Two-way sync
Changes in Airtable or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Apache Cassandra in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Airtable and Apache Cassandra continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Airtable and Apache Cassandra, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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 | Apache Cassandra objects | |
|---|---|---|
| Linked records Cross-table references that carry relationships between synced tables. | Collections List, set, and map columns handled with type-aware field mapping. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Counters Increment-only counter columns, usually read-only in syncs. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Keyspaces Top-level namespaces with replication settings that scope a sync connection. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Tables Wide-column tables addressed by partition key, the unit of row-level sync. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Partitions and Rows Records located by partition and clustering keys during reads and upserts. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Apache Cassandra connection.
Changes in Airtable or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Apache Cassandra 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 Apache Cassandra record.
Track your Airtable ⇄ Apache Cassandra sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Apache Cassandra.
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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra: authenticate both systems, choose the objects to sync (such as Airtable's Linked records and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Airtable and Apache Cassandra: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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. Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Stacksync manages authentication, retries, and rate limits on both sides.
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. Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. Stacksync's field mapping accounts for these differences between Airtable and Apache Cassandra 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 Apache Cassandra records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Apache Cassandra connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Apache Cassandra integration in-house.
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 Apache Cassandra.