Two-way sync
Changes in Redis Enterprise or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Redis Enterprise and StarRocks 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 Redis Enterprise's rows in StarRocks, 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 StarRocks in real time, and result tables in StarRocks sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in StarRocks sync into Redis Enterprise, 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 StarRocks and keep Redis Enterprise 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.
| Redis Enterprise objects | StarRocks objects | |
|---|---|---|
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Partitions Time or range partitions that scope loads and retention. | |
| Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Columns Columnar storage with types mapped from source systems during sync. | |
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Views Logical views for shaping analytical reads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–StarRocks connection.
Changes in Redis Enterprise or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Redis Enterprise or StarRocks record.
Track your Redis Enterprise ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and StarRocks.
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 Redis Enterprise and StarRocks 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 Redis Enterprise and StarRocks 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 Redis Enterprise and StarRocks: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Search indexes and Keys (Strings)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the StarRocks side: Columns, Databases, Tables, Materialized views, plus custom fields where StarRocks exposes them. On the Redis Enterprise side: Pub/Sub channels, Search indexes, Keys (Strings), Hashes. 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 Redis Enterprise and StarRocks: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in StarRocks sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). 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 386 integrations available for Redis Enterprise and StarRocks.