Addressing Java Integration Barriers
Working with Parquet data introduces challenges such as:
Java Database Connectivity Solutions
The JDBC Driver Pack presents Parquet data as structured tables, enabling Java
applications to work with columnar datasets through familiar JDBC patterns.
Tabular Access to Parquet Data
Parquet records, fields, and columnar structures are exposed as structured tables.
SQL-Style Queries via JDBC API
Java programs can use JDBC queries to retrieve Parquet data without manual file parsing.
Dynamic Schema Discovery
Expose Parquet fields, schemas, and data types through JDBC metadata.
Optimized Data Handling
Built-in processing and request handling support stable access to large Parquet datasets.
Benefits for Your Business
Centralized Data Access
Integrate Parquet datasets into Java applications, analytics platforms, or reporting systems.
Simplified Java Integration
Enable Java programs to access Parquet data through standard JDBC interfaces, reducing custom development effort.
Streamlined JDBC Features for Java Developers
Quick Setup
Easily configure JDBC URLs for Java applications with minimal effort through a straightforward setup process.
SQL Query Support
Execute SQL statements such as SELECT, INSERT, UPDATE, DELETE, and UPSERT using the JDBC API.
Advanced Query Capabilities
Leverage metadata discovery, prepared statements, and optimized execution for Java database connectivity.
Performance Optimization
Adjust caching and query timeouts while utilizing connection pooling in Java programs for better efficiency.
Secure Access Management
Utilize OAuth and API keys for secure JDBC access from Java applications without complex configuration logic.
Compatible with Leading JDBC Tools
Work with DbVisualizer, DBeaver, SQuirreL SQL, and other JDBC tools commonly used by Java developers.
JDBC API Access in Java Applications
Access and manage your Parquet data
with KingswaySoft's JDBC Driver Pack.
The JDBC Driver Pack provides structured access to Parquet data through the JDBC API, allowing Java applications to retrieve records, fields, and schema information through standard JDBC interfaces.
Developer APIs JDBC Drivers
Our JDBC Driver Pack includes a diverse selection of
drivers for seamless connectivity across business applications.
Auth0
Avro
Azure DevOps
Azure Maps
Azure Table
Premium CSV
Duo Security
Elasticsearch
GitHub
GitLab
Google Cloud Monitoring
Google Cloud Trace
Google Knowledge Catalog
GraphQL
Okta
OneLogin
OpenAI
OpenSearch
Parquet
Premium OData
Splunk
FAQ – Parquet JDBC Driver
The KingswaySoft JDBC Driver for Parquet allows Java applications and compatible JDBC tools to access Parquet files through a standard JDBC interface. This helps users work with Parquet datasets using familiar SQL operations.
The driver supports Folder (Dataset) mode and File mode. In Folder mode, each immediate subdirectory is treated as a table and can include multiple Parquet files. In File mode, each immediate Parquet file is treated as a table using the file name.
The driver supports standard SQL operations including SELECT, INSERT, UPDATE, and DELETE. In Folder mode, INSERT operations can write new part files, while UPDATE and DELETE operations rewrite only affected files. In File mode, the backing Parquet file is rewritten in place.
Yes. The driver supports JDBC metadata discovery through standard DatabaseMetaData methods such as getTables and getColumns. Primary key discovery returns an empty result set because Parquet does not have a native primary key concept.
Yes. In Parquet File mode, the driver supports USING OPTIONS for UPDATE and DELETE statements when multiple rows are matched. Users can choose actions such as All Matches, First Match, Last Match, Raise Error, or Ignore.
Get In Touch
If you would like to know more specific details about our solutions, or if you have any suggestions about our product offerings, we are always here to listen and help!
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