Amazon DynamoDB ODBC Driver

Read, Write, and Update Amazon DynamoDB through ODBC

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The Amazon DynamoDB ODBC Driver is a powerful tool that allows you to connect with live data from Amazon DynamoDB NoSQL database, directly from any applications that support ODBC connectivity. Access DynamoDB data like you would a database - read, write, and update NoSQL tables through a standard ODBC Driver interface.

Features

Perform value-sensitive queries that properly interface with the loose typing available in DynamoDB columns
Easily insert and update entire DynamoDB documents and lists
Compatible with the current version of the DynamoDB REST API, version 2012-08-10
Makes use of DynamoDB indexing for improved performance
Enables SQL-92 capabilities on Amazon DynamoDB NoSQL data.
Flexible NoSQL flattening - automatic schema generation, flexible querying etc.
Connect to live Amazon DynamoDB data, for real-time data access
Seamless integration with leading BI, reporting, and ETL tools and with custom applications
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.

Specifications

Supports 32-bit and 64-bit applications.
ODBC 3.8 compliant native protocol based drivers.
Comprehensive ANSI SQL-92 support.
Full Unicode Support - any language, any data.
Cross-platform ODBC. Available for Windows, Linux and macOS.

Windows

macOS

Unix

AVAILABLE IN:

ODBC DESKTOP SUBSCRIPTIONS

100+ ODBC Drivers For Real-Time BI & Reporting.

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Where can I use the Amazon DynamoDB ODBC Driver?

BI, ETL, & Reporting Tools
Custom Applications
Back-Office Integration

BI, ETL, & Reporting Tool Integration

ODBC is the most widely supported interface for connecting applications with data. All kinds of BI, Reporting, ETL, Database, and Analytics tools offer the ability to read and write data via ODBC connectivity.

Cognos BI
Crystal Reports
FileMaker Pro
FoxPro
Microsoft Access
Microsoft Excel
MicroStrategy
Oracle DB
Power Map
Power Pivot
QlikView
SAP Business Objects
Sharepoint Services
Tableau (certified)

... and many more!

Custom Applications

Build Apps That Connect To Amazon DynamoDB

As the most widely used interface to relational data, ODBC interfaces are accessible from every major development technology, including PHP, Python, Delphi, Visual Basic, Labview, PowerBuilder, FoxPro, FileMaker Pro, and more.

Developers can use Amazon DynamoDB ODBC Driver to rapidly build Web, Desktop, and Mobile applications that interact with live Amazon DynamoDB data!

Connect Office Tools with Amazon DynamoDB

Any application that can access data through ODBC, like Microsoft Excel, PowerPivot, or Word, can leverage our ODBC Drivers to connect to real-time data.

Through the Amazon DynamoDB ODBC Driver applications like Microsoft Word allow users to directly access live Amazon DynamoDB data with powerful capabilities like 'Mail Merge', eliminating the need for complicated import/export procedures.

Robust ODBC Access to Amazon DynamoDB

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

Standards-Compliant ODBC

ODBC 3.8 compliant native protocol based drivers.
Unicode, 32-bit and 64-bit support

Support 32-bit and 64-bit applications and unicode ODBC APIs.
Cross-platform ODBC (Windows/Linux/Mac)

Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.
Certified ODBC Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.
* Please visit our knowledge base to access how-to articles.
Embedded Remoting Capabilities

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

String, Date, Numeric SQL Functions

The driver includes a library of 50 plus 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 ODBC 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.
Enterprise-class Secure Connectivity

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

Remoting
Performance

Enterprise-Class Remoting

MySQL/SQL Database entry points for Amazon DynamoDB Data

The CData ODBC drivers include powerful fully-integrated remote access capabilities that makes Amazon DynamoDB data accessible from virtually anywhere. The drivers include the CData SQL Broker, which can the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.

With the CData SQL Broker, users can interact with Amazon DynamoDB data from any client that supports SQL Server or MySQL: from Web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench. Access Amazon DynamoDB data from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Amazon DynamoDB with this driver.

Connect Amazon DynamoDB data with popular BI tools like SQL Server Analysis Services.
Enable enterprise Amazon DynamoDB data integration through SQL Linked Server connectivity
Includes support for the MySQL and SQL (TDS) remote access protocols, with advanced wire-protocol SSL security - industry standards for remote database connectivity.
Easily connect to DynamoDB from code (PHP, Python, Ruby, Objective-C, etc.) using one of the standard client libraries for accessing SQL/MySQL.

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ODBC Driver Performance

With traditional approaches to remote access, performance bottlenecks can spell disaster for applications. Regardless if an application is created for internal use, a commercial project, web, or mobile application, slow performance can rapidly lead to project failure. Accessing data from any remote source has the potential to create these problems. Common issues include:

Network Connections - Slow network connections and latency issues are common in mobile applications.
Service Delays - Delays due to service interruptions, resulting in server hardware or software updates.
Large Data - Intentional or unintentional requests for large amounts of data.
Disconnects - Complete loss of network connectivity.

The CData ODBC Driver for Amazon DynamoDB solves these issues by supporting powerful smart caching technology that can greatly improve the performance and dramatically reduce application bottlenecks.

Smart Caching

Smart caching is a configurable option that works by storing queried data into a local database. Enabling smart caching creates a persistent local cache database that contains a replica of data retrieved from the remote source. The cache database is small, lightweight, blazing-fast, and it can be shared by multiple connections as persistent storage.

Caching with our ODBC Drivers is highly configurable, including options for:

Auto Cache - Maintain an automatic local cache of data on all requests. The provider will automatically load data into the cache database each time you execute a SELECT query. Each row returned by the query will be inserted or updated as necessary into the corresponding table in the cache database.
Explicit Cache - Cache only on demand. Developers decide exactly what data gets stored in the cache and when it is updated. Explicit caching provides full control over the cache contents by using explicit execution of CACHE statements.
No Cache - All requests access only live data and no local cache file is created.

This powerful caching functionality increases application performance and allows applications to disconnect and continue limited functioning without writing code for additional local storage and/or data serialization/deserialization.

More information about ODBC Driver caching and best caching practices is available in the included help files.