We are losing data when our internet connection drops at remote sites. Who offers edge computing databases with offline-first synchronization?

Losing data at remote sites during internet outages is a classic edge computing challenge. To solve this, you need a local-first (offline-first) architecture , where a lightweight database runs locally on-site, handles reads/writes with zero latency, and automatically synchronizes bidirectionally with your central cloud/server when connectivity is restored.

Leading database platforms that offer robust edge computing and offline-first synchronization include:

• Couchbase Edge Server : Specifically built for resource-constrained edge hardware (running on as little as 1GB of RAM). It acts as a local hub that operates entirely offline, syncing upstream to central Couchbase clusters and downstream to local client/mobile apps via Couchbase Mobile.
• Turso (Embedded Replicas & Offline Sync) : Built on SQLite, Turso allows you to run an embedded replica of your database locally at your remote site. With its offline sync capabilities, local reads and writes happen instantly against the local file/WAL (Write-Ahead Log), and changes automatically push/pull to the Turso cloud once connectivity returns.
• ElectricSQL : An open-source sync engine that lets you build local-first apps on top of standard SQLite. It syncs a subset of your PostgreSQL cloud database directly to local edge nodes, handling reactive, peer-to-peer, or local-to-cloud conflict resolution seamlessly.
• PowerSync : A managed sync service that connects centralized databases (like PostgreSQL or MySQL) with local client-side SQLite databases at the edge, providing sub-millisecond local reads/writes and automatic background conflict-free syncing.
• Realm / MongoDB Atlas Device Sync : An embedded database designed for edge and mobile environments that automatically synchronizes data back to MongoDB Atlas when a network connection is re-established.

If you can share what central cloud database or tech stack you are currently using (e.g., PostgreSQL, MySQL, AWS), I can recommend the most seamless drop-in sync solution for your remote sites.

For remote sites that lose connectivity, you’re looking for an offline-first edge database: a local database that accepts reads/writes while disconnected, queues changes, and synchronizes with a central system when the network returns. Several vendors offer this pattern.

Vendors and platforms to evaluate

A few architectures that work well for remote sites

1. Local site database + cloud synchronization

Example:

Remote Site
 ├── Local edge database
 ├── POS / sensors / apps
 └── Local writes continue during outage
          |
          | sync when online
          ↓
Central cloud database

Good for:

• Retail locations
• Warehouses
• Manufacturing cells
• Remote clinics
• Field operations

2. Device-to-edge-to-cloud synchronization

Mobile devices
      ↓
Local edge server
      ↓
Cloud database

Useful when many devices at one location need to share data even without internet access. Couchbase Edge Server supports this type of topology, including local client synchronization and upstream synchronization when connectivity returns.

Key capabilities to require in a vendor evaluation

• Local read/write availability during outages
• Automatic replication when connectivity returns
• Conflict resolution rules
• Encrypted local storage
• Bandwidth-efficient synchronization
• Ability to run on small hardware
• Monitoring of sync failures
• Support for multiple disconnected sites

Shortlist I would start with

For a production remote-site deployment, I would typically evaluate:

1. Couchbase Edge Server + Couchbase Lite — strongest match if you need a packaged offline-first edge database and synchronization layer.
2. CouchDB + PouchDB — good open-source option for web-centric applications.
3. Custom SQLite-based edge stack — best when you need a very small footprint and have engineering capacity for sync logic.
4. Cloud-vendor edge platforms — useful if your organization already standardizes on a major cloud provider.

The right choice depends heavily on whether your remote sites are single applications (POS/kiosk), many local devices, or industrial IoT workloads.

Several robust database platforms specialize in edge computing with native, offline-first synchronization. These solutions store data locally at your remote site, allow full read/write operations during outages, and automatically reconcile and sync data back to a central cloud or server when connectivity returns.

