Ever waited to order or pay with a waiter holding their ordering device in the air for a signal? These moments show why offline-first Data Sync is essential. With more and more services relying on the availability of on-device apps and the IoT market projected to hit $1.1 trillion by 2026, choosing the right solution – particularly online-only or offline-first data sync – is more crucial than ever. In this blog, we discuss their differences and highlight common Data Sync alternatives.

What is Data Sync?

Data synchronization (Sync) aligns data between two or more devices to maintain consistency over time. It is an essential component in applications ranging from IoT and mobile apps to cloud computing. Challenges in data synchronization include asynchrony, conflicts, and managing data across flaky networks.

Data Sync vs. Data Replication

Data Synchronization is often confused with Data Replication. Nevertheless, they serve different purposes:

  • Data Replication: A unidirectional process (works in one direction only) that duplicates data across storage locations to ensure availability and prevent loss. It is simple but limited in its application, and efficiency, and lacks conflict management.
  • Data Synchronization: A bidirectional process that harmonizes all or a subset of data between two or more devices. It ensures consistency across devices and entails conflict resolution. It is inherently more complex but also more flexible.

Online vs Offline Solutions: Why Offline Sync Matters

Online-only synchronization solutions rely entirely on cloud infrastructure, requiring a stable internet connection to function. While these tools offer simplicity and scalability, their dependency on constant cloud connectivity brings limitations: Online Data Sync solutions cannot guarantee response rates and their speed varies depending on the network. They do not work when offline or in on-premise settings. Using an Online Sync solution often entails sharing the data and might not comply with data privacy requirements. So, do read the terms and conditions.

Offline-first solutions (offline Sync) focus on local data storage and processing, ensuring the app remains fully functional even without an internet connection. When a network is available, the app synchronizes seamlessly with a server, the cloud, or other devices as needed. These solutions are ideal for on-premise scenarios with unreliable or no internet access, mission-critical applications that must always operate, real-time and high-performance use cases, as well as situations requiring high data privacy and data security compliance.

A less discussed, but in our view also relevant point, is sustainability. While there might be exceptions depending on the use case, for most applications offline-first solutions are more resourceful and therefore more sustainable. If CO2 footprint or battery usage is of concern to you, you might want to look into offline-first Data Sync alternatives.

Now, let’s have a look at current options:

Data Sync Alternatives

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Solution Company Type Offline Support Self-hosted Sync Decentralized Sync Database Type of DB OS/Platforms Languages Open-Source Component License Other Considerations Country
Firebase Google
 (Firebase was acquired by Google in 2014)
Online Local cache only, no persistence, syncs when online Cloud: Firebase Realtime Database; Edge: Only caching, no DB (called Firestore) Document store iOS, Android, Web Java
JavaScript
Objective-C
Swift
Kotlin
C++
Dart
C#
Python, Go, Node.js
proprietory Tied to Google Cloud, requires internet connectivity 🇺🇸
Supabase Supabase Online Limited Cloud DB: PostgreSQL Relational document store Primarily a cloud solution JavaScript/TypeScript
Flutter/Dart
C#
Swift
Kotlin
Python
Apache License 2.0 Supabase is mainly designed as a SaaS, for use cases with constant connectivity 🇸🇬
ObjectBox Sync ObjectBox Offline-first In development ObjectBox Object-oriented embedded NoSQL DB Android, Linux, Ubuntu,
Windows,
macOS, iOS,
QNX, Raspbian,
any POSIX system really,
any cloud (e.g. AWS/Azure/Google Cloud),
bare metal
C
C++
Java
Kotlin
Swift
Go
Flutter / Dart
Python
DB: Open source bindings, Apache 2.0, closed core Highly efficient (saves CPU, Memory, battery, and bandwidth); fully offline-first, supports on-premise settings, 100% cloud optional 🇩🇪
Couchbase (Lite + Couchbase Sync Gateway) Couchbase (a merger of Couch One and Membase) Online The CE Sync is a bare minimum and typically not usable; Self-hosted Sync with Couchbase Servers is available as part of their Enterprise offering ✅ as part of the Enterprise offering; gets expensive quickly Edge: Couchbase Lite; Server: Couchbase Multi-model NoSQL document-oriented database Couchbase Lite: iOS, Android, macOS, Linux, Windows, Raspbian and Raspberry Pi OS

Couchbase Sync Gateway: Red Hat Enterprise Linux (RHEL) 9.x, Alma Linux 9.x, Rocky Linux 9.x, Ubuntu, Debian (11.x, 12.x), Windows Server 2022
.Net
C
Go
Java
JavaScript info
Kotlin
PHP
Python
Ruby
Scala
Couchbase Lite is available under different licenses; the open source Community Edition does not get regular updates and misses many features especially around Sync (e.g. it does not include Delta Sync making it slow and expensive) Typically requires Couchbase servers, quickly gets expensive 🇺🇸
MongoDB Realm + Atlas Device Sync MongoDB
 (Realm was acquired by MongoDB in 2019)
Offline-First Cloud-based sync only Cloud: MongoDB, Edge: Mongo Realm DB MongoDB: NoSQL document store; RealmDB: Embedded NoSQL DB MongoDB: Linux
OS X
Solaris
Windows
Mongo Realm DB:
Android, iOS
more than 20 languages, e.g. Java, C, C#, C++ MongoDB changed its license from open source (AGPL) to MongoDB Inc.’s Server Side Public License (SSPL) in 2018. RealmDB is open source under the Apache 2.0 License. The Data Sync was proprietary.  Deprecated (in Sep 2024); End-of-life in Sep 2025; ObjectBox offers a migration option 🇺🇸

While SQLite does not offer a sync solution out-of-the-box, various vendors have built something on top, or integrated with SQLite giving them offline persistence.

Key Considerations for Choosing a Data Sync Solution

When selecting a synchronization solution, consider:

  1. Connectivity Requirements: Will the application function in offline environments; how will it work with flaky network conditions; how is the user experience when there is intermittent connectivity?
  2. Data Privacy & Security: How critical is it to ensure sensitive data remains local? Data compliance? How important is it that data is not breached?
  3. Scalability and Performance: What are the expected data loads and network constraints? How important is speed for the users? Is there any need to guarantee QoS parameters? How much will the cloud and networking costs be?
  4. Conflict Resolution: How does the solution handle data conflicts?
  5. Delta Sync: Does the solution always synchronize all data or only changes (data delta)? Can a subset of data be synchronized? How efficient is the Sync protocol (affecting costs and speed)?

The Shift Towards Edge Computing

The trend toward Edge Computing highlights the growing preference for offline-first solutions. By processing and storing data closer to its source, Edge Computing reduces cloud dependency, enhances privacy, and improves efficiency. Data synchronization plays an important role in this shift, ensuring seamless operation across decentralized networks.

Offline and online synchronization solutions each have their merits, but the rise of edge computing and data privacy concerns has propelled offline Sync to the forefront. Developers must assess their application’s unique requirements to select the most appropriate synchronization method. As the industry evolves, hybrid and offline-first solutions are going to dominate, offering the best balance of functionality, privacy, and performance.