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Database ⇄ Business productivity

Apache Cassandra to BetterContact integration — real-time data sync

Keep Apache Cassandra and BetterContact in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Cassandra and BetterContact

Mirror BetterContact's data into Apache Cassandra so your own code can read and write it like any other table, with changes flowing both ways in seconds.

BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into Apache Cassandra, so Apache Cassandra always reflects the current state of BetterContact — without exports, scripts, or schedulers.

Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Apache Cassandra.

Stacksync mirrors Enrichment Request, Enriched Contact, Company, Lead Finder Search from BetterContact into Collections, Counters, Keyspaces, Tables in Apache Cassandra and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.

Common use cases

  • 01 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
  • 02 Backfill a warehouse of contacts with waterfall enrichment across 20+ data providers.
  • 03 Feed Cassandra change streams into search indexes or caches that must track the source of truth.
  • 04 Consolidate data from multiple keyspaces or clusters into one reporting store.

Common sync patterns

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read BetterContact with a query

Records from BetterContact are ordinary rows in Apache Cassandra; join them, index them, and use them in application logic without touching the vendor API.

Automate BetterContact from your codebase

Write to the synced tables in Apache Cassandra and Stacksync propagates the change into BetterContact, replacing custom integration code.

What you can sync between Apache Cassandra and BetterContact

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 BetterContact objects How this pairing syncs
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. Materialized Views is specific to Apache Cassandra and Enriched Contact to BetterContact — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Company Company data returned with each contact: name, domain, HQ location, industry, employee count. Secondary Indexes is specific to Apache Cassandra and Company to BetterContact — 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. Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. User-Defined Types is specific to Apache Cassandra and Lead Finder Search to BetterContact — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. Collections is specific to Apache Cassandra and Enrichment Request to BetterContact — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and BetterContact

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 BetterContact 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.

DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Apache Cassandra records.

BetterContact Apache Cassandra Sub-second propagation

DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.

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.
  • BetterContact: Batches capped at 100 contacts per enrichment request.
What ships with Apache Cassandra ⇄ BetterContact

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or BetterContact 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 BetterContact record.

Observability

Monitoring

Track your Apache Cassandra ⇄ BetterContact 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 BetterContact.

How the Apache Cassandra and BetterContact 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

BetterContact

Integration surface
Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
Authentication
API key
Change detection
Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
Capabilities
read · webhooks
Rate limits
Batches capped at 100 contacts per enrichment request.
How it works

How to connect Apache Cassandra to BetterContact — 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 BetterContact 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
    BetterContact connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and BetterContact 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 ⇄ BetterContact
    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 BetterContact
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and BetterContact integration FAQ

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.

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 390 integrations available for Apache Cassandra and BetterContact.

Popular · 8 of 390
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