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Showing 5 open source projects for "java time"
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate security and supports SQL amongst the query languages. ... -
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Allowing the access to different database engines at the same time. Formatting code, see structure of the DDBB, export/import data between different managers DDBB (mysql-oracle-mssql...), graphs, create source code in several languages(ASP, PHP ...).
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StackCollect
A server and database monitoring platform.
The StackCollect SCM is written in Python and is free to download, more advanced features can be purchased from StackCollect. Monitored Server Platforms Include: Windows Server 2012 R2 Monitored Database Platforms Include: PostgreSQL Microsoft SQL Server MariaDb MySQL -
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Object-oriented simulation-ready database simultaneously supports Java and C# APIs. Fully-transactional. Uses time-stamps and user ID to track all changes. Supports objects with properties whose values change in time under complex patterns.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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HBase - Hannibal
Monitor and maintain HBase configured for manual splitting
Hannibal is a tool to help monitor and maintain HBase-Clusters that are configured for manual splitting. While HBase provides metrics to monitor overall cluster health via JMX or Ganglia, it lacks the ability to monitor single regions in an easy way. This information is essential when your cluster is configured for manual splits, especially when the data growth is not uniform. This tool tries to fill that gap by answering the following questions: How well are regions balanced over...
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