Seamless integrations for your enterprise data workflows

Our products offer performant, native integrations with structured, semi-structured, and unstructured data sources, from relational databases to cloud-based data warehouses to files and NoSQL data stores.
Find your data source
Data lake
SaaS applications
Flat files
NoSQL databases
Data warehouses
Relational databases
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NoSQL databases

Amazon DocumentDB

The fully managed native JSON document database. Tonic Structural supports DocumentDB data via our MongoDB data connector.
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NoSQL databases

Amazon DynamoDB

Amazon's serverless, NoSQL database service for developing modern applications at scale. Tonic Structural supports DynamoDB data that is hosted on a local instance or on a cloud instance.
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Flat files
Data lake

Amazon EMR

Amazon Elastic MapReduce (EMR) is Amazon's managed Spark Cluster. Tonic Structural uses EMR to support the processing of flat files in S3.
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Data warehouses

Amazon Redshift

Amazon's cloud-based data warehouse service.
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Data warehouses
Data lake
Flat files

Databricks

The cloud-based data lakehouse for big data processing. Tonic Structural supports Spark jobs run on Databricks on AWS and Azure Databricks.
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Flat files

Files on Amazon S3

Tonic supports .csv, .tsv, .json, .xml, Parquet, and Avro files, as well as .txt, .gzip, and many unstructured file types (PDF, .docx, images, etc.), from Amazon S3.
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Flat files

Files on Google Cloud Storage

Tonic supports .csv, .tsv, .json, .xml, Parquet, and Avro files, as well as .txt, .gzip, and many unstructured file types (PDF, .docx, images, etc.), from Google Cloud Storage (GCS).
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Flat files

Files on MinIO

Tonic supports .csv, .tsv, .json, .xml, Parquet, and Avro files, as well as .txt, .gzip, and many unstructured file types (PDF, .docx, images, etc.), from Amazon S3.
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Data warehouses

Google BigQuery

Google's cloud-based enterprise data warehouse.
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Relational databases

IBM Db2

The data management platform from IBM. Tonic Structural supports IBM Db2 for Linux, Unix, and Windows (Db2 for LUW).
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Flat files

Local files

Tonic supports .csv, .tsv, .json, .xml, Parquet, and Avro files, as well as .txt, .gzip, and many unstructured file types (PDF, .docx, images, etc.), from local file systems.
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NoSQL databases

MongoDB

The leading open source NoSQL database. Tonic Structural supports MongoDB data that is either hosted on Atlas or is self-hosted.
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Relational databases

MySQL

The classic open-source relational database management system. Via this integration, Tonic Structural also supports MariaDB.
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Relational databases
Data warehouses

Oracle

The classic relational database management system, often used for data warehousing. Tonic Structural supports Oracles versions 12c and above.
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Relational databases

PostgreSQL

The classic open-source relational database management system. Tonic supports PostgreSQL 10 through PostgreSQL 16.
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Relational databases

SQL Server

The relational database management system developed by Microsoft. You can also use Tonic Structural's SQL Server data connector to connect to an Azure SQL database.
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SaaS applications

Salesforce

The cloud-based customer relationship management (CRM) application, supported by Tonic Structural.
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Data warehouses

Snowflake

The cloud-based data warehouse for data storage, analytics, and app development. Tonic supports Snowflake on both AWS and Azure.
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Flat files
Data lake

Spark SDK

In addition to its native integration with Databricks and Amazon EMR, Tonic Structural also supports Spark through an SDK.
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Relational databases

YugabyteDB

The PostgreSQL-compatible distributed database for cloud applications.
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