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ZoomInfo Move billions of records across systems with sub-second latency, exactly-once delivery, and per-record observability — without rewriting your stack.
The pipeline that worked at 1M records/day starts dying at 100M. Most rebuilds happen for the same three reasons.
Your warehouse can ingest at 100k records/sec; your CRM API caps at 100/sec. Without intelligent backpressure, queues balloon and the slowest connector starves the rest.
Most pipelines log success or failure but not what was processed. Recovering from a partial outage means writing a one-off backfill script — and crossing your fingers that it doesn't double-write.
When Salesforce adds a field or Stripe deprecates an endpoint, your pipeline silently drops the new data and you find out a week later from a confused dashboard.
Every tool Stacksync replaces is one fewer vendor, one fewer bill, one fewer integration to maintain.
Changes made in one platform automatically update across all connected systems in real time, eliminating data silos and reducing errors.
Stop building brittle API scripts. With Stacksync, you can trigger complex automated workflows using simple SQL commands.
Expose every enterprise system to your agents through a single MCP layer. Claude, ChatGPT and Gemini get production-grade tools without custom glue code.
Handle massive traffic spikes without losing a single event. Queues buffer your data during surges, ensuring strict ordering and reliable delivery.
Interact with your CRM, ERP, and payment tools as if they were just another table in your database. Say goodbye to rate limits and complex API documentation.
Transform legacy EDI complexity into simple database interactions. Stacksync automatically parses incoming EDI documents directly into your database tables.
Stacksync runs on a streaming-first architecture (Kafka under the hood) with exactly-once semantics, durable retries, and end-to-end OpenTelemetry tracing per record.
Salesforce HubSpot Stripe Postgres MongoDB Snowflake BigQuery Databricks As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
What throughput can Stacksync sustain?
Production deployments routinely sustain 100k+ records/second per pipeline, with horizontal scaling for higher loads. The platform is tested at 1M+ records/second on stress fixtures.
How is exactly-once delivery guaranteed?
Stacksync uses idempotency keys per record and transactional outbox patterns at sinks. Replays of any window are safe — duplicates are dropped at the sink.
What happens when an upstream schema changes?
Schema changes are detected on every sync. New fields appear automatically; removed or renamed fields trigger a Slack/email alert with the affected mappings, before the next sync runs.
How do we replay a missed window?
Every sync run is durable with a per-record manifest. Click 'Replay' on a window in the UI; Stacksync re-runs the failed records (deduped by idempotency key) without touching the records that succeeded.
