Elasticsearch vs TensorFlow: What are the differences?
Elasticsearch: Open Source, Distributed, RESTful Search Engine. Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack); TensorFlow: Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Elasticsearch can be classified as a tool in the "Search as a Service" category, while TensorFlow is grouped under "Machine Learning Tools".
"Powerful api" is the primary reason why developers consider Elasticsearch over the competitors, whereas "High Performance" was stated as the key factor in picking TensorFlow.
Elasticsearch is an open source tool with 41.9K GitHub stars and 14K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.
Instacart, Slack, and Stack Exchange are some of the popular companies that use Elasticsearch, whereas TensorFlow is used by Uber Technologies, 9GAG, and VSCO. Elasticsearch has a broader approval, being mentioned in 1976 company stacks & 936 developers stacks; compared to TensorFlow, which is listed in 195 company stacks and 126 developer stacks.
Hey everybody! (1) I am developing an android application. I have data of around 3 million (Less than a TB). I want to save that data in a cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Also please guide me with reasons whether I choose Firebase or not. Also, please guide if any other company provides better services than Firebase. (2) I have the functionality of searching data in my app. Data is around 3 million (Less than a TB). Which search engine should I use in this case? I searched for Elasticsearch and Algolia search. Kindly suggest the best options for me as to which service I should use. It should be secure and fast. If any other company provides better services than these, please tell me. Thank you!
I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!
Pros of Elasticsearch
- Powerful api319
- Open source228
- Restful213
- Free95
- Fast2
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Cons of Elasticsearch
Cons of TensorFlow
- Hard6
