DataByte
Product

One integrated platform. Everything your data team needs.

Every module runs on the same Apache Spark + Kubernetes foundation. Same catalog, same RBAC, same operational surface, so switching modules isn't switching contexts.

DataByte product modules across the integrated platform stack
Architecture

From cloud infrastructure to BI. One stack.

Layered on a battle-tested compute foundation, Spark on Kubernetes, with auto-scaling, multi-cluster, and cloud-agnostic deployment.

Business Intelligence

DashboardsChart WidgetsScheduled ReportsSwagger-backed APIs

Intelligence

ML StudioForecasterAnomaly DetectorSherlock (RCA)ProcBot

Delivery

Data Insider (REST)AnalyticsExternal system delivery

Processing

Transformer (Visual Canvas)JupyterContainerised Spark pipelines

Ingestion

X→Y (batch/on-demand)CDC (log, query, trigger)Advance ETL · 2000+ connectors

Governance

Data CatalogDataOpsSMART frameworkPlatform Admin & RBAC

Sources

RelationalNoSQLCloud storageKafkaRESTSaaSFiles

↑ Apache Spark · Kubernetes auto-scaling · Multi-cluster · Cloud-agnostic (AWS · Azure · GCP · Private) ↑

The modules

Grouped by what they do for you.

Each module is fully production-grade on its own. They share a data model, a security model, and a catalog, so teams stop paying the integration tax between them.

Agentic AI layer

Agents across platform.

A growing library of agents ships with the platform, regardless of which modules you turn on. No separate contract, no separate model to manage.

Talk to Your Data

Plain-English queries over SQL, NoSQL, S3, Cassandra, and APIs.

ETL/ELT Designer

Describe the requirement, and the agent ships a deployment-ready pipeline.

Spark Summarizer

Turns verbose Spark logs into "what ran, failed, was slow, fix this."

ProcBot Designer

Describe a process, and the agent generates the working script in bash, Python, Terraform, or Ansible.

Sherlock

Autonomous agents help with not only problem discovery but throughout the process from problem detection to auto-remediation and closure.

DataOps AI

Ask about pipeline health and SLAs; answers come from live telemetry.

AI Governance & Intelligence

AI agents continuously enrich metadata, classify sensitive data, monitor compliance, and generate governance insights across enterprise data assets.

Data Exploration AI

Describe the requirements in natural language, and the agent generates the transformation code behind the scenes to produce the output.

Integrations

Connects to where your data already lives.

Two thousand plus connectors across six categories, delivered through the Advance ETL engine. Drag-and-drop by default; custom code when the source demands it.

Databases & warehouses

  • PostgreSQL
  • MySQL
  • Oracle
  • SQL Server
  • Snowflake
  • BigQuery
  • Redshift
  • MongoDB
  • Cassandra

Cloud storage

  • AWS S3
  • Azure Blob
  • GCS
  • Azure Data Lake
  • HDFS
  • MinIO

Streaming & messaging

  • Apache Kafka
  • AWS Kinesis
  • Azure Event Hubs
  • RabbitMQ
  • Webhooks
  • REST APIs

SaaS & applications

  • Salesforce
  • SAP
  • ServiceNow
  • Workday
  • HubSpot
  • Zendesk
  • Jira
  • + 280 more

BI & reporting

  • Power BI
  • Tableau
  • Looker
  • Excel
  • SFTP export
  • Email delivery

File formats

  • CSV / JSON / XML
  • Parquet
  • Avro
  • ORC
  • FTP / SFTP

See it running on your stack.

Thirty-minute walkthrough. Your data, your connectors, real pipelines. No slideware.