Elasticsearch聽vs聽TensorFlow

Elasticsearch
Elasticsearch

16.7K
12.5K
+ 1
1.6K
TensorFlow
TensorFlow

1.8K
1.9K
+ 1
72
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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.

Advice on Elasticsearch and TensorFlow
Rana Usman Shahid
Rana Usman Shahid
Chief Technology Officer at TechAvanza | 4 upvotes 5K views

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!

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Adithya Shetty
Adithya Shetty
Student at PES UNIVERSITY | 5 upvotes 2K views
Needs advice
on
TensorFlowTensorFlow
vs
PyTorchPyTorch
vs
KerasKeras

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!!

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Pros of Elasticsearch
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Cons of Elasticsearch
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What is Elasticsearch?

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).

What is TensorFlow?

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.
What companies use Elasticsearch?
What companies use TensorFlow?

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What tools integrate with Elasticsearch?
What tools integrate with TensorFlow?

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What are some alternatives to Elasticsearch and TensorFlow?
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
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