
ObjectBox
Realm.io
Microsoft SQL Server Compact
CompactView
UnQLite
VoltDB
HSQLDB
NuoDB
Adobe Analytics
Google Analytics
Mixpanel
Heap
Google Tag Manager
Smartlook
Looker
KISSmetrics
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
Adobe AnalyticsBased on our record, ObjectBox should be more popular than Adobe Analytics. It has been mentiond 9 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.
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
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
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
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
Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 3 years ago
Google Analytics was launched in 2005 as a tool for reporting web traffic. It is one of many web analytics tools. Adobe Analytics and Hubspot Analytics are example competitors to Google Analytics. - Source: dev.to / over 4 years ago
What it is: Adobe Analytics provides a set of tools that lets you collect, measure, and explore data you can use to predict traffic and gain insights. It has an interactive analytics workspace that helps you easily drag and drop data tables, visualizations, and components. - Source: dev.to / over 4 years ago
Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
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.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
CompactView - Viewer for Microsoftยฎ SQL Serverยฎ CE database files (sdf)
Heap - Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.