Place capture beside the source and apply beside the destination so expensive database operations stay on fast local networks. SQL Flow compresses and encrypts the change stream, absorbs WAN interruptions, and catches up without restarting the pipeline.
The job to be done
A capability matters when it removes an operational decision, not when it adds another checkbox. SQL Flow connects source-aware capture, durable progress, target apply, and validation so the page you are reading leads to a usable operating path.
SQL Flow reads transaction data on source-side compute and performs target apply on destination-side compute. The WAN carries compressed change containers instead of remote database reads, writes, and repeated protocol round trips. SQL Flow handles local source-log access; local target batching and apply; compressed and encrypted change containers; far fewer latency-sensitive WAN round trips.
Why this path matters
SQL Flow reads transaction data on source-side compute and performs target apply on destination-side compute. The WAN carries compressed change containers instead of remote database reads, writes, and repeated protocol round trips. SQL Flow handles local source-log access; local target batching and apply; compressed and encrypted change containers; far fewer latency-sensitive WAN round trips.
What changes for you
Durable storage on both sides decouples source capture from remote delivery. If the link slows or disappears, captured work waits safely and transfer resumes from the last durable destination offset. SQL Flow handles capture continues within configured retention limits; idempotent remote ingest prevents duplicate groups; reconnect resumes without rebuilding the pipeline; backlog and drain progress remain visible.
The outcome
Tell us the source location, destination region, available bandwidth, and outage tolerance. We will place processing, size durable buffers, and plan catch-up for the real network.
The payoff
Source reads and target writes stay inside their zones.
Move fewer bytes across the slow link while protecting data in transit.
Delivery continues from durable remote progress.
Where the work happens
Read each capability as part of the operating path. The important question is not whether a feature exists, but what work it removes and what evidence it leaves behind.
Accelerate across distance
SQL Flow reads transaction data on source-side compute and performs target apply on destination-side compute. The WAN carries compressed change containers instead of remote database reads, writes, and repeated protocol round trips.
SQL Flow handles local source-log access; local target batching and apply; compressed and encrypted change containers; far fewer latency-sensitive WAN round trips.
Outage tolerance
Durable storage on both sides decouples source capture from remote delivery. If the link slows or disappears, captured work waits safely and transfer resumes from the last durable destination offset.
SQL Flow handles capture continues within configured retention limits; idempotent remote ingest prevents duplicate groups; reconnect resumes without rebuilding the pipeline; backlog and drain progress remain visible.
One operational view
Operators see source capture, network transfer, destination apply, lag, resource use, and durable backlog together while each side remains independently restartable.
SQL Flow handles end-to-end and per-stage lag; independent source-side and destination-side health; transfer rate and compression visibility; coordinated lifecycle controls.
Before you choose
Use the page-specific details below as a short discovery checklist. They are the conditions and work areas that shape the capability, not generic product promises.
The path to confidence
The page keeps the product detail close to the decision it supports. Your team can see what the software handles automatically, what it changes for the target, and what the result leaves ready to operate.
SQL Flow reads transaction data on source-side compute and performs target apply on destination-side compute. The WAN carries compressed change containers instead of remote database reads, writes, and repeated protocol round trips. SQL Flow handles local source-log access; local target batching and apply; compressed and encrypted change containers; far fewer latency-sensitive WAN round trips.
Durable storage on both sides decouples source capture from remote delivery. If the link slows or disappears, captured work waits safely and transfer resumes from the last durable destination offset. SQL Flow handles capture continues within configured retention limits; idempotent remote ingest prevents duplicate groups; reconnect resumes without rebuilding the pipeline; backlog and drain progress remain visible.
Operators see source capture, network transfer, destination apply, lag, resource use, and durable backlog together while each side remains independently restartable. SQL Flow handles end-to-end and per-stage lag; independent source-side and destination-side health; transfer rate and compression visibility; coordinated lifecycle controls.
Keep the plan connected
A capability becomes easier to operate when the next decision follows from the constraint you just uncovered. Explore the related work that completes this part of the path.
Your working set
Take the next step
Tell us the source location, destination region, available bandwidth, and outage tolerance. We will place processing, size durable buffers, and plan catch-up for the real network.
Talk through my use case