NexaGres

NexaGres

← Back to homeNexaGres DMS plans the move to Postgres. PolyWire runs and governs workloads on Postgres. NexaGres DMS tells you how hard moving to Postgres will be; PolyWire keeps your application running while you do it.

01 ghcr.io/polygres26/dms

NexaGres DMS

Tool for moving off Oracle/MySQL/MariaDB/SQL Server onto Postgres: assess how hard the migration is, launch and track the real data-movement run, and bridge your existing application to Postgres while you do it.

On this page

Two ways to get an assessment

Live and click-through, not a screenshot — try adding, favoriting, or browsing a connection yourself. Open full-screen →

What you get

Uploaded-report management, live — analyzed/not-analyzed status per file, the same view either data path lands you on. Open full-screen →

Where NexaGres DMS is still early: saved connection credentials are stored as-is today — encryption at rest is planned but not yet built, so treat this like any other tool you'd point at a database with a password in a config file. There's a single shared admin account, no per-user roles or SSO yet. Worth knowing before you point it at anything you wouldn't otherwise put in a plaintext config.

Quick start:

docker run -p 8090:8090 \ -v polyadvisor-data:/data \ ghcr.io/polygres26/dms:latest

Connecting, exploring, and reviewing PL/SQL with an LLM's help

A connection is a JDBC URL, a schema/user, and a credential — plain password today, or a reference into Vault or CyberArk if you'd rather not store the secret in NexaGres DMS at all. Once it's saved, Objects lists everything that user can see, grouped by type and (for a multi-schema connection) owner-qualified so a package in one schema is never confused for one in another. Selecting a routine shows its real source, pulled live from the database, not a cached copy.

NexaGres DMS's add-connection form filled in with a name, an Oracle JDBC URL, a schema/user, and a masked password, with Password/Vault/CyberArk credential-source options above the password field
Adding a connection: name, JDBC URL, schema/user, and a credential — stored as a plain password by default, or resolved from Vault/CyberArk at connect time instead of being stored at all.

What the LLM step actually does, precisely: select a package, procedure, or function and NexaGres DMS can ask an LLM to explain it — a plain-English summary of what it does, a bullet list of the specific constructs that are non-trivial to port to Postgres (cursor locking, DBMS_OUTPUT, autonomous transactions, and the like), and a trivial/moderate/substantial effort estimate with its reasoning. This is a reviewer's aid, not a code generator — it does not emit PL/pgSQL, and nothing it produces feeds back into the deterministic score above. Runs entirely local by default (no API key, nothing leaves the machine) against a small on-box model, or against an external provider if you configure one on the LLM page.

NexaGres DMS's Objects tab showing an Oracle stored procedure's real source code (a cursor FOR UPDATE loop, DBMS_OUTPUT, an audit-log insert, exception handling) and, below it, a live LLM-generated summary: what the procedure does, a list of non-trivial-to-port constructs, and a migration-effort estimate with reasoning
A real Oracle procedure's source (left: cursor FOR UPDATE loop, DBMS_OUTPUT, exception handling) and the LLM's live output below it — a summary, the specific constructs that need manual attention when porting to Postgres, and an effort estimate. Explanation and risk-flagging, not automated translation.

Admin console

NexaGres DMS's Findings tab for a connected MySQL database: two itemized migration findings, each with a severity badge (moderate, trivial) and a plain-English explanation of what it means for a Postgres port
The Findings tab against a real MySQL connection — each item found in the schema, its severity, and a plain-English explanation of what it actually means for the port. The same connection also has Objects (schema/routine browsing), Workload (captured query summary), and Parameters (full config inspection) tabs alongside this one.
NexaGres DMS's Sizing recommendation for the same connection: a SMALL tier with 2 vCPUs, 12 GB memory, 20 GB storage, 3,000 storage IOPS, and 100 max_connections, plus a caveats box and a rationale list explaining each number
Sizing recommendation for the same connection — a starting-point Postgres instance shape built from a fresh schema-size scan and workload capture, with the caveats and the line-by-line rationale behind every number shown alongside it, not hidden behind a tooltip.

