Two-way sync
Changes in Apache Pinot or IBM Informix instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot and IBM Informix in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want IBM Informix's rows in Apache Pinot, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in IBM Informix where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in IBM Informix sync into Apache Pinot in real time, and result tables in Apache Pinot sync back into IBM Informix, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Apache Pinot sync into IBM Informix, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Apache Pinot and keep IBM Informix focused on its operational workload.
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 Pinot objects | IBM Informix objects | How this pairing syncs | |
|---|---|---|---|
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Tables Relational tables mapped directly to sync targets. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Views Read-only projections used to shape outbound data. | Indexes is specific to Apache Pinot and Views to IBM Informix — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | Tenants is specific to Apache Pinot and TimeSeries objects to IBM Informix — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Stored procedures Server-side logic sometimes invoked as part of write paths. | Schemas is specific to Apache Pinot and Stored procedures to IBM Informix — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Logical logs The transaction log that Informix's CDC interface reads committed changes from. | Segments is specific to Apache Pinot and Logical logs to IBM Informix — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Databases Top-level containers that scope a sync connection. | Real-time Tables is specific to Apache Pinot and Databases to IBM Informix — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is applied to IBM Informix as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–IBM Informix connection.
Changes in Apache Pinot or IBM Informix instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or IBM Informix 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 Pinot or IBM Informix record.
Track your Apache Pinot ⇄ IBM Informix sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and IBM Informix.
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 Pinot and IBM Informix 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 Pinot and IBM Informix 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 two-way integration between Apache Pinot and IBM Informix: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tables and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Pinot: Pinot separates offline and real-time tables and merges them at query time through the broker, so one logical table can span batch history and fresh stream data. IBM Informix: Standard access is through IBM's JDBC and ODBC drivers, so it fits conventional SQL-based sync tooling. Stacksync's field mapping accounts for these differences between Apache Pinot and IBM Informix 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 Pinot and IBM Informix records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and IBM Informix connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–IBM Informix integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and IBM Informix. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. 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.
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Every pair below is a real-time, two-way sync. Search all 392 integrations available for Apache Pinot and IBM Informix.