Apache Spark
Apache Flink
Hadoop
Apache Hive
Apache Storm
Apache Kafka
Amazon EMR
ClickHouse
dbForge Studio for MySQL
phpMyAdmin
DBeaver
Sequel Pro
MySQL Workbench
HeidiSQL
SQL Developer
DbVisualizer
dbForge Studio for MySQL is a multi-featured IDE that covers nearly every aspect of MySQL and MariaDB development, management, administration, data analysis, and reporting. The rich feature set of the Studio is augmented by a clean and intuitive GUI and CLI-powered automation capabilities.
Key features: Database Development. dbForge Studio for MySQL offers quite a few features to streamline routine SQL coding and ensure the high quality of the output. For example: * SQL coding assistance * Query Profiler * MySQL Debugger * Visual Query Builder
Source Control. Using dbForge Studio for MySQL, you can set up and streamline effective version control of database schemas and static table data.
Database Design. In terms of database design, the Studio provides visual object editors and handy functionality that helps you visualize databases on entity-relationship diagrams.
Database Management. The Studio delivers a set of features for effective and versatile database management. Some of them are: * Database comparison and synchronization * Data management * Data import and export to multiple formats
Automation. dbForge Studio for MySQL delivers tools for the automation of routine database tasks via CLI.
Data Analysis & Reporting. dbForge Studio for MySQL facilitates data aggregation, analysis, and reporting. For instance: * Data search on live databases * Data reports and pivot tables * Master-Detail Browser
Database Administration. There are also integrated features to ensure quick and smooth database administration. These include: * Security Manager * Session Manager * Backup and recovery
Apache Spark dbForge Studio for MySQLdbForge Studio has been my go-to tool for about a year now. In terms of usability and instant views/summaries, it surpasses the alternatives I've previously used. We manage numerous MySQL and MariaDB instances. You should definitely give this stuff a try and judge for yourself.
I appreciate how simple it is to access all the features of this application. Although it has many useful functions, using them is not difficult. The SQL coding assistant and visual query builder are quite helpful when develop MySQL code,, and the ultimate database designer with DB diagram functionality helps greatly simplify creating DB structure and displaying relationships. Data import/export in many file formats, as well as database backups, are simple and quick.
I searched for years to find a great MySQL management tool, but the majority of both free and commercial solutions had terrible user interfaces, were extremely problematic (some to the point of being nearly unusable), or lacked key functions. Simply put, dbForge gets everything right. With its extensive import, export, and copy options, excellent syntax checker, syntax highlighting, and advanced and quick filtering capabilities, dbForge Studio for MySQL has a ton of capability.
Based on our record, Apache Spark seems to be more popular. It has been mentiond 70 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 13 days ago
Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 14 days ago
One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / about 2 months ago
If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.
Hadoop - Open-source software for reliable, scalable, distributed computing
DBeaver - DBeaver - Universal Database Manager and SQL Client.
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Sequel Pro - MySQL database management for Mac OS X