TablePlus
DBeaver
DataGrip
Navicat
DbVisualizer
Beekeeper Studio
phpMyAdmin
SQL Developer
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
TablePlus
Apache StormBased on our record, TablePlus should be more popular than Apache Storm. It has been mentiond 67 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.
TablePlus is a polished native database client known for speed, clean design, and direct data editing. It supports relational databases such as MySQL, PostgreSQL, SQLite, and others, with apps across macOS, Windows, Linux, and iOS. - Source: dev.to / about 1 month ago
Best part? Itโs standard Postgres. Any tool that speaks Postgres can connect, TablePlus, Retool, Cloudflare Hyperdrive, pgAdmin, even other ORMs. - Source: dev.to / 7 months ago
If you want something sleeker than DBeaver, TablePlus is a beautiful database client. Its free tier is limited but plenty for small dev projects. - Source: dev.to / 10 months ago
For simpler use-cases I've used both https://dataflare.app/ and https://tableplus.com/ with success. They are much quicker and lighter to start-up, browse some tables and run some queries. - Source: Hacker News / about 1 year ago
Things I use and have Black Friday - * https://tableplus.com/. - Source: Hacker News / over 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 3 years ago
Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 3 years ago
Storm, a system for real-time and stream processing. - Source: dev.to / over 3 years ago
Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 3 years ago
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 4 years ago
DBeaver - DBeaver - Universal Database Manager and SQL Client.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
DataGrip - Tool for SQL and databases
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.