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  4. Search Tools
  5. Falcor vs Solr

Falcor vs Solr

OverviewComparisonAlternatives

Overview

Solr
Solr
Stacks805
Followers644
Votes126
Falcor
Falcor
Stacks27
Followers79
Votes14
GitHub Stars10.6K
Forks449

Falcor vs Solr: What are the differences?

What is Falcor? A JavaScript library for efficient data fetching, created by Netflix. Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.

What is Solr? An open source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication etc. 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.

Falcor belongs to "API Tools" category of the tech stack, while Solr can be primarily classified under "Search Engines".

Some of the features offered by Falcor are:

  • One Model Everywhere
  • The Data is the API
  • Bind to the Cloud

On the other hand, Solr provides the following key features:

  • Advanced Full-Text Search Capabilities
  • Optimized for High Volume Web Traffic
  • Standards Based Open Interfaces - XML, JSON and HTTP

Falcor is an open source tool with 9.36K GitHub stars and 449 GitHub forks. Here's a link to Falcor's open source repository on GitHub.

According to the StackShare community, Solr has a broader approval, being mentioned in 140 company stacks & 42 developers stacks; compared to Falcor, which is listed in 5 company stacks and 4 developer stacks.

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Detailed Comparison

Solr
Solr
Falcor
Falcor

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.

Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.

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
One Model Everywhere;The Data is the API;Bind to the Cloud
Statistics
GitHub Stars
-
GitHub Stars
10.6K
GitHub Forks
-
GitHub Forks
449
Stacks
805
Stacks
27
Followers
644
Followers
79
Votes
126
Votes
14
Pros & Cons
Pros
  • 35
    Powerful
  • 22
    Indexing and searching
  • 20
    Scalable
  • 19
    Customizable
  • 13
    Enterprise Ready
Pros
  • 2
    Small API
  • 2
    Data is the API
  • 2
    One Model Everywhere
  • 2
    Promotes microservices
  • 1
    JSON Graph
Integrations
Lucene
Lucene
No integrations available

What are some alternatives to Solr, Falcor?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

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.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Hoppscotch

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

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