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Database ⇄ CRM

Apache Cassandra to Nutshell integration — real-time, two-way sync

Keep Apache Cassandra and Nutshell 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

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Why teams connect Apache Cassandra and Nutshell

Treat Nutshell like part of your database: its records live in Apache Cassandra as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Apache Cassandra, where it can be queried and joined like everything else.

Stacksync mirrors Users, Leads, People, Companies from Nutshell into Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Nutshell with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Keep People and Companies consistent between Nutshell and email marketing or outreach tools.
  • Write subscription or product data from internal systems into Nutshell so reps see account context.
  • Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
  • Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.

Query the CRM like a database

Accounts, contacts, and custom objects from Nutshell become tables in Apache Cassandra you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Apache Cassandra sync onto the matching records in Nutshell, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Nutshell API, limits, and retries.

What you can sync between Apache Cassandra and Nutshell

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.

Apache Cassandra objects Nutshell objects
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Users Rep records used to resolve ownership when syncing assignments
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Leads Nutshell's deal object; synced as the pipeline record linked to people and companies
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. People Individual contacts, kept consistent with marketing and outreach tools
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Companies Account records that group people and leads for account-level syncs
Collections List, set, and map columns handled with type-aware field mapping. Activities Logged calls, meetings, and emails used for engagement reporting
Counters Increment-only counter columns, usually read-only in syncs. Tasks Rep to-dos mirrored into external work-management or reporting systems
What ships with Apache Cassandra ⇄ Nutshell

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

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

Real-time

Two-way sync

Changes in Apache Cassandra or Nutshell instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Nutshell 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 or Nutshell record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Nutshell.

How the Apache Cassandra and Nutshell connectors work

Apache Cassandra

Integration surface
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
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

Nutshell

Integration surface
JSON-RPC API over HTTPS; a newer REST API is also offered
Authentication
HTTP Basic with account email and API key
Change detection
webhook subscriptions for record events, with polling as fallback
Capabilities
read · write · webhooks
Rate limits
subject to the platform's API rate limits
How it works

How to connect Apache Cassandra to Nutshell — 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.

  1. 01

    Connect your apps

    Authenticate Apache Cassandra and Nutshell with each platform's 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
    Nutshell connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and Nutshell 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra ⇄ Nutshell
    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 Nutshell
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and Nutshell integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Cassandra and Nutshell.

Popular · 8 of 386
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