Edge computing demands databases that run where your app runs — embedded, zero-config, and purpose-built for the workload. We compare the top options: Turso for edge-native SQLite, PocketBase for all-in-one backends, DuckDB for analytical processing, and RocksDB for high-throughput key-value storage.
The shift toward edge computing means your database can't live in a centralized cloud cluster anymore. It needs to sit alongside your application — reducing latency, enabling offline-first capabilities, and handling data where it's generated.1
Embedded databases have been around for decades (SQLite shipped in 2000), but the edge computing wave has given them new relevance. The question is no longer whether to embed a database, but which one fits your workload.
Here's a breakdown of the four strongest candidates, categorized by what they're built to do.
Turso is the most interesting evolution of SQLite in years. It's built on libSQL, an open-source fork of SQLite, and designed specifically for edge deployment with low-latency access across distributed locations.2
What makes Turso stand out is its replication model. You get the full relational power of SQLite — schemas, transactions, JOINs — with the ability to replicate databases close to your edge compute nodes. Reads are fast because the data is local; writes are coordinated through a primary replica.
Best for: Applications that need a familiar SQL interface with edge-native distribution. Think serverless functions, edge workers, and IoT backends that can't afford a round-trip to a central database.
PocketBase takes a different approach. Instead of just a database, it gives you a complete embedded backend in a single binary: SQLite database, authentication, file storage, admin UI, and a REST API.3
The database layer is SQLite under the hood, but PocketBase wraps it with real-time subscriptions, relationship management, and a built-in admin dashboard. You deploy one file and you have a full backend running.
Best for: Side projects, internal tools, and edge deployments where you need a backend fast and don't want to wire up auth, storage, and an API separately. The single-binary deployment is a genuine advantage for constrained edge environments.
DuckDB is the odd one out in this list — it's an in-process SQL OLAP database, not an OLTP database.1 That means it's optimized for analytical queries (aggregations, window functions, large scans) rather than point lookups and transactions.
For edge computing, DuckDB shines when you need to process and analyze data on the device itself. Think log analysis on a gateway device, sensor data aggregation at the edge, or any scenario where you want to run complex queries without shipping raw data to a cloud warehouse.
Best for: Analytical workloads at the edge — data processing, reporting, and ETL on constrained devices where you can't spin up a full analytical database.
RocksDB is a high-performance key-value store optimized for fast writes and reads, particularly on flash storage.1 It's the embedded engine behind many larger databases (including CockroachDB and YugabyteDB), but it also runs standalone.
For edge computing, RocksDB excels at write-heavy workloads — logging, time-series data ingestion, streaming data processing. Its LSM-tree architecture means writes are always fast, even on spinning disks or flash.
Best for: Write-intensive edge workloads: logging, metrics collection, message queues, and any scenario where you're ingesting high volumes of data at the edge.
The right embedded database depends entirely on your workload:
| Workload | Pick |
|---|---|
| Relational, edge-distributed, familiar SQL | Turso |
| Full backend in one binary | PocketBase |
| Analytical queries on edge data | DuckDB |
| High-throughput key-value writes | RocksDB |
If you're building a traditional CRUD app at the edge, Turso or PocketBase will serve you well. If you're processing analytics on-device, DuckDB is the clear choice. And if you're ingesting high volumes of streaming data, RocksDB's write performance is unmatched.
Disclosure: Some links on this page are affiliate links. We only recommend tools we've evaluated and believe are genuinely useful for the use cases described.
This page was written by the engine and the engine is still on the line. The conversation below picks up where the article stops.
Yes — the picks above are the engine's current verdicts. Ask a sharper version of this question below and you'll get a custom answer with the latest pricing.