Software Alternatives & Reviews

Apache Camel VS Looker

Compare Apache Camel VS Looker and see what are their differences

Apache Camel logo Apache Camel

Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.

Looker logo Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
  • Apache Camel Landing page
    Landing page //
    2021-12-14
  • Looker Landing page
    Landing page //
    2023-10-11

Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

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Looker videos

Looker Review

More videos:

  • Tutorial - How To Use Looker as a Business User
  • Review - Looker Review - Off The Shelf Reviews

Category Popularity

0-100% (relative to Apache Camel and Looker)
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Service Automation
100 100%
0% 0
Business Intelligence
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Camel and Looker

Apache Camel Reviews

10 Best Open Source ETL Tools for Data Integration
Popular for its data integration capabilities, Apache Camel supports most of the Enterprise Integration Patterns and newer integration patterns from microservice architectures. The idea is to help you solve your business integration problems using the best industry practices. It is also interesting to note that the tool runs standalone and is embeddable as a library within...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Camel is an Open-Source framework that helps you integrate different applications using multiple protocols and technologies. It helps configure routing and mediation rules by providing a Java-object-based implementation of Enterprise Integration Patterns (EIP), declarative Java-domain specific language, or by using an API.
Source: hevodata.com
Top 10 Popular Open-Source ETL Tools for 2021
Apache Camel is an Open-Source framework that helps you integrate different applications using multiple protocols and technologies. It helps configure routing and mediation rules by providing a Java-object-based implementation of Enterprise Integration Patterns (EIP), declarative Java-domain specific language, or by using an API.
Source: hevodata.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Apache Camel uses Uniform Resource Identifiers (URIs), a naming scheme used in Camel to refer to an endpoint that provides information such as which components are being used, the context path and the options applied against the component. There are more than 100 components used by Apache Camel, including FTP, JMX and HTTP. Apache Camel can be deployed as a standalone...
Source: blog.panoply.io

Looker Reviews

Embedded analytics in B2B SaaS: A comparison
Similar to Holistics also Metabase is a BI tool at its core. It however feels nothing like Looker and has a unique feel to it. It felt quite intuitive how its set-up but there’s still quite a steep learning curve, even for a well-seasoned data professional. Also Metabase offers an iFrame implementation for embedding. An added advantage of Metabase is that they are...
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Like Looker, Ploty doesn’t list its pricing on the official website. You’ll have to complete their web form and speak with a team member to receive a custom price quote. When completing the form, you’ll have to mention whether you’re a professional or a student.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Tableau, Trevor.io and Metabase can work as Looker alternatives. We also wrote an article on customer-Hosted Looker alternatives.
Source: trevor.io
Top 10 Data Analysis Tools in 2022
Looker Looker provides embedded analytics for users; speeding up the creation of data-driven applications. Looker Enterprise can cost up to $5,000 per month. Looker is a cloud-based data analysis platform that can provide medium to large-sized companies with all they need for data analysis. However, Looker is limited to working with SQL databases.
Best Google Data Studio Alternatives (Self-Service BI)
Looker is a modern analytics and BI platform that enables users to integrate, explore, and visualize data. Looker is primarily deployed in the cloud. Core to its approach is its data modeling language, LookML, in which data analysts write code to define business metrics and manipulate data. The platform supports a wide range of data sources and visualizations and can be...

Social recommendations and mentions

Looker might be a bit more popular than Apache Camel. We know about 14 links to it since March 2021 and only 12 links to Apache Camel. 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.

Apache Camel mentions (12)

  • Ask HN: What is the correct way to deal with pipelines?
    "correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 7 months ago
  • Why messaging is much better than REST for inter-microservice communications
    This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / about 1 year ago
  • Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?
    Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: about 1 year ago
  • S3 to S3 transform
    For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago
  • 🗞️ We have just released our JBang! catalog 🛍️
    🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
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Looker mentions (14)

  • edit home page to add folder section
    Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 1 year ago
  • Stars, tables, and activities: How do we model the real world?
    Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 1 year ago
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 years ago
  • I'm a dev ID 10 T please help me
    Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 2 years ago
  • The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
    For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Apache Camel and Looker, you can also consider the following products

Histats - Start tracking your visitors in 1 minute!

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

AFSAnalytics - AFSAnalytics.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile