Search Results for "using class net.sourceforge.jtds.jdbc.driver"
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Showing 5 open source projects for "using class net.sourceforge.jtds.jdbc.driver"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
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ForeIndex
Distributed Index with Apache Hadoop, Apache Lucene and Apache Tika
This is a distributed index framework using Apache Hadoop, Apache Lucene and Apache Tika, to index large volume of data. -
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MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche
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Need extra computing power? Use other people's computers! Rent out your computer when you are not using it! Aspen provides secure, fault-tolerant, platform-independent micropayment-based distributed computing.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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JLinker is a simple open-source Java tool that clusters preliminary clustered items (e.g., clusters of two items) into the maximal clusters using single-linkage clustering.
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