Integrations & Interoperability That Deliver Results
emite is designed for frictionless interoperability across your enterprise’s technology stack. With support for modern and legacy systems.
Connect anything. Standardise everything. Operationalise insights.
emite delivers pragmatic interoperability across your enterprise—linking SaaS, legacy, data platforms, and event streams—so teams can trust, act on, and visualise one version of the truth.
Why emite iPaaS
Integrate at speed:
Connectorless integration across many cloud sources, such as Rest APIs, Real time streaming, databases and S3.
Interoperate by design:
Normalise, validate, and enrich data into governed, reusable models, not one‑off point connections.
Activate outcomes:
Role based dashboards, alerts, and automations put decisions where the work happens.
AI ready foundation:
Clean, consistent, and contextual data—structured for analytics and future AI workloads.
Cloud‑native scale:
Elastic, secure architecture built to handle spikes and enterprise complexity at any scale.
How It Works (emite Suite)
emite Advanced iPaaS
- Unified pipelines for REST, S3, webhooks, files, DBs, and event streams (Kafka, Kinesis, EventBridge).
- Low‑code mapping, transformation, validation, and routing.
- Orchestration, retries, throttling, and error handling.
emite Advanced Analytics
- Cross‑source KPI engine and semantic layer for consistent metrics.
- Data normalisation, deduplication, and master data alignment across systems/instances.
- Governance: lineage, versioning, and role‑based access.
emite Advanced Visualisation
- Real‑time dashboards and reports embedded into CRMs, portals, and internal tools.
- Role‑based views and scheduled alerts to inbox, Teams/Slack, or webhook targets.
Simply, What You Get
Reduced integration backlog
and faster project velocity
emiteSingle data language
across multiple systems and regions.
emiteFaster time to insight
with governed, reusable KPIs.
emiteLower integration & analytics TCO
by eliminating bespoke builds and rework.
emiteImproved compliance & data trust
via validation and lineage.
emiteCore Capabilities
emite enables you to:
Connect to any data source
Connect S3 and REST APIs, webhooks, message buses, files, and databases. Stream or batch with retry, back‑pressure, and scaling built in.
Ingest any file or storage format
CSV, JSON, XML, Parquet, Excel, S3 buckets, FTP/SFTP.
Integrate with enterprise applications
Snowflake, BigQuery, Redshift, Databricks and AWS Aurora.
Hybrid and multi-cloud ready
Faster time to value as we are 100% built on AWS cloud native platform
Data product readiness
Publish standardized, governed datasets for reuse by other systems, APIs, or analytics platforms.
Solution Architecture (At a Glance)
Featured Use Cases
Grid & Asset Data Interoperability (Utilities)
Problem: Asset, outage, and sensor data is siloed across SCADA, EAM, and data lakes.
Outcome: Unified asset health and outage response metrics with near real time visualisation.
emite Components:
• Advanced iPaaS: Stream ingestion from telemetry + enterprise apps.
• Advanced Analytics: Cross source asset health scorecard; risk based maintenance KPIs.
• Advanced Visualisation: Control room views; mobile friendly field dashboards.
KPIs: SAIDI/SAIFI, mean time to repair (MTTR), work order backlog, asset risk index.
Financial Services: Risk & Compliance Data Fabric
Problem: Risk, AML, and compliance data spans core banking, CRM, and monitoring tools.
Outcome: Single, governed risk data layer with auditable metrics.
emite Components:
- Advanced iPaaS: Secure ingestion and tokenisation; policy‑driven routing.
- Advanced Analytics: Versioned definitions for risk indicators; lineage for audit.
- Advanced Visualisation: Compliance dashboards scheduled attestations and exception alerts.
KPIs: SAR volume, KYC completion rate, alert‑to‑case conversion, time‑to‑close.
Implementation blueprint
Ready to make your stack interoperable?
Book Your Demo Today and turn your data into decisions that drive measurable results.
FAQ
What do you mean by interoperability?
Our iPaaS moves data across APIs, events, files, and databases through configuration, not pre-built connectors, so you’re never locked into rigid integrations.
Which interfaces do you support?
REST, webhooks, S3 and file drops, JDBC, and event streams such as Kinesis, Kafka, and EventBridge.
Can you integrate older or custom systems?
Yes. As long as a system can expose data through an API, file, or event stream, we can configure it into the platform.
Do you support real-time and batch?
Yes. Stream for low latency or batch for bulk transfer, both under the same governance and monitoring.
How do you handle rate limits and backpressure?
Built-in retry, queuing, and adaptive throttling protect upstream and downstream systems.
How is identity managed across systems?
We integrate with identity providers such as Azure AD, Okta, and Amazon Cognito.
How is data secured in motion?
TLS everywhere, field-level masking, PII redaction, and role-based access on every endpoint.
How do you monitor integrations?
Central dashboards show lineage, throughput, errors, and SLAs, with drill-downs to specific records.
What is the path to production?
Versioned pipelines are promoted from dev to prod with approvals and rollbacks.
Do you meet industry compliance needs?
Yes. We support data residency, audit trails, and governance required for FSI, Utilities, and Government workloads.
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