AllSource vs EventStoreDB
Both are event stores. Here's where we differ — performance, footprint, AI integration, and licensing.
| Feature | AllSource | EventStoreDB |
|---|---|---|
Append-only event log Both are durable event stores at their core. | ||
Ingestion throughput AllSource uses a Rust WAL + Parquet engine; EventStoreDB is .NET on disk-backed streams. | 469K events/sec | ~15K events/sec |
p99 query latency DashMap-backed projections vs. streamed reads from disk. | 11.9μs | 1–10ms |
Docker image size Rust static binary vs .NET runtime. | ~15.7MB | ~280MB |
HTTP-native API AllSource is HTTP-first. EventStoreDB's primary API is gRPC; HTTP is secondary and limited. | ||
Temporal / as_of queries AllSource supports point-in-time projections as a first-class feature. | ||
Embedded mode AllSource ships as a library you can embed in-process. EventStoreDB is always a separate server. | ||
MCP tools for AI agents AllSource ships a Model Context Protocol server out of the box. EventStoreDB has no equivalent. | 43 tools | |
Vector / semantic search AllSource Prime includes HNSW vector indexing and hybrid recall. | ||
Knowledge graph layer AllSource Prime stores graph nodes and edges as events. | ||
License EventStoreDB moved from Apache 2.0 to the Event Store License in 2023. | Open source | ESL (source-available) |
Managed cloud offering |
Pick AllSource if…
- You need microsecond-latency projection reads
- You're building AI agents that need persistent memory
- You want an embedded mode, not a separate server
- HTTP-native APIs matter to your stack
- You want a small production footprint (~129MB total)
Pick EventStoreDB if…
- You're deep in the .NET ecosystem and want mature tooling
- Your team already runs it in production at scale
- You rely on its subscription/persistent-subscription model
Want a deeper comparison?
Run AllSource locally in under a minute and try the same workload you'd run on EventStoreDB.