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Brand: Materialize
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Materialized Views
Maintains continuously updated views of streaming and static data using incremental computation.
Streaming SQL Engine
Executes continuous SQL queries directly over event streams with ANSI-standard SQL syntax
Change Data Capture Input
Ingests CDC data from databases like PostgreSQL or MySQL for real-time processing.
Third Party Integration
Consumes event data directly from Kafka topics for use in real-time SQL queries and views.
Multi Way Joins
Performs relational joins across multiple streaming and static data sources simultaneously.
Delta Joins
Implements delta join algorithms for efficient state management in multi-relation streaming joins.
Window Functions
Provides support for SQL windowing operations over time-based or row-based streaming inputs.
Indexing
Builds persistent indices on query outputs to accelerate subsequent access and reduce recomputation.
Clustered Execution
Runs compute as distributed clusters where nodes handle partitions of streaming workloads.
Source Connectors
Offers built-in connectors for Kafka, S3, Postgres, and other systems to ingest raw data.
Sink Connectors
Exports query results into sinks like Kafka, Postgres, or cloud storage in real time.
Time-Varying Collections
Represents all data as time-varying collections with inserts, updates, and deletes.
PostgreSQL Protocol
Implements the PostgreSQL wire protocol for seamless connectivity with existing tools.
Brand Name | Materialize |
Information | Materialize is a real-time data integration platform for creating up-to-date, trustworthy views into any aspect of your business using just SQL. Build and adapt live, composable data products in minutes—with the team you already have. |
Founded Year | 2019 |
Director/Founders | Arjun Narayan, Frank McSherry |
Company Size | 101-500 Employees |