Real-time
Two-way sync
Changes in Apache Cassandra or Nutshell instantly reflect in both systems. No stale data, no manual imports.
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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
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
- 01 Keep People and Companies consistent between Nutshell and email marketing or outreach tools.
- 02 Write subscription or product data from internal systems into Nutshell so reps see account context.
- 03 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
- 04 Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Users Rep records used to resolve ownership when syncing assignments | Partitions and Rows is specific to Apache Cassandra and Users to Nutshell — each maps to any object or custom field on the other side. | |
| 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 | Materialized Views is specific to Apache Cassandra and Leads to Nutshell — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | People Individual contacts, kept consistent with marketing and outreach tools | Secondary Indexes is specific to Apache Cassandra and People to Nutshell — each maps to any object or custom field on the other side. | |
| 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 | User-Defined Types is specific to Apache Cassandra and Companies to Nutshell — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Activities Logged calls, meetings, and emails used for engagement reporting | Collections is specific to Apache Cassandra and Activities to Nutshell — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Tasks Rep to-dos mirrored into external work-management or reporting systems | Counters is specific to Apache Cassandra and Tasks to Nutshell — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and Nutshell
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Cassandra Nutshell Sub-second propagation
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to Nutshell through its API, with automatic retries and rate-limit backoff.
Nutshell Apache Cassandra Sub-second propagation
DetectionNutshell notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling as fallback.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
- Nutshell: Subject to the platform's API rate limits.
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.
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.
- 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.
Apache Cassandra
connected
Nutshell
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Apache Cassandra ⇄ NutshellCustomers 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.
Apache Cassandra NutshellCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Nutshell integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Nutshell: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Partitions and Rows and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Nutshell: JSON-RPC API over HTTPS; a newer REST API is also offered. Authentication: HTTP Basic with account email and API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Nutshell: Authentication uses HTTP Basic with an account email and API key, so no OAuth flow is required for server-to-server sync. 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 Apache Cassandra and Nutshell 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 Apache Cassandra and Nutshell 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 Apache Cassandra and Nutshell connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Nutshell integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Nutshell. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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:
Related integrations
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