Real-time sync
Changes in Apache Cassandra or Aviato instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Write to the synced tables in Apache Cassandra and Stacksync propagates the change into Aviato, replacing custom integration code.
Updates in Aviato arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | |
|---|---|---|
| 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 | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Company Private-company profiles with firmographics, sector tags, and status | |
| 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 | |
| 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 | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Investor Funds and angels connected to the rounds and companies they back | |
| 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 |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Aviato connection.
Changes in Apache Cassandra or Aviato instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Aviato data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Aviato record.
Track your Apache Cassandra ⇄ Aviato sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Aviato.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Cassandra and Aviato.