BlazeSQL
Metabase
AI2sql
LogicLoop
TalktoData AI
AskYourDatabase
Hex
Basedash
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
BlazeSQL is an AI Based SQL Analytics Chatbot that can generate queries, run them, fix errors, create graphs, and create dashboards. It's like your own AI based Data analyst, that does whatever you ask.
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BlazeSQL's answer
It can securely connect AI to your database with the Windows and Mac Versions, allowing your personal AI Data analyst to do all your database work for you. This includes running queries, creating graphs, and creating dashboards
BlazeSQL's answer
It is one of the only options with desktop versions that allow you to securely connect to a database, and one of the few options with Graphing and Dashboarding capabilities.
BlazeSQL's answer
Data analysts and anyone getting insights from SQL Databases.
Based on our record, Apache Storm seems to be more popular. It has been mentiond 11 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.
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lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem.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
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
AI2sql - โ๏ธ With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL.โ๏ธ Querying has never been easier.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
LogicLoop - SQL AI Copilot for business and data teams
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
