Real-time
Two-way sync
Changes in SingleStore or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
SingleStore to Yellowbrick integration — real-time, two-way sync
Keep SingleStore and Yellowbrick 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect SingleStore and Yellowbrick
Connect SingleStore and Yellowbrick 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 SingleStore's rows in Yellowbrick, 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 SingleStore where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SingleStore sync into Yellowbrick in real time, and result tables in Yellowbrick sync back into SingleStore, with schema and type mapping between the two systems handled for you.
Common use cases
- Push warehouse-computed aggregates or segments back into operational tools such as a CRM.
- Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
- Keep reference data consistent between SingleStore and application databases.
- Feed synced operational data into applications that need low-latency responses over fresh data.
Operational data in the warehouse, minus the pipeline
Rows from SingleStore land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Yellowbrick sync into SingleStore, 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 SingleStore and Yellowbrick
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.
| SingleStore objects | Yellowbrick objects | |
|---|---|---|
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Views Read-only projections used as curated sync sources. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Views Logical views used to shape reads for BI and downstream syncs. | |
| Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Stored Procedures Existing logic sometimes invoked on write paths. | Databases Top-level containers for schemas and tables. |
What ships with SingleStore ⇄ Yellowbrick
Connect SingleStore and Yellowbrick for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Yellowbrick connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever SingleStore or Yellowbrick 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 SingleStore or Yellowbrick record.
Observability
Monitoring
Track your SingleStore ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between SingleStore and Yellowbrick.
How the SingleStore and Yellowbrick connectors work
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
Yellowbrick
- Integration surface
- SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
- Authentication
- Database credentials, with LDAP and Kerberos options in enterprise deployments
- Change detection
- Polling on timestamp columns; no exposed transaction-log CDC
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works
How to connect SingleStore to Yellowbrick — 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 SingleStore and Yellowbrick with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
SingleStore
connected
Yellowbrick
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the SingleStore and Yellowbrick 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 · SingleStore ⇄ YellowbrickCustomers 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.
SingleStore YellowbrickCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
SingleStore and Yellowbrick integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between SingleStore and Yellowbrick: authenticate both systems, choose the objects to sync (such as SingleStore's Tables (rowstore and columnstore) and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yellowbrick: High-volume ingest and extract go through the dedicated ybload and ybunload utilities rather than plain INSERT statements. SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Stacksync's field mapping accounts for these differences between SingleStore and Yellowbrick 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 SingleStore and Yellowbrick 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 SingleStore and Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom SingleStore–Yellowbrick integration in-house.
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Yes — Stacksync ships production-grade connectors for both SingleStore and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams love 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
CSA STAR
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
Every pair below is a real-time, two-way sync. Search all 386 integrations available for SingleStore and Yellowbrick.
Popular · 8 of 386
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SingleStore ⇄ Cloudera Data Platform -
SingleStore ⇄ Dremio -
SingleStore ⇄ Exasol -
SingleStore ⇄ Firebolt -
Yellowbrick ⇄ OpenSearch -
Yellowbrick ⇄ Oracle DB -
Yellowbrick ⇄ RavenDB -
Yellowbrick ⇄ Redis Enterprise
No integrations match .
