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  • Overview
    • What is DeltaStream?
    • Core Concepts
      • Access Control
      • Compute Pools
      • Data Store
      • Database
      • Function
      • Query
      • SQL
      • Visualizing Data Lineage
  • Getting Started
    • Free Trial Quick Start
    • Starting with the Web App
    • Starting with the CLI
  • How do I...?
    • Create and Manage Data Stores
      • Create Data Stores for Streaming Data
      • Explore Data Store and Topic Details
      • Use Multiple Data Stores in Queries
    • Manage Users and User Roles
      • Inviting Users to an Organization
      • Administering Users in your Organization
      • Using the CLI to Manage User Roles
      • Example: Setting Up Custom Roles for Production and Stage
    • Create DeltaStream Objects to Structure Raw Data
    • Use Namespacing for Organizing Data
    • Create and Query Materialized Views
    • Create a Compute Pool to Work with Iceberg
    • Create a Function
    • Secure my Connection to a Data Store
      • Introducing DeltaStream Private Links
      • Creating an AWS Private Link from DeltaStream to your Confluent Kafka Dedicated Cluster
      • Enabling Private Link Connectivity to Confluent Enterprise Cluster and Schema Registry
      • Creating a Private Link from DeltaStream to Amazon MSK
      • Creating a Private Link for RDS Databases
      • Deleting a Private Link
    • Serialize my Data
      • Working with ProtoBuf Serialized Data and DeltaStream Descriptors
      • Working with Avro Serialized Data and Schema Registries
      • Configuring Deserialization Error Handling
  • Integrations
    • Setting up Data Store Integrations
      • AWS S3
      • ClickHouse
      • Confluent Cloud
      • Databricks
      • Iceberg REST Catalog
      • PostgreSQL
      • Snowflake
      • WarpStream
  • Setting up Enterprise Security Integrations
    • Okta SAML Integration
    • Okta SCIM Integration
  • use cases
    • Using an AWS S3 Store as a Source to Feed an MSK Topic
  • Reference
    • Metrics
      • Prometheus Integration
      • Built-In Metrics
      • Custom Metrics in Functions
    • SQL Syntax
      • Data Formats (Serialization)
        • Serializing with JSON
        • Serializing with Primitive Data Types
        • Serializing with Protobuf
      • Data Types
      • Identifiers and Keywords
      • Command
        • ACCEPT INVITATION
        • CAN I
        • COPY DESCRIPTOR_SOURCE
        • COPY FUNCTION_SOURCE
        • DESCRIBE ENTITY
        • DESCRIBE QUERY
        • DESCRIBE QUERY METRICS
        • DESCRIBE QUERY EVENTS
        • DESCRIBE QUERY STATE
        • DESCRIBE RELATION
        • DESCRIBE RELATION COLUMNS
        • DESCRIBE ROLE
        • DESCRIBE SECURITY INTEGRATION
        • DESCRIBE <statement>
        • DESCRIBE STORE
        • DESCRIBE USER
        • GENERATE COLUMNS
        • GENERATE TEMPLATE
        • GRANT OWNERSHIP
        • GRANT PRIVILEGES
        • GRANT ROLE
        • INVITE USER
        • LIST API_TOKENS
        • LIST COMPUTE_POOLS
        • LIST DATABASES
        • LIST DESCRIPTORS
        • LIST DESCRIPTOR_SOURCES
        • LIST ENTITIES
        • LIST FUNCTIONS
        • LIST FUNCTION_SOURCES
        • LIST INVITATIONS
        • LIST METRICS INTEGRATIONS
        • LIST ORGANIZATIONS
        • LIST QUERIES
        • LIST RELATIONS
        • LIST ROLES
        • LIST SCHEMAS
        • LIST SCHEMA_REGISTRIES
        • LIST SECRETS
        • LIST SECURITY INTEGRATIONS
        • LIST STORES
        • LIST USERS
        • PRINT ENTITY
        • REJECT INVITATION
        • REVOKE INVITATION
        • REVOKE PRIVILEGES
        • REVOKE ROLE
        • SET DEFAULT
        • USE
        • START COMPUTE_POOL
        • STOP COMPUTE_POOL
      • DDL
        • ALTER API_TOKEN
        • ALTER SECURITY INTEGRATION
        • CREATE API_TOKEN
        • CREATE CHANGELOG
        • CREATE COMPUTE_POOL
        • CREATE DATABASE
        • CREATE DESCRIPTOR_SOURCE
        • CREATE ENTITY
        • CREATE FUNCTION_SOURCE
        • CREATE FUNCTION
        • CREATE INDEX
        • CREATE METRICS INTEGRATION
        • CREATE ORGANIZATION
        • CREATE ROLE
        • CREATE SCHEMA_REGISTRY
        • CREATE SCHEMA
        • CREATE SECRET
        • CREATE SECURITY INTEGRATION
        • CREATE STORE
        • CREATE STREAM
        • CREATE TABLE
        • DROP API_TOKEN
        • DROP CHANGELOG
        • DROP COMPUTE_POOL
        • DROP DATABASE
        • DROP DESCRIPTOR_SOURCE
        • DROP ENTITY
        • DROP FUNCTION_SOURCE
        • DROP FUNCTION
        • DROP METRICS INTEGRATION
        • DROP RELATION
        • DROP ROLE
        • DROP SCHEMA
        • DROP SCHEMA_REGISTRY
        • DROP SECRET
        • DROP SECURITY INTEGRATION
        • DROP STORE
        • DROP STREAM
        • DROP USER
        • START/STOP COMPUTE_POOL
        • UPDATE COMPUTE_POOL
        • UPDATE ENTITY
        • UPDATE SCHEMA_REGISTRY
        • UPDATE SECRET
        • UPDATE STORE
      • Query
        • APPLICATION
        • Change Data Capture (CDC)
        • CREATE CHANGELOG AS SELECT
        • CREATE STREAM AS SELECT
        • CREATE TABLE AS SELECT
        • Function
          • Built-in Functions
          • Row Metadata Functions
        • INSERT INTO
        • Materialized View
          • CREATE MATERIALIZED VIEW AS
          • SELECT (FROM MATERIALIZED VIEW)
        • Query Name and Version
        • Resume Query
        • RESTART QUERY
        • SELECT
          • FROM
          • JOIN
          • MATCH_RECOGNIZE
          • WITH (Common Table Expression)
        • TERMINATE QUERY
      • Sandbox
        • START SANDBOX
        • DESCRIBE SANDBOX
        • STOP SANDBOX
      • Row Key Definition
    • DeltaStream OpenAPI
      • Deltastream
      • Models
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  1. Overview

Core Concepts

Understand the basic concepts and technologies that underpin DeltaStream

PreviousWhat is DeltaStream?NextAccess Control

Last updated 28 days ago

DeltaStream is a unified analytics platform that combines batch and stream processing and real-time analytics in one platform. Write queries in SQL, and DeltaStream routes them to the optimal execution engine – for example, Flink for streaming, Spark for batch, and ClickHouse for materialized views.

You can also use DeltaStream’s SQL-based interface to build stream processing applications such as streaming pipelines, materialized views, microservices, and more.

Note DeltaStream sits on top of your streaming data stores, meaning that you should already have one or more streaming stores such as Apache Kafka or AWS Kinesis.

This section provides more details on the core concepts in DeltaStream. Below is a brief walk-through of the most important constructs with which to familiarize yourself.