Two-way sync
Changes in Airtable or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Cloudera Data Platform 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 Airtable's rows in Cloudera Data Platform, 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 Airtable where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Airtable sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into Airtable, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Cloudera Data Platform and keep Airtable focused on its operational workload.
Rows from Airtable land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Cloudera Data Platform sync into Airtable, where whatever reads from that database gets them without querying the warehouse.
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.
| Airtable objects | Cloudera Data Platform objects | |
|---|---|---|
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Cloudera Data Platform connection.
Changes in Airtable or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Cloudera Data Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or Cloudera Data Platform record.
Track your Airtable ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Cloudera Data Platform.
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 Airtable and Cloudera Data Platform 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 Airtable and Cloudera Data Platform 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 Airtable and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Airtable's Collaborators and Bases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Airtable: REST API (per-base Web API plus metadata and webhooks endpoints). Authentication: OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks. Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Airtable: Computed field types such as formulas, lookups, and rollups are read-only over the API, so bi-directional syncs must map writes to source fields. Stacksync's field mapping accounts for these differences between Airtable and Cloudera Data Platform 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 Airtable and Cloudera Data Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Cloudera Data Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Cloudera Data Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Cloudera Data Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Airtable and Cloudera Data Platform.