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Database

Connect Apache Cassandra to any app with two-way sync.

Two-way sync Apache Cassandra across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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

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Object catalog

What Stacksync syncs in Apache Cassandra.

These objects sync between Apache Cassandra and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Apache Cassandra exposes them.

Keyspaces
Top-level namespaces with replication settings that scope a sync connection.
Tables
Wide-column tables addressed by partition key, the unit of row-level sync.
Partitions and Rows
Records located by partition and clustering keys during reads and upserts.
Materialized Views
Server-maintained denormalized views; considered experimental and disabled by default in recent releases.
Secondary Indexes
Optional indexes that allow filtered reads outside the partition key.
User-Defined Types
Composite column types that syncs must flatten or map to structured fields.
Collections
List, set, and map columns handled with type-aware field mapping.
Counters
Increment-only counter columns, usually read-only in syncs.
API surface

How Stacksync connects to Apache Cassandra.

The connector runs on Apache Cassandra's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
What ships with Apache Cassandra

Connect Apache Cassandra for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in Apache Cassandra instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra record.

Observability

Monitoring

Track your Apache Cassandra sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Apache Cassandra connector.

Cassandra is adopted by platform engineering, SRE, and DBA teams running write-heavy workloads that cannot tolerate downtime — the project site cites Netflix and Bloomberg among operators running it across large multi-datacenter clusters. Its masterless architecture replicates data with no single point of failure. Data gravity is high-volume operational data: events, user activity, and time-series keyed to specific application access patterns.

  • Data engineering
  • Platform/backend engineering
  • Site reliability engineers
  • Database administrators
  1. Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.

  2. Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.

  3. Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.

  4. Feed Cassandra change streams into search indexes or caches that must track the source of truth.

  5. Consolidate data from multiple keyspaces or clusters into one reporting store.

  6. Replicate Cassandra Tables — Partitions and Rows — into a relational warehouse where analysts can join and aggregate, since Cassandra itself does not support joins.

All Apache Cassandra integrations

Pick the system you need to keep in sync with Apache Cassandra. Each page covers the sync setup, field mapping, and common workflows for that pair.

How it works

Set up Apache Cassandra in minutes, without APIs.

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.

  1. 01

    Connect your apps

    Authenticate Apache Cassandra with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Cassandra connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Cassandra database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

Apache Cassandra connector FAQ

What can I sync with the Apache Cassandra connector?

Apache Cassandra's core objects — Keyspaces, Tables, Partitions and Rows, Materialized Views and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Apache Cassandra?

Via CQL over the Cassandra native binary protocol, authenticated with Database credentials (password authenticator); TLS and role-based grants where configured. Changes are detected as follows — commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Apache Cassandra connector two-way?

Yes. Changes made in Apache Cassandra propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Apache Cassandra integration take to set up?

Most Apache Cassandra integrations go live in minutes: authenticate Apache Cassandra and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Apache Cassandra data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Apache Cassandra data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

SECURITY

Security teams trust 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
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:

Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.