Search Results for "wdc-wd1600-driver"
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Showing 98 open source projects for "wdc-wd1600-driver"
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Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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Manage your enterprise’s compensation lifecycle and accurately recognize top performers with a digitized, integrated system. Keep employees invested and your HR team in control while preventing compensation chaos.
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SQLite JDBC Driver
SQLite JDBC Driver
SQLite JDBC is a library for accessing and creating SQLite database files in Java. Our SQLiteJDBC library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your classpath. SQLite JDBC is a library for accessing SQLite databases through the JDBC API. SQLite supports on-memory database... -
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PostgreSQL JDBC Driver
Postgresql JDBC Driver
An Open source JDBC driver written in Pure Java (Type 4), which communicates using the PostgreSQL native network protocol. The PostgreSQL JDBC Driver allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC is an open source JDBC driver written in Pure Java (Type 4), and communicates in the PostgreSQL native network protocol. Because of this, the driver is platform-independent; once compiled, the driver can be used on any system. pgJDBC... -
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Flyway
Database migrations made easy
... XML formats, no lock-in. Java-based migrations for advanced data transformations and handling with LOBs. All you need is Java 7+ and your Jdbc driver and you're good to go! Full support for Amazon RDS, Microsoft SQL Azure, Google Cloud SQL, Heroku, and more. Filesystem and classpath scanning to automatically discover SQL and Java migrations. Ship migrations together with the application and run them automatically on startup using the API. -
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H2 Database
H2 is an embeddable RDBMS written in Java
Welcome to H2, the Java SQL database. Very fast, open source, JDBC API. Embedded and server modes; in-memory databases. Browser-based Console application. Small footprint: around 2.5 MB jar file size. Browser-based Console application. Encrypted databases. Fulltext search. Pure Java with small footprint: around 2.5 MB jar file size. ODBC driver. This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers... -
We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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SchemaCrawler
Free database schema discovery and comprehension tool
... database. You can find potential schema design issues with lint. SchemaCrawler supports almost any database that has a JDBC driver, but for convenience is bundled with drivers for some commonly used RDBMS systems. SchemaCrawler works with any operating system that supports Java SE 8 or better. SchemaCrawler is also a Java API that makes working with database metadata as easy as working with plain old Java objects. -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction... -
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Apache Phoenix
Mirror of Apache Phoenix
Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully... -
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jdbi
jdbi is designed to provide convenient tabular data access in Java
Jdbi provides convenient, idiomatic access to relational data in Java. Jdbi 3 is the third major release which introduces enhanced support for Java 8, countless refinements to the design and implementation, and enhanced support for modular plugins. Jdbi is built on top of JDBC. If your database has a JDBC driver, you can use Jdbi with it. Jdbi improves JDBC’s rough interface, providing a more natural Java database interface that is easy to bind to your domain data types. Unlike an ORM, we do... -
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A read-only JDBC driver for Java that uses Comma Separated Value (CSV) files as database tables. Ideal for writing data import programs and conversion programs.
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Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
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HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2016. A small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multiversion concurrency and ACID.
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HHDB SQL Admin
HHDB SQL Admin is a graphical PostgreSQL client written in Java.
1. Developed by pure java 2. Customrized for PostgreSQL 3. Support multi-language 4. Use pg JDBC driver for connection 5. Use swing components for GUI 6. Test with Jdk1.7 and 1.8 on windows and CentOS 6,7 -
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UCanAccess
A pure Java JDBC driver for Microsoft Access database files
UCanAccess is a pure Java JDBC Driver implementation which allows Java developers and JDBC client programs to read/write Microsoft Access database (.mdb and .accdb) files. No ODBC needed. -
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SQLeo Visual Query Builder
Helping users to quickly understand SQL queries
SQLeo is a professional lightweight SQL Query tool that permits to create or display complex sql queries (from OBIEE, Microstrategy, SSRS, Cognos, Hyperion, Pentaho ...) and permits to reverse engineer database models as db designers do. This SQL GUI supports all JDBC drivers: Oracle, MySQL, MSSQL, Firebird, HSQLDB, H2, PostgreSQL, CsvJdbc, SQLite, UCanAccess, MonetDB ... (but MySQL jdbc and CsvJdbc are the only driver included in the package) Can be compared with : FreeQueryBuilder... -
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jdbc2csv.jar
Command-line sql JDBC tool
jdbc2csv is a small command-line tool written in JAVA and can be used on all platforms, for which JRE 8 or higher is available. To connect to a specific DBMS the tool uses its JDBC driver. The result of the executed 'select' query is displayed in CSV format ( different standards are supported ). When there is an error the tool stops with exit code 1 and the error message is output on stderr. jdbc2csv is created with a main purpose to be used in shell-scripts. Relatively easy to configurate... -
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jdbsee
A command line tool for database operations over JDBC
Jdbsee CLI supports running SQL queries from command line in batch or interactive mode. Database connection settings and related credentials can be persisted for later reuse. The JDBC drivers can be automatically downloaded from maven central repo or loaded from local jars. For more info see https://github.com/davidecavestro/jdbsee/blob/master/docs/index.adoc. -
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Open source JDBC 3.0 type 4 driver for Microsoft SQL Server (6.5 up to 2012) and Sybase ASE. jTDS is a complete implementation of the JDBC 3.0 spec and the fastest JDBC driver for MS SQL Server. For more information see http://jtds.sourceforge.net/
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SQLExecutor: A Simple JDBC framework
Tiny and easy to use JDBC framework, simplifies usage of JDBC driver
A simple JDBC framework (JAR) by Jeff Smith. Employs database independent, unchecked exception code. Supports Oracle, mySQL, HSQL, and PostgreSQL--can be easily extended to new databases. See article (originally published on Developer.com ) here: http://softtechdesign.com/products/SQLExecutor/SQLExecutor.htm -
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jdbc4sapnw
JDBC driver for accessing SAP NetWeaver based systems
jdbc4sapnw is a read-only jdbc driver for SAP NetWeaver ABAP stack systems. The driver uses the SAP Java Connector 3 (sapjco3) middleware to call the SAP system. There are no extensions required at the SAP systems by default. Only available remote functions will be used to extract data from sap (RFC technology). A valid SAP user is required for logon. The major goal for this project is to provide SAP data to other java based tools in a direct way (e.g. DB Visualizer, KNIME... -
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Open-source Java utility to generate your own standard set of benchmarks profiling database/JDBC-driver performance.
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jql - commandline jdbc sql tool
Commandline jdbc sql tool
This a an yet another extremely simple commandline JDBC query tool. This tool does not support / require anything else beside JDBC4 driver libraries and java. It tries to know something about underlying DB metadata - currently tested against hsql and PostgreSql. You may run this tool with simple file redirection. -
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Simple java based command line SQL editor. Will connect to any database that you can provide a JDBC Type 4 driver for (in the form of a jar).
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WS-JDBC is a client/server JDBC Driver, where the server part is implemented as Web services. This means the custom client JDBC Driver can call the service remotely, from anywhere on the Internet.
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VJDBC (Virtual JDBC) is a JDBC type 3 driver which provides efficient tunneling of JDBC commands/results over different communication protocols (RMI, HTTP, HTTPS ...).
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Mongo JDBC Driver
A minimal JDBC driver implementation for MongoDB
This project builds upon the MongoDB Java driver to provide a limited JDBC implementation to allow graphical tools such as SQuirreL SQL Client to visualize and manipulate MongoDB collections and documents. It will accept an SQL-like syntax for CRUD operations, where "tables" represent MongoDB collections, and rows are individual documents within a collection. Each row has two columns (ObjectId and Document).