Two-way sync
Changes in Couchbase or Dremio instantly reflect in both systems. No stale data, no manual imports.
Keep Couchbase and Dremio 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 Couchbase's rows in Dremio, 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 Couchbase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Couchbase sync into Dremio in real time, and result tables in Dremio sync back into Couchbase, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Dremio sync into Couchbase, 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 Dremio and keep Couchbase 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.
| Couchbase objects | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Buckets is specific to Couchbase and Sources to Dremio — each maps to any object or custom field on the other side. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Scopes is specific to Couchbase and Physical datasets to Dremio — each maps to any object or custom field on the other side. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Collections is specific to Couchbase and Virtual datasets (views) to Dremio — each maps to any object or custom field on the other side. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | JSON Documents is specific to Couchbase and Apache Iceberg tables to Dremio — each maps to any object or custom field on the other side. | |
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Global Secondary Indexes is specific to Couchbase and Spaces and folders to Dremio — each maps to any object or custom field on the other side. | |
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | XDCR replications is specific to Couchbase and Reflections to Dremio — 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.
DetectionChanges in Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.
DeliveryEach detected change is applied to Dremio as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is applied to Couchbase as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–Dremio connection.
Changes in Couchbase or Dremio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Couchbase or Dremio data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Couchbase or Dremio record.
Track your Couchbase ⇄ Dremio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Couchbase and Dremio.
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 Couchbase and Dremio 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 Couchbase and Dremio 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 Couchbase and Dremio: authenticate both systems, choose the objects to sync (such as Couchbase's Buckets and Scopes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. Couchbase: SQL++ (N1QL) provides SQL-style querying over JSON documents, including joins across collections, so extraction can be query-shaped rather than key-by-key. Stacksync's field mapping accounts for these differences between Couchbase and Dremio without custom code.
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 Couchbase and Dremio records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Couchbase and Dremio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Couchbase–Dremio integration in-house.
Yes — Stacksync ships production-grade connectors for both Couchbase and Dremio. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. On Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 351 integrations available for Couchbase and Dremio.