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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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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