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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Decodable
Decodable

Decodable

Founded 2021

Build and execute real-time streaming data pipelines using SQL, Java, and Python

Pricing model

Free Tier, Paid

You can use Decodable to build, run, and scale real-time data pipelines without managing streaming infrastructure. Built on Apache Flink and Debezium, it lets you capture data changes from operational databases and transform event streams using standard SQL, Python, or Java. You can connect sources like PostgreSQL directly to destinations such as OpenSearch, Redis, or vector databases for AI search. It removes the complexity of cluster configuration and maintenance, helping you deliver fresh, low-latency data for live analytics, monitoring, and AI retrieval applications.

What Decodable does

Capture change events from operational databasesWrite SQL queries to filter and transform streaming dataSend real-time updates to vector stores for search indexingMonitor pipeline throughput and processing latencySync PostgreSQL tables directly to OpenSearch clustersScale streaming data pipelines without provisioning serversManaged serverless Apache Flink stream processingChange data capture driven by DebeziumStream transformation using standard SQL, Java, or PythonPre-built connectors for databases, search engines, and storageReal-time pipeline syncing into vector databases for AI applicationsCompliance certifications covering SOC 2, HIPAA, and GDPR

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
Free (per credit)Free
On Demand (per credit)$0.12 / mo

Frequently asked

PostgreSQLPostgreSQLOpenSearchOpenSearch

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Decodable, Apache Flink, Debezium, stream processing, real-time ETL, CDC, change data capture, data pipelines, SQL pipelines, real-time analytics, vector database streaming, data integration, serverless streaming, Redis, event streams