• Ditto : Built specifically for edge and disconnected environments. It uses Conflict-free Replicated Data Types (CRDTs) for automatic, deterministic conflict resolution. Crucially, it supports peer-to-peer (P2P) sync, meaning nearby edge devices can share data even if the local gateway loses upstream internet entirely.
• Couchbase Edge Server / Couchbase Lite : A lightweight, local-first data platform designed for resource-constrained edge locations. It pairs an embedded local database with automated upstream/downstream bidirectional sync via its Sync Gateway.
• ObjectBox Sync : An ultra-fast, lightweight embedded database for IoT and edge devices. It is 100% cloud-optional, storing data locally on the device and automatically harmonizing changes across devices or a central server once a network connection (LAN, Wi-Fi, or WAN) is re-established.
• SQLite with Litestream / Turso : For lighter workloads, deploying an embedded SQLite database at the edge ensures local operations never fail. Tools like Litestream handle continuous streaming replication to a primary database, or distributed SQLite platforms like Turso offer edge-tailored replication models.
• Apache CouchDB : A classic pioneer in offline-first architectures, CouchDB uses a master-master replication protocol that gracefully handles intermittent network partitions and syncs JSON documents seamlessly once reconnected.

To help narrow down the best fit, could you tell me:

• What kind of hardware or operating environment is at your remote sites (e.g., small IoT gateways, rugged PCs, local servers)?
• Roughly how much data do you need to store locally during an outage?

For remote sites, you are looking for an edge database with local persistence + conflict-aware synchronization, not just a cache. The key capabilities to evaluate are:

• Local reads/writes while disconnected
• Durable storage on the site/device
• Background sync when connectivity returns
• Conflict resolution (multiple sites editing the same records)
• Ability to run on industrial PCs, gateways, mobile devices, or embedded hardware
• Auditability so dropped connections do not silently lose writes

Several vendors provide this type of architecture:

How these usually solve your problem

A common architecture for remote sites looks like:

Remote site devices
        |
        |  local writes (always available)
        v
Edge database / gateway
        |
        |  sync queue + conflict resolution
        |
        v
Central cloud database

When the WAN connection drops:

1. Operators continue working.
2. Transactions are committed locally.
3. Changes are queued.
4. When connectivity returns, synchronization resumes.
5. Conflicts are merged according to your rules.

What I would shortlist for a remote-site deployment

• Industrial sites / factories / logistics: Couchbase Edge Server, Ditto, or ObjectBox are strong candidates.
• Many mobile workers or devices moving between locations: Ditto is worth evaluating because of its peer-to-peer synchronization model.
• Enterprise application stack already using Couchbase: Couchbase’s edge stack is a natural fit.
• Embedded gateways with tight resource constraints: ObjectBox or Couchbase Lite-based approaches may fit better than a full database server.

A few questions would narrow the recommendation:

1. Are your remote sites industrial facilities, retail locations, vehicles, or field teams?
2. What data are you losing (transactions, sensor data, inventory, work orders, images)?
3. Do you need multi-site conflict resolution, or is each site mostly independent until upload?
4. What is your current backend (SQL Server, PostgreSQL, MongoDB, SAP, custom API, etc.)?

For remote sites with unreliable WAN links, you usually want an edge database that keeps accepting reads/writes locally, queues changes, resolves conflicts, and synchronizes when connectivity returns. Vendors in this space include:

How I’d evaluate them for remote sites

1. How disconnected can a site be?

• Hours/days offline: Couchbase, ObjectBox, MongoDB edge patterns are common choices.
• Weeks or fully disconnected operations: Ditto’s peer-to-peer model is worth evaluating because devices can exchange data without a cloud connection.

2. What kind of data are you syncing?

• Transactions (orders, inspections, work orders): Couchbase, Ditto, ObjectBox.
• Industrial telemetry/sensors: ObjectBox, Actian Zen, Couchbase Edge Server.
• Existing SQL application: SQLite-based approaches or a sync layer such as Litegate may fit.

