Real-time
Real-time sync
Changes in Apache Cassandra or Aviato instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Apache Cassandra to Aviato integration — real-time data sync
Keep Apache Cassandra and Aviato 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 Aviato
Mirror Aviato'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.
Aviato 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 Aviato — without exports, scripts, or schedulers.
Engineers integrate with tools like Aviato 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 Acquisition / Exit Event, Company, Person, Funding Round from Aviato into Partitions and Rows, Materialized Views, Secondary Indexes, User-Defined Types 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 Aviato, so the tool and the database never disagree.
Common use cases
- 01 Keep a warehouse table of tracked private companies refreshed on a schedule for downstream scoring and reporting
- 02 Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
- 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
Automate Aviato from your codebase
Write to the synced tables in Apache Cassandra and Stacksync propagates the change into Aviato, replacing custom integration code.
React to changes as they happen
Updates in Aviato arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.
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.
What you can sync between Apache Cassandra and Aviato
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 | Aviato objects | How this pairing syncs | |
|---|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Keyspaces is specific to Apache Cassandra and Acquisition / Exit Event to Aviato — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Company Private-company profiles with firmographics, sector tags, and status | Tables is specific to Apache Cassandra and Company to Aviato — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Person Founder and employee profiles linked to current and past companies | Partitions and Rows is specific to Apache Cassandra and Person to Aviato — 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. | Funding Round Round-level records with stage, amount, date, and participating investors | Materialized Views is specific to Apache Cassandra and Funding Round to Aviato — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Investor Funds and angels connected to the rounds and companies they back | Secondary Indexes is specific to Apache Cassandra and Investor to Aviato — 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. | Headcount Snapshot Point-in-time employee counts used to track company growth over time | User-Defined Types is specific to Apache Cassandra and Headcount Snapshot to Aviato — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and Aviato
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 Aviato 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.
DeliveryAviato does not accept inbound record writes, so this direction carries requests rather than records: Aviato's output flows back as field updates on the originating Apache Cassandra records.
Aviato Apache Cassandra Interval-based propagation
DetectionStacksync polls Aviato for changes on an incremental schedule, reading only records changed since the previous pass. Polling-based: re-query tracked records on a schedule and diff against the last synced state.
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.
- Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
What ships with Apache Cassandra ⇄ Aviato
Connect Apache Cassandra and Aviato for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Aviato connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or Aviato 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 Aviato record.
Observability
Monitoring
Track your Apache Cassandra ⇄ Aviato 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 Aviato.
How the Apache Cassandra and Aviato 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
Aviato
- Integration surface
- REST API returning JSON, with search/filter endpoints for querying company and people records
- Authentication
- API key passed on each request
- Change detection
- Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed
- Capabilities
- read
- Rate limits
- Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls
How it works
How to connect Apache Cassandra to Aviato — 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 Aviato 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
Aviato
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Cassandra and Aviato 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 ⇄ AviatoCustomers 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 AviatoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Aviato integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Cassandra and Aviato — Aviato is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Aviato: Records are linked relationally: people connect to companies through employment history, and companies connect to investors through funding rounds. Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Stacksync's field mapping accounts for these differences between Apache Cassandra and Aviato 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 Aviato 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 Aviato connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Aviato integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Aviato. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Aviato: Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
Every pair below is a real-time, two-way sync. Search all 210 integrations available for Apache Cassandra and Aviato.
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