01
Overview
Is everything okay?
Clarity across
databases.
One workspace for your databases and vectors. Safe Mode for production.
Version 0.5.0 · macOS, Windows and Linux
Desktop app · v0.5.0Recern WorkspaceA desktop workspace for PostgreSQL, MySQL, MongoDB, ClickHouse, Cassandra, Qdrant, OpenSearch, SQLite, Redis, Valkey, Dragonfly and Recern Vector: activity, queries, indexes and findings, with Safe Mode for production.Explore the workspace Open source · v0.3.0Recern VectorRecern Vector 0.3.0 combines local HNSW search, WAL and int8 storage with a portable Python API and verified migration to Qdrant. Native Rust, Node.js and CLI APIs remain available.Explore Recern Vector
01 / A clearer perspective
Understand what’s happening,
not just what’s stored.
Traditional database clients are built around tables, rows and query editors. Recern brings data, activity and performance into one workspace.
02
Data
What is stored here?
03
Activity
What is happening right now?
04
Performance
What is slow or expensive?
05
Console
Talk directly to the database.
Other database tools help you manage databases. Recern helps you understand them.
02 / Built around your database
Different databases.
Native understanding.
Each engine has its own way of working. Recern respects that — with workflows built around its runtime, not a generic interface.
AvailableCassandraQdrantOpenSearchComing laterMicrosoft SQL ServerAzure SQLDynamoDBDatabricks SQLOracle DatabaseIBM Db2SAP HANAAll databases and what comes next
Insights
See what deserves
attention.
Recern reads each server's own statistics and turns them into findings: a blocked session, an unused index, a collection full of deleted vectors. Each one leads to the view that explains it.
Inspect. Understand. Decide.
03 / Production-aware by design
Built for production.
Production connections start in Safe Mode. PostgreSQL and MySQL use read-only transactions; SQLite opens read-only and blocks unsafe operations; Redis refuses commands that write. TLS and SSH tunnels are available for server connections. MongoDB, ClickHouse, Cassandra, Qdrant and OpenSearch consoles are read-only in this version. TLS support through SSH depends on the engine; see the connection documentation. Use a dedicated read-only account and query limits; Safe Mode does not replace database permissions or prevent expensive reads.
Safe Mode for productionRead-only consoleSSH tunnels with host key checksTLS and Keychain passwords
PRODUCTIONSafe Mode ON
Confidence before every command.
04 / Recern Vector Open source · v0.3.0
A vector database
in a single file.
Recern Vector 0.3.0 combines local HNSW search, WAL and int8 storage with a portable Python API and verified migration to Qdrant. Native Rust, Node.js and CLI APIs remain available.
- Portable Python API
- Qdrant adapter
- Verified, resumable migration
- Stable files, WAL and int8
MIT or Apache-2.0. Version 0.3.0 uses stable format 2 and reads format 1. Benchmark figures are the published baseline before 0.2.0.
import recern_vector as rv
db = rv.Database.open_or_create("docs.rvec")
docs = db.create_collection("docs", dim=384, metric="cosine")
docs.upsert_many(ids, embeddings, metadatas)
hits = docs.search(query, k=5, filter={"lang": "en"})
docs.explain(query, k=5) # strategy, visited nodes, time1.30×
faiss HNSW throughput at recall 0.95 on SIFT1M
1.78×
the same comparison on GloVe-100
35s
to index one million vectors
Open the file in Recern Workspace
Workspace inspects pgvector columns and indexes, Redis search indexes and vector sets when the server supports them, and Recern Vector snapshots with committed WAL changes. Recall checks are available for Recern Vector collections, including f32 and int8.
05 / Questions / Answers
Recern,
explained clearly.
Direct answers about the workspace, supported databases and Recern Vector.
01What is Recern?
Recern is a desktop workspace for databases. It brings activity, performance and the findings that need attention into one clear view, and keeps production connections safe by default. Alongside it we build Recern Vector, an open-source embedded vector database.
02Which databases does Recern support?
Recern Workspace 0.5.0 supports PostgreSQL with pgvector, MySQL, MongoDB, ClickHouse, Cassandra, Qdrant, OpenSearch, SQLite, Redis, Valkey, Dragonfly and Recern Vector files. Microsoft SQL Server is planned for 1.0.0.
03What about vector search?
Workspace inspects pgvector columns and indexes, Redis search indexes and vector sets when the server supports them, and Recern Vector snapshots with committed WAL changes. Recall checks are available for Recern Vector collections, including f32 and int8.
04How does Recern approach production databases?
Production connections start in Safe Mode. PostgreSQL and MySQL use read-only transactions; SQLite opens read-only and blocks unsafe operations; Redis refuses commands that write. TLS and SSH tunnels are available for server connections. MongoDB, ClickHouse, Cassandra, Qdrant and OpenSearch consoles are read-only in this version. TLS support through SSH depends on the engine; see the connection documentation. Use a dedicated read-only account and query limits; Safe Mode does not replace database permissions or prevent expensive reads.
05Which platforms does Recern run on?
Recern is a desktop app for macOS, Windows and Linux. Builds appear on the download page as soon as they are released.