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  1. Stackups
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  4. Dns Management
  5. Elasticsearch vs Google Cloud DNS vs Solr

Elasticsearch vs Google Cloud DNS vs Solr

OverviewDecisionsComparisonAlternatives

Overview

Google Cloud DNS
Google Cloud DNS
Stacks2.4K
Followers572
Votes44
Elasticsearch
Elasticsearch
Stacks35.5K
Followers27.1K
Votes1.6K
Solr
Solr
Stacks805
Followers644
Votes126

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Advice on Google Cloud DNS, Elasticsearch, Solr

Rana Usman
Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceonFirebaseFirebaseElasticsearchElasticsearchAlgoliaAlgolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the 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. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

408k views408k
Comments
Eric
Eric

Service Engineer at Zix Corporation

Aug 5, 2020

Needs adviceonAmazon Route 53Amazon Route 53

We are looking for advice / best-practices / caveats about migrating off BIND on to Unbound https://nlnetlabs.nl/projects/unbound/about/ for internal & external (customer-facing) DNS. Is unbound suitable for this, or is it only recommended for caching? How easy or difficult is it to move 10000's of existing BIND DNS zone entries? We already use Amazon Route 53 for our AWS instances and Cloud DNS for our GCP ones, but would like to maintain internal DNS for cost, control, and latency reasons.

58.6k views58.6k
Comments

Detailed Comparison

Google Cloud DNS
Google Cloud DNS
Elasticsearch
Elasticsearch
Solr
Solr

Use Google's infrastructure for production quality, high volume DNS serving. Your users will have reliable, low-latency access to Google's infrastructure from anywhere in the world using our network of Anycast name servers.

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).

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.

High performance, reliable DNS service;Easy to use, customizable to your needs;Manage records for all your services
Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License
Advanced full-text search capabilities; Optimized for high volume web traffic; Standards-based open interfaces - XML, JSON and HTTP; Comprehensive HTML administration interfaces; Server statistics exposed over JMX for monitoring; Linearly scalable, auto index replication, auto-failover and recovery; Near real-time indexing; Flexible and adaptable with XML configuration; Extensible plugin architecture
Statistics
Stacks
2.4K
Stacks
35.5K
Stacks
805
Followers
572
Followers
27.1K
Followers
644
Votes
44
Votes
1.6K
Votes
126
Pros & Cons
Pros
  • 9
    Backed by Google
  • 7
    High-availability
  • 6
    Reliable
  • 5
    Anycast DNS servers
  • 5
    High volume
Cons
  • 4
    Lack of privacy
  • 2
    Backed by Google
Pros
  • 329
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
Cons
  • 7
    Resource hungry
  • 6
    Diffecult to get started
  • 5
    Expensive
  • 4
    Hard to keep stable at large scale
Pros
  • 35
    Powerful
  • 22
    Indexing and searching
  • 20
    Scalable
  • 19
    Customizable
  • 13
    Enterprise Ready
Integrations
No integrations available
Kibana
Kibana
Beats
Beats
Logstash
Logstash
Lucene
Lucene

What are some alternatives to Google Cloud DNS, Elasticsearch, Solr?

Algolia

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.

Amazon Route 53

Amazon Route 53

Amazon Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating human readable names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Route 53 effectively connects user requests to infrastructure running in Amazon Web Services (AWS) – such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, an Amazon Elastic Load Balancer, or an Amazon Simple Storage Service (Amazon S3) bucket – and can also be used to route users to infrastructure outside of AWS.

DNSimple

DNSimple

DNSimple provides the tools you need to manage your domains. We offer both a carefully crafted web interface for managing your domains and DNS records, as well as an HTTP API with various code libraries and tools. Buy, connect, operate!

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Dyn

Dyn

An all-in-one Managed DNS service for your registered domain names. Dyn DNS is the perfect solution for your domain name’s DNS needs, whether it is for personal or business use. It gives you complete control over your DNS zone and its associated DNS records, complete with a simple DNS management web interface.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

DNS Made Easy

DNS Made Easy

DNS Made Easy is a subsidiary of Tiggee LLC, and is a world leader in providing global IP Anycast enterprise DNS services. DNS Made Easy is currently ranked the fastest provider for 8 consecutive months and the most reliable provider.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

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