Real-time
Two-way sync
Changes in Actian Vector or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Actian Vector to Redis Enterprise integration — real-time, two-way sync
Keep Actian Vector and Redis Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Actian Vector and Redis Enterprise
Connect Redis Enterprise and Actian Vector with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Redis Enterprise'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 Redis Enterprise where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Redis Enterprise sync into Actian Vector in real time, and result tables in Actian Vector sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate data from several source systems into one Vector database for BI dashboards.
- 02 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- 03 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- 04 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Actian Vector sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Actian Vector and Redis Enterprise
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers targeted by a sync connection. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Databases is specific to Actian Vector and Streams to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Schemas is specific to Actian Vector and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Tables Columnar tables that serve as sync sources or destinations. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Tables is specific to Actian Vector and Search indexes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Views SQL views readable as query-backed sync sources. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Views is specific to Actian Vector and Keys (Strings) to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Columns is specific to Actian Vector and Hashes to Redis Enterprise — 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. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Users and Roles is specific to Actian Vector and JSON documents to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Redis Enterprise
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.
Actian Vector Redis Enterprise Interval-based propagation
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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Actian Vector Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Actian Vector ⇄ Redis Enterprise
Connect Actian Vector and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Actian Vector or Redis Enterprise record.
Observability
Monitoring
Track your Actian Vector ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Redis Enterprise.
How the Actian Vector and Redis Enterprise connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Actian Vector to Redis Enterprise — three steps, no code
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.
- 01
Connect your apps
Authenticate Actian Vector and Redis Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Actian Vector
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Redis Enterprise 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.
objects · Actian Vector ⇄ Redis EnterpriseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Actian Vector Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Redis Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Redis Enterprise: 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.
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Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Actian Vector: Access is through standard SQL over JDBC/ODBC connectivity, which means syncs interact with ordinary tables, views, and schemas. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between Actian Vector and Redis Enterprise without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Actian Vector and Redis Enterprise records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Actian Vector and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Actian Vector–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Actian Vector and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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