPA Criteria queries using a Stream-like API
SQLAlchemy - The Database Toolkit for Python
spring-data-jpa-mongodb-expressions - Use the MongoDB query language to query your relational database, typically from frontend.
Apache Ignite - Apache Ignite
Apache Drill vs Trino
MongoDB vs mongo-express
Apache Drill vs Apache Calcite
MongoDB vs Marten
Apache Drill vs Presto
MongoDB vs LiteDB
Apache Drill vs AranoDB
MongoDB vs LevelDB
Apache Drill vs QueryStream
MongoDB vs SQLAlchemy
Apache Drill vs spring-data-jpa-mongodb-expressions
MongoDB vs Apache Ignite