Software Alternatives, Accelerators & Startups

Looker VS ObjectBox

Compare Looker VS ObjectBox and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Looker logo Looker

Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

ObjectBox logo ObjectBox

ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.
  • 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.

  • ObjectBox Landing page
    Landing page //
    2023-02-06

ObjectBox is a super fast database and sychronization solution, built uniquely for Mobile and IoT devices. ObjectBox is uniquely designed for small devices, so it is the ideal solution across hardware from Mobile Apps, to IoT Devices and IoT Gateways. It is the first high-performance NoSQL, ACID-compliant on-device edge database. Plus, it's built with developers in mind, with easy to use code that takes minimal time to implement.

ObjectBox supports Java, C/C++, Go, Kotlin, Swift and Python. Running on Android, Mac/iOS, Windows, Linux, Raspbian & more.

ObjectBox

Pricing URL
-
$ Details
Platforms
iOS Android Windows Linux C++ Java Python Go Swift

Looker features and specs

  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages of Looker

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

ObjectBox features and specs

  • Performance
    ObjectBox is known for its high performance in terms of speed. It provides fast data access and efficient data storage, which can be crucial for mobile applications and IoT devices.
  • Ease of Use
    ObjectBox offers an intuitive API that simplifies database management. Developers can easily implement it without needing extensive database expertise.
  • Object-Oriented Approach
    ObjectBox allows developers to work with database objects directly, eliminating the need for ORMs and reducing boilerplate code.
  • Cross-Platform Support
    Supports multiple platforms including Android, iOS, Linux, and others, enabling seamless data management across different operating systems.
  • Automatic Updates
    ObjectBox provides automatic database schema migrations, making it easier to manage changes without manual intervention.
  • Size
    It has a small footprint, which is beneficial for mobile applications where space and resources are constrained.

Possible disadvantages of ObjectBox

  • Limited Complexity Handling
    While great for simpler use cases, ObjectBox may face challenges with complex queries and data structures compared to more traditional SQL-based databases.
  • Community and Support
    Being a relatively newer database solution, it has a smaller community compared to established databases like SQLite, potentially reducing the availability of community-driven support and resources.
  • Feature Set
    It might lack some advanced features found in other databases, such as customized SQL queries, which could be limiting for some applications.
  • Vendor Lock-In
    Using ObjectBox ties you to its ecosystem, which might limit flexibility if you choose to switch databases in the future.
  • Learning Curve
    Despite its ease of use, developers unfamiliar with NoSQL or object database paradigms might encounter a learning curve.

Analysis of Looker

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Analysis of ObjectBox

Overall verdict

  • ObjectBox is a strong choice for projects that require a reliable, fast, and resource-efficient database solution, especially in mobile or IoT contexts. Its ease of use and robust feature set make it a viable option for developers seeking to implement a high-performance local storage solution.

Why this product is good

  • ObjectBox is considered good for several reasons. It offers high performance with ACID compliance, supports edge computing scenarios by being suitable for mobile and IoT devices with small resource footprints, and provides an easy-to-use API. ObjectBox DB is optimized for speed, allowing for faster read and write operations compared to traditional databases, which can be crucial for applications requiring real-time data processing. Additionally, ObjectBox provides support for complex queries and relationships while still maintaining simplicity in its setup.

Recommended for

  • Developers building mobile applications that require efficient local data storage.
  • IoT projects where space and performance are critical.
  • Applications that need real-time data processing and quick access to large volumes of data.
  • Projects that benefit from edge computing capabilities, where computing is performed on-device.

Looker videos

Looker Review

More videos:

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

ObjectBox videos

Getting Started with Objectbox for Android / Java

More videos:

  • Review - ObjectBox - Startup of Startupnight 2018

Category Popularity

0-100% (relative to Looker and ObjectBox)
Data Dashboard
100 100%
0% 0
Databases
0 0%
100% 100
Business Intelligence
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

Share your experience with using Looker and ObjectBox. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Looker Reviews

Top 10 BI Tools in 2026 (with Pricing, AI Features & Enterprise Fit)
Looker like business intelligence platforms include tools that offer governed data models, embedded analytics, real-time dashboards, and scalable cloud performance. These platforms are ideal for organizations that need consistent metrics, strong data governance, and customizable analytics similar to what Looker provides.
Source: supaboard.ai
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Looker Studio, formerly Google Data Studio, is a user-friendly business intelligence tool that transforms raw data into interactive, customizable dashboards and reports. It integrates seamlessly with Google's ecosystem and supports various data sources, including Google Analytics and BigQuery. Looker Studio offers robust visualization capabilities and real-time collaborative...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
In this blog, weโ€™ll dive into the best 5 Looker alternatives currently dominating the market. Whether you're seeking a Looker alternative with enhanced features, better pricing, or a more tailored fit for your analytics needs, this guide will help you discover BI tool that could be a perfect match for your business.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Exploring alternatives to Looker isn't just about finding a different tool; it's about uncovering solutions that better address your specific business challenges and operational workflows. Here, we highlight five areas where Looker's limitations might lead you to consider other options.

ObjectBox Reviews

We have no reviews of ObjectBox yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Looker should be more popular than ObjectBox. It has been mentiond 14 times since March 2021. 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.

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: over 3 years 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 3 years 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 / over 4 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 4 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 4 years ago
View more

ObjectBox mentions (9)

  • MongoDB Data Sync for Offline-First Apps: Keep Data in Sync With ObjectBox and MongoDB Atlas
    Need to sync your MongoDB database and your offline-first apps? In this tutorial, we'll walk you through setting up an end-to-end demonstration of bi-directional data sync between local ObjectBox databases on client devices and a MongoDB Atlas cluster. Together, we'll build a system that ensures offline-first functionality while keeping data in sync across devices and databases. - Source: dev.to / 6 months ago
  • Will Amazon S3 Vectors Kill Vector Databasesโ€“Or Save Them?
    It would be great to have the vector database run on the edge / on-device for offline-first and privacy-focused. https://objectbox.io/ does a good job of this but are there others? - Source: Hacker News / 10 months ago
  • Publishing to F-Droid
    When I first attempted to publish to F-Droid, I experienced several pipeline issues. After reading through the pipeline logs in GitLab, I realized that my application's database (ObjectBox) was not entirely FOSS compliant and was causing build failures. The following day was spent migrating my app to Room. - Source: dev.to / almost 3 years ago
  • Looking for android java developer mentor
    I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: about 3 years ago
  • Want to build a simple database app....Where do I start
    Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 3 years ago
View more

What are some alternatives?

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

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.

Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.

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

Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.

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

CompactView - Viewer for Microsoftยฎ SQL Serverยฎ CE database files (sdf)