Amazon Kinesis
Apache Flink
Confluent
Apache Kafka
PieSync
Google Cloud Dataflow
Spark Streaming
Azure Stream Analytics
Curiosity.ai
ElasticSearch
Amazon Kendra
Algolia
Google Cloud Search
Apache Solr
Slapdash
Lucidworks Fusion
Curiosity is a desktop productivity app for Windows, Mac and Linux.
Finding information can be time-consuming and frustrating: There are just too many files and messages in too many places.
Curiosity gives you one place to search across all your folders and cloud apps like Gmail and Slack. It also searches deep inside files, messages, and attachments. That puts all your information at your fingertips so you can focus and get more done.
Curiosity also works as a launcher so you can open programs, join your next meeting, do math, and more. That means all your work is just a shortcut away.
Curiosity includes industry-grade security features and always keeps your data safe and private on your computer.
Amazon Kinesis Curiosity.aiCuriosity is good, and constantly updated
Based on our record, Amazon Kinesis should be more popular than Curiosity.ai. It has been mentiond 23 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.
Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 1 month ago
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / 3 months ago
RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
If you're looking for something local, we develop an app for macOS and Windows that let's you search and talk to local files and data from cloud apps: https://curiosity.ai. - Source: Hacker News / 8 days ago
We experimented with it sometime ago for our https://curiosity.ai app, initial training on your data was a bit heavy (at the time, probably fine by today's standards) but nice results if you had enough files. Needs to be done with care as for small datasets as there's not enough info for a model to learn and you end up introducing more noise than anything. - Source: Hacker News / about 1 month ago
> I'm in search of a local LLM that can run completely offline for processing personal documents. Key requirements include privacy (no data leaves my machine) and performance (efficient with large datasets). Any recommendations for open-source / commercial solutions that fit the bill in 2024? Also, what's the current state of local LLMs—are: Are they practical and useful, or still facing significant limitations?... - Source: Hacker News / 2 months ago
You can try https://curiosity.ai, supports Windows and macOS. - Source: Hacker News / 3 months ago
We're working on something similar at https://curiosity.ai - no plugins yet but something we have in our roadmap for next year. - Source: Hacker News / 7 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Amazon Kendra - Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
