Two-way sync
Changes in Actian Vector or CockroachDB instantly reflect in both systems. No stale data, no manual imports.
Keep Actian Vector and CockroachDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want CockroachDB's rows in Actian Vector, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in CockroachDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in CockroachDB sync into Actian Vector in real time, and result tables in Actian Vector sync back into CockroachDB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Actian Vector sync into CockroachDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Actian Vector and keep CockroachDB focused on its operational workload.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Actian Vector objects | CockroachDB objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers targeted by a sync connection. | Databases Logical containers a sync connects to, addressed like PostgreSQL databases. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces used to organize synced tables. | Schemas Namespaces within a database used to isolate synced tables from application tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables that serve as sync sources or destinations. | Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as query-backed sync sources. | Views Read-only projections used as curated sync sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Indexes Secondary indexes that keep sync lookup queries fast on key columns. | Columns is specific to Actian Vector and Indexes to CockroachDB — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Sequences ID generators that matter when writes originate from an external system. | Users and Roles is specific to Actian Vector and Sequences to CockroachDB — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is applied to CockroachDB as a row-level write, with types converted between the two schemas.
DetectionChanges in CockroachDB are captured at the source via change data capture — no polling loop against its API. CDC via changefeeds, which stream row-level changes.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–CockroachDB connection.
Changes in Actian Vector or CockroachDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Actian Vector or CockroachDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Actian Vector or CockroachDB record.
Track your Actian Vector ⇄ CockroachDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Actian Vector and CockroachDB.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Actian Vector and CockroachDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Actian Vector and CockroachDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and CockroachDB: authenticate both systems, choose the objects to sync (such as Actian Vector's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On CockroachDB: CDC via changefeeds, which stream row-level changes; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Actian Vector side: Views, Columns, Users and Roles, Databases, plus custom fields where Actian Vector exposes them. On the CockroachDB side: Indexes, Sequences, Changefeeds, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Actian Vector and CockroachDB: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Actian Vector sync into CockroachDB, where whatever reads from that database gets them without querying the warehouse.
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. CockroachDB: SQL wire protocol (PostgreSQL-compatible). Authentication: Database credentials with TLS; client certificates or SCRAM password auth. Stacksync manages authentication, retries, and rate limits on both sides.
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, and is DPF-certified for US, EU, UK and CH data transfers.
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:
Every pair below is a real-time, two-way sync. Search all 205 integrations available for Actian Vector and CockroachDB.