Connect your sources
Use the broad PostgreSQL FDW ecosystem to work with relational databases, NoSQL, Big Data, files, cloud services, and APIs as tables.
10+ years in real-world operation
Data Warehouse and Data Lake on PostgreSQL. Without the extra layers.
Synthebase unifies ingestion, SQL transformation, orchestration, monitoring, and enterprise DWH conventions in one platform built to use PostgreSQL to its full potential.
insert into dwh.sales_daily select business_date, sum(amount) revenue from oracle_erp.sales where updated_at >= :watermark group by business_date;
Sourceoracle_erp.salesforeign table
ETL runtimecore.handlercompleted
Resultdwh.sales_daily1,284,921 rows
10+ yearsof Engine operation
Multiple organizationsreal DWH workloads
PostgreSQL-nativeETL inside the database
FDW ecosystembroad source connectivity
The complete data platform
From source to data mart in one understandable system.
Stop assembling the warehouse from a separate orchestrator, metadata service, transformation language, and a collection of custom scripts. Synthebase creates one technology layer around PostgreSQL.
Transform with SQL
Write understandable ETL/ELT logic without a separate DSL. SQL remains the common language from the first load to an enterprise DWH model.
Run and recover
Schedules, dependencies, parallel execution, retries, recovery, history, and metrics live in one PostgreSQL-native runtime.
Standardize the warehouse
Naming, modeling, evolution, and operational conventions turn a collection of SQL queries into a managed data platform.
Foreign Data Wrapper
Connect data from virtually anywhere.
FDW turns external systems into PostgreSQL foreign tables. Synthebase uses this powerful ecosystem as a universal access layer: the source looks like a table, and the rest is familiar SQL. REST APIs are called through PL/pgSQL procedures and enter the same ETL runtime—with scheduling, retries, history, and monitoring.
Databases and cloud warehouses
PostgreSQL
Oracle
MySQL
SQL Server
IBM Db2
SQLite
MongoDB
Redis
Elasticsearch
BigQuery
Big Data, streams, and external APIs
Hadoop
Apache Hive
Parquet
Apache Kafka
REST / OpenAPI
JSON
Analytics and team operations
Apache Superset
Slack
Git
CLI
PostgreSQL-native ETL Engine
ETL does not sit next to PostgreSQL. It runs inside PostgreSQL.
Pipeline definition, planning, queueing, handlers, dependencies, retries, recovery, and history are database-native objects. Fewer moving parts, less custom code, and more transparency and control.
01 · DefineSQL pipelinelogic + schedule
02 · Planplannermaterialized work
03 · Executehandlersparallel workers
04 · Recoverrecoveryretries + reviver
05 · Observehistorystatus + metrics
From ingestion to action
One operating model for engineers, analysts, and business users.
Data arrives from databases, files, streams, and REST APIs, moves through PostgreSQL-native ETL and governed DWH layers, and becomes immediately available in Apache Superset. Superset works with the same database while its monitoring and automation join one operating loop.
01 · Sources
Databases, files, and REST APIs
FDWs, foreign tables, and PL/pgSQL calls to external APIs.
02 · Platform
ETL + DWH + Data Lake
SQL transformations, schedules, retries, history, and quality control.
03 · Analytics
Apache Superset
Data marts, dashboards, SQL Lab, and one self-service analytics layer.
04 · Operations
Keep the team informed
Monitoring, automation, and operational alerts delivered to Slack.
Self-service without another data copy.Superset dashboards, SQL Lab, and governed datasets query ready DWH marts directly; Slack keeps the team informed about pipeline delays and failures.
Synthebase editions
One platform. Any scale. The right level of responsibility.
Operate Synthebase yourself, add our support, move to distributed Enterprise architecture, or delegate operations to Cloud. Your SQL pipelines and DWH conventions remain consistent.
Core
PostgreSQL-native ETL/ELT for focused jobs, small warehouses, and a fast first deployment.
Platform
The complete toolkit for a data team: CLI, connectors, DWH conventions, monitoring, and repeatable delivery.
Enterprise
Distributed execution, governance, certified deployment, and accountable support for critical data estates.
Cloud
A dedicated Synthebase data platform operated for teams that want to focus on data, not infrastructure.
Architecture without lock-in
Keep data where your business needs it.
On-premise, private cloud, BYOC, or fully managed. Synthebase delivers a modern Data Warehouse platform while preserving PostgreSQL, SQL, and architectural control.
Analytics & AI ready
Turn scattered sources into ready-to-use datasets.
Build reproducible data marts for BI, analytics, feature tables, enterprise search, and AI systems. Synthebase handles the full data path: connection, cleaning, combination, control, and refresh.
Build your own data platform on PostgreSQL.
With a proven ETL Engine and an architecture shaped by real operations.