JDBC

Amazon S3 JDBC Driver

Easily connect live Amazon S3 data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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The Amazon S3 JDBC Driver enables users to connect with live Amazon S3 data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Amazon S3 data including Buckets, Objects, and more!

Amazon S3

NOTE: To analyze data stored within S3 buckets, please refer to the CSV, JSON, XML, and Parquet JDBC Drivers. Alternatively, Amazon Athena can analyze data across multiple file-formats via AWS services.

Amazon S3 JDBC Connectivity Features

SQL access to Amazon S3 Buckets and Objects
Use SQL Stored Procedures to perform actions like uploading, downloading or copying objects
Connect to delimited files stored in S3 directly with the CSV & XML Drivers
Connect to live Amazon S3 data, for real-time data access with the Amazon S3 ODBC Driver
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Amazon S3 Connector.

Target Service, API

The driver connects to Amazon S3 object storage service. Provides SQL interface to buckets and objects.

Schema, Data Model

Models S3 buckets and objects as tables. Objects can be parsed as structured data for various file formats.

Key Objects

Buckets, Objects, Object Metadata, and Versions. Access to all S3 storage with appropriate permissions.

Operations

Read and write operations on S3 objects. SQL queries for listing and filtering. Supports multipart uploads.

Authentication

AWS authentication with Access Key/Secret Key or IAM roles. Supports S3 access policies and encryption.

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Amazon S3 JDBC Driver Download

JDBC access to Amazon S3

Full-featured and consistent SQL access to any supported data source through JDBC

Certified Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
Metadata Discovery

Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
Developer Friendly

Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
JDBC Remoting

Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.
Replication and Caching

Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

String, Date, Numeric SQL Functions

The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
Collaborative Query Processing

Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
Easily Customizable and Configurable

The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

See what you can do with Amazon S3 JDBC Driver

Data integration & ETL

Integrate Amazon S3 into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

and more

BI, reporting & data virtualization

Connect to Amazon S3 from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

and more

Custom Java applications

Use the Amazon S3 JDBC Driver to rapidly deliver Java-based applications that connect with Amazon S3. Universal SQL-based interactivity simplifies integration and speeds time to market.

and more

Connect to Amazon S3—empower every team

Management & data consumer team
- CData JDBC Drivers for Amazon S3 act as if they are a native connector for your ETL, BI, and data virtualization tools.
- Organizations can connect to new services to capture a full view of the business, or migrate to modern data technology while maintaining connections to existing systems.
- Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.
IT Team

Need to integrate your internal systems with Amazon S3? CData JDBC Drivers let you do it easily. Java-based applications can connect to Amazon S3 with SQL/JDBC—any ETL, EAI (Enterprise Application Integration), or ESB (Enterprise Service Bus) can connect to Amazon S3.
ISVs & cloud service vendors for embedded JDBC
- Embed CData JDBC Drivers for Amazon S3 in your product and differentiate with your connectivity.
- Standard SQL access. Stop researching different authentication, data models, and query methods.
- Use your resources to build your product—CData takes care of your connectivity.
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AI-assisted development with CData CLI

Build Amazon S3 integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Amazon S3 schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Amazon S3.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools

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FAQs

Frequently asked Amazon S3 JDBC driver questions

Learn more about Amazon S3 JDBC drivers for data and analytics integration

Can Amazon S3 be used with Java?

Yes, Amazon S3 can be used with Java . CData provides a JDBC type 4/5 driver for Amazon S3 that allows Java applications to connect to Amazon S3 using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Amazon S3 from Java, or any Java-based application that supports JDBC.
Does Amazon S3 support JDBC?
Not natively. However, CData offers a JDBC driver for Amazon S3 that allows you to connect to Amazon S3 data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:
- Accessing Amazon S3 from applications: Connect to Amazon S3 data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live Amazon S3 data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between Amazon S3 and other systems.
The Amazon S3 JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the Amazon S3 JDBC driver today to get started.
Is there a JDBC driver for Amazon S3?

Yes, the CData JDBC driver for Amazon S3 provides universal JDBC data connectivity for Amazon S3. The Amazon S3 JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Amazon S3 using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.
How do I connect to Amazon S3 via JDBC?

Connectivity to Amazon S3 via JDBC is easy. First, download and install the Amazon S3 JDBC driver.

Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Amazon S3 via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Amazon S3 JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download a JDBC driver for Amazon S3?

All of the CData JDBC drivers, including the Amazon S3 JDBC driver are available for download online. To get started, download a fully functional free trial of the Amazon S3 JDBC driver today.
How do I install the JDBC driver for Amazon S3?

To install the Amazon S3 driver, simply download one of the Amazon S3 JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Amazon S3 JDBC driver on your system.