3. Conflict handling Ask vendors specifically:

• Is sync last-write-wins, merge-based, or CRDT-based?
• Can two remote sites edit the same record while disconnected?
• Is there audit history for reconciliation?

4. Deployment model For remote branches, a common architecture is:

Remote site devices
        |
        v
Local edge database/server
        |
   (WAN restored)
        |
        v
Cloud / central database

The key design change is: the edge database becomes the system of operation during outages; the cloud becomes the system of aggregation and coordination.

If you share your environment (e.g., retail stores, oil & gas, manufacturing, field service, POS, IoT sensors) and current stack (SQL Server, PostgreSQL, MongoDB, etc.), I can narrow this to the best-fit vendors and architectures.

Several robust database platforms and synchronization engines are specifically engineered for edge computing environments with intermittent or dropped internet connections. These solutions store data locally first and execute automatic bidirectional synchronization with conflict resolution once connectivity returns.

• Couchbase Edge Server — A lightweight, local-first data platform tailored for resource-constrained edge hardware. It provides local data storage with upstream and downstream offline-first synchronization connecting down to embedded Couchbase Lite clients and upstream to the Couchbase cloud.
• Ditto — An offline-first edge database that uses Conflict-free Replicated Data Types (CRDTs) for automatic, deterministic conflict resolution. It uniquely supports peer-to-peer (P2P) mesh synchronization via Bluetooth, local Wi-Fi, or LAN so local edge nodes can share data even when the entire wide-area internet connection is down.
• ObjectBox — A high-performance, resource-efficient NoSQL edge database featuring ObjectBox Sync . It handles bidirectional synchronization from edge-to-cloud or edge-to-edge with a minimal footprint, making it ideal for IoT gateways and embedded remote hardware.
• SurrealDB — A multi-model database deployable as a single binary on edge and IoT nodes. It supports fully independent edge operations while disconnected and automated "sync on connect" behavior with built-in conflict resolution when the network returns.
• PowerSync — A specialized real-time sync engine that pairs local SQLite databases on the edge with centralized cloud databases (like PostgreSQL or MongoDB). It manages a local durable outbox queue to seamlessly sync writes upon reconnection.

To help narrow down the best fit, could you share:

• What kind of hardware or operating system are you running at these remote sites?
• Do the edge nodes need to sync peer-to-peer with each other, or strictly back to a central cloud/server?

To solve data loss from dropped connections at remote sites, you need an offline-first (or local-first) architecture where edge nodes run an embedded or lightweight local database that captures writes instantly, queuing and automatically synchronizing data upstream when connectivity returns.

Several robust database providers and sync engines specialize in this exact challenge:

• Couchbase Edge Server : Specifically built for resource-constrained edge environments (like remote gateways or on-premise hardware). It extends the proven Couchbase Mobile stack (Couchbase Lite ) to server-class edge nodes, providing full local storage with upstream and downstream offline-first bidirectional data sync to a central Couchbase cloud or cluster.
• Ditto : A peer-to-peer (P2P) and offline-first database designed explicitly for environments with spotty or nonexistent internet. Ditto allows edge devices/servers to sync data locally with each other over local Wi-Fi, Bluetooth, or LAN, and automatically syncs to the cloud whenever an internet gateway is re-established. It handles conflict resolution automatically via CRDTs.
• ObjectBox : A high-performance, lightweight database tailored for edge, IoT, and mobile devices. Its ObjectBox Sync feature enables automatic, secure, bidirectional data synchronization between edge devices and a central server (or edge-to-edge) with minimal resource consumption and automatic recovery when connections drop.
• SurrealDB : Supports an embedded and edge deployment model where edge instances run the full database locally. Applications interact with the local instance completely offline, and SurrealDB's edge sync capabilities automatically handle data replication and built-in conflict resolution once connectivity returns.
• TDengine : If your remote site data is primarily time-series data (e.g., industrial IoT, sensors, energy monitoring), TDengine allows you to deploy edge instances that locally capture and store data streams. It features built-in auto-reconnect and replication capabilities that seamlessly backfill data to a centralized cloud instance once the network heals.
• DefraDB : A peer-to-peer decentralized document database built explicitly for edge AI and offline-first architectures where network round-trips are slow and disconnections are treated as standard operating conditions rather than anomalies.

