deepstream.io
Socket.io
Firebase
PubNub
Pusher
Supabase
Nchan
Nevercode
Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Lenses
Striim
deepstream.io Spark StreamingNo deepstream.io videos yet. You could help us improve this page by suggesting one.
Based on our record, deepstream.io should be more popular than Spark Streaming. It has been mentiond 9 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.
What your trying to do is very difficult (particularly since your data views are relying upon joins and group queries.) You may need layered solutions. I've been looking at https://deepstream.io for keeping clients in sync. You will still have to watch the db, though the client and back end sync is handled! - Source: Hacker News / 12 days ago
Https://deepstream.io/ - a popular open source realtime server and https://golden-layout.com/ - the leading layout manager for Web Apps - among many other things. You can find more examples of my work at https://wolframhempel.github.io/me/ My specialties are complex, graphically demanding Web Apps and Cloud server architectures. Over the years I've gotten incredibly good at helping my clients deliver some of the... - Source: Hacker News / 4 months ago
Wolfram previously built https://arcentry.com/, https://deepstream.io/ and https://golden-layout.com/, Adam is Director of Engineering for a trading tech company and. - Source: Hacker News / 10 months ago
OS projects: https://deepstream.io/, https://vramework.io/. - Source: Hacker News / over 1 year ago
Deepstream is an open-source library for real-time web application development. The library, which is built with Node.js and Engine.io, helps developers build frontend web applications that perform real-time updates while requiring minimal backend code. - Source: dev.to / over 1 year ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Socket.io - Realtime application framework (Node.JS server)
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