The two screenshots above are the real product against a real connection. The embed below is the click-through demo — synthetic data standing in for a real connection, but the same console, every page explorable, nothing left as a static picture.

Sizing, live — vCPUs, memory, storage, IOPS, and the reasoning behind each number. Open full-screen →

Migration Service: launch and track a migration

Assessment tells you what you're dealing with; Migration Service is where you actually move the data — real, massively-parallel nexagres-migration runs (MongoDB change streams, MySQL binlog, SQL Server/Oracle native CDC, DynamoDB Streams, SQS, Neo4j snapshot, InfluxDB timestamp-cursor tail), launched from a form and tracked to completion, without ever leaving NexaGres DMS. Every write lands through PolyWire's own gRPC driver — never a direct JDBC connection to the target — so a migration in progress is subject to the exact same firewall, QoS, and cache pipeline as any other client.

nexagres-migration architecture: eight real source connectors -- MongoDB, MySQL, SQL Server, Oracle, DynamoDB, Amazon SQS, Neo4j, and InfluxDB -- each an initial parallel snapshot plus, where the source supports it, a live change-data-capture tail, coordinated by either Coordinator (one process, local thread pool, free tier runs serial) or DistributedCoordinator (a fleet of worker processes sharing a PartitionLeaseStore, Enterprise-licensed), landing through ResilientSink's retry-then-dead-letter path into PolywireGrpcSink, which writes exclusively through PolyWire's own gRPC driver into the target Postgres. A CutoverReadinessChecker rolls partition completion, change-feed lag, dead-letter count, and row-level verification into a single ready/not-ready signal.
Every source connector feeds the same pipeline: parallel initial snapshot, then (where the source has one) a live change-data-capture tail owned by exactly one leader, retried and dead-lettered on failure, and written into Postgres exclusively through PolyWire's own gRPC driver. Local thread-pool parallelism is free; a distributed worker fleet sharing one lease store is the Enterprise tier. A readiness checker rolls partitions, lag, dead letters, and row-level verification into one go/no-go signal before you cut over.

Launch picks a connector, the target Postgres connection, and the source's own credentials, then starts the run server-side. Status shows the same live progress every worker process itself checkpoints against — partitions done, events applied, change-feed lag, and which worker currently owns the live tail — for every source pointed at that target, not just the one you just launched. Parallelism above 1 needs an Enterprise PolyWire license; without one, a migration still runs correctly, just serially, one partition at a time.

Sources Migration Service accepts

Every source gets a real, parallel initial snapshot. Where the source has a genuine change-tracking mechanism, Migration Service also runs a live change-data-capture (CDC) tail after the snapshot — not a polling re-scan. Where it doesn't (a queue; a graph database with no CDC in its free tier), that's stated plainly below, not glossed over.

SourceInitial snapshotLive CDCMechanism
MongoDB✓ parallelChange streams + resume tokens
MySQL✓ parallelBinary log, ROW format
SQL Server✓ parallelNative CDC (cdc.fn_cdc_get_all_changes_*)
Oracle✓ parallelLogMiner, SCN-checkpointed
DynamoDB✓ parallel scanDynamoDB Streams, shard-polled
Amazon SQSn/a — a queuen/aDrain-forward-delete, at-least-once (matches SQS's own guarantee)
Neo4j✓ parallelSnapshot only — Neo4j has no CDC outside Enterprise edition
InfluxDB✓ parallelTimestamp-cursor live tail

Every target schema is matched byte-for-byte to PolyWire's own wire protocol store, so a real client speaking that protocol can use the migrated data immediately.

Launch and Status, live — start a mock migration and watch it show up in both tabs. Open full-screen →
The full console, starting from sign-in — every section above lives inside this one app. Open full-screen →