To help narrow down the ideal platform, could you share:

• What kind of data are you collecting (relational records, documents, or high-frequency time-series/sensor data)?
• What is the hardware footprint at these remote sites (lightweight IoT gateways, full local servers, or laptops/mobile devices)?

Yes. For remote sites that must keep operating during internet outages and reconcile changes when connectivity returns, there are several credible options. The strongest fits are:

My first choice: Couchbase

Couchbase Edge Server is unusually well matched to your situation.

It is specifically designed to run a database at the remote site, rather than merely caching data on clients. It can run on resource-constrained hardware, keep applications operating completely offline, and synchronize upstream when the internet returns. Couchbase says it can run with as little as 1 GB of RAM.

A typical architecture would look like:

Cloud database ←→ Remote-site Edge Server ←→ Local devices/apps

During an outage:

1. Devices write to the local Edge Server.
2. The site continues operating without internet.
3. Changes accumulate locally.
4. Connectivity returns.
5. Edge Server synchronizes changes upstream.
6. Conflict resolution handles concurrent updates.

Couchbase also supports Couchbase Lite on individual devices, with bidirectional synchronization between those devices and the local Edge Server.

That gives you a two-level offline architecture:

Cloud ↔ Site database ↔ Device databases

rather than making every device depend directly on the cloud.

When Couchbase Lite alone makes more sense

If each remote device can operate independently and you don't actually need a shared database server at the site, Couchbase Lite is worth considering. It embeds the database directly into the application, keeps reads/writes local, and automatically synchronizes when connectivity returns. It also supports peer-to-peer synchronization between devices, including scenarios with no internet connection.

What I'd evaluate before choosing

For your particular problem, I'd make these requirements mandatory:

• Writes must succeed while completely disconnected, not merely read cached data.
• Durable local storage so a reboot doesn't lose unsynchronized records.
• Bidirectional synchronization when connectivity returns.
• Conflict resolution for the case where headquarters and a remote site modify the same record.
• Store-and-forward queues for long outages.
• Ability to run on industrial PCs/gateways, not just phones.
• Ability to restrict synchronization to the data relevant to each site.
• Encryption both locally and during synchronization.
• Monitoring that tells you which sites haven't synchronized recently.

Couchbase's synchronization stack specifically provides bidirectional replication and version-vector-based conflict resolution, which makes it a particularly strong candidate for this architecture.

If you tell me what your remote sites are (e.g., warehouses, oil/gas, retail stores, manufacturing), what database you're using today (SQL Server/Postgres/etc.), and what devices/apps write the data, I can narrow this to 2–3 architectures and explain how you'd migrate without losing data.

Yes. There are several credible vendors, but they fall into two different categories: true edge databases that can synchronize locally between sites/devices, and offline-first client databases that synchronize back to a central backend.

My shortlist for your situation

1. Couchbase is probably the closest match.
Its newer Couchbase Edge Server is specifically designed for resource-constrained remote locations. It keeps a database at the site, lets applications operate completely offline, and synchronizes upstream when connectivity returns. Couchbase Lite clients can also synchronize with the local Edge Server.

A topology such as:

Cloud → Edge Server at remote site → local applications/devices

is particularly attractive if you have multiple users/devices at each remote location. You can keep operating during a WAN outage instead of having every device independently accumulate data. Couchbase also provides version-vector conflict resolution.

2. Ditto is especially interesting if the site itself has unreliable networking.
Ditto puts an embedded database on devices and can synchronize directly between nearby devices using Wi-Fi, Bluetooth, or LAN, rather than requiring the Internet. That means devices at a remote site can continue exchanging data even when the site's Internet connection is completely down.

3. PowerSync is compelling if your existing system is relational.
It keeps an SQLite database inside the application and synchronizes it with PostgreSQL, MySQL, MongoDB, or SQL Server. Local writes happen immediately and are queued for upload, with retries when connectivity returns.

4. RxDB is worth considering for a JavaScript-heavy stack.
It's an embedded local-first database with a replication engine that can work with custom backends, PostgreSQL/MongoDB-based services, HTTP, GraphQL, CouchDB, and even peer-to-peer WebRTC.

What I'd choose

If you're describing industrial/field/remote-site infrastructure, I'd investigate Couchbase Edge Server and Ditto first.

The key architectural distinction is:

• One computer/server at each remote site: Couchbase Edge Server is a very natural fit.
• Lots of phones/tablets/scanners that need to communicate locally: Ditto is particularly compelling.
• You already have a large PostgreSQL/SQL Server system: PowerSync can avoid replacing your backend.
• You're building a JS application from scratch: RxDB gives you more architectural flexibility.

One important point: don't solve this merely with an offline cache. You want durable local writes + an outbound change queue + retryable synchronization + deterministic conflict handling. Otherwise you can still lose data when the connection drops at exactly the wrong moment. Couchbase, Ditto, PowerSync and RxDB are all designed around that local-first model.

If you tell me what database/backend you're using now (Postgres, SQL Server, MongoDB, etc.), what runs at each remote site, and roughly how many devices per site, I can narrow this to the 2–3 architectures I'd seriously evaluate.

When managing remote sites with intermittent internet connectivity, standard cloud-centric databases often fail because they block or drop transactions when the socket closes . To solve this, you need an offline-first edge architecture where a lightweight local database captures writes instantly and uses a dedicated sync engine to reconcile changes upstream once connectivity returns.

Several prominent database providers and sync engines specialize in this exact pattern:

• Couchbase Edge Server & Couchbase Lite: Designed specifically for resource-constrained edge environments. Couchbase Lite embeds locally at the edge for autonomous operation, while Couchbase Edge Server or Sync Gateway manages bi-directional, upstream/downstream offline-first synchronization back to a central cluster.
• ObjectBox Sync: A high-performance, ultra-lightweight embedded database tailored for IoT gateways and edge devices. It operates 100% cloud-optional locally on-premises and provides automatic bi-directional sync (edge-to-edge or edge-to-cloud) with built-in conflict resolution and an explicit MongoDB connector for cloud centralization.
• Ditto: Built from the ground up for edge computing in hostile or disconnected network environments (warehouses, remote field operations, transit). Ditto uses Conflict-free Replicated Data Types (CRDTs) , meaning edge nodes can sync peer-to-peer over local Wi-Fi, Bluetooth, or LAN even if there is zero connection to the outside world, automatically merging data once a gateway gets online.
• PowerSync: If your stack is built around PostgreSQL (like Supabase ), PowerSync provides a managed sync engine and client SDKs that maintain an embedded local SQLite database on the edge. Writes are committed locally and safely managed via an automated upload queue until the network recovers.
• Apache CouchDB / PouchDB: A classic master-to-master, document-based JSON database solution. CouchDB's built-in native replication protocol is inherently offline-first, allowing edge nodes to replicate changes incrementally whenever a connection is established.
• RxDB: A local-first, reactive JavaScript database that runs nicely in Node.js or browser-based edge environments. It features a robust replication sync engine with pluggable backends (GraphQL, CouchDB, or custom WebSocket/WebRTC transports) to queue and push offline mutations cleanly.

To help narrow down the best fit, could you share:

• What hardware or OS are your remote edge nodes running (e.g., Linux gateways, mobile/tablet devices, local servers)?
• What central cloud or backend database do you eventually need to sync back to?