Apache Ignite Integrations

Han­dle more re­quests with fewer re­sources com­pared to tra­di­tional stacks and frame­works based on block­ing I/O. Vert.x is a great fit for all kinds of ex­e­cu­tion en­vi­ron­ments, in­clud­ing con­strained en­vi­ron­ments like vir­tual ma­chines and con­tain­ers. Peo­ple told you asyn­chro­nous pro­gram­ming is too hard for you? We strive to make pro­gram­ming with Vert.x an ap­proach­able ex­pe­ri­ence, with­out sac­ri­fy­ing cor­rect­ness and per­for­mance. Don’t waste re­sources, in­crease de­ploy­ment den­sity and save money. You pick the model that works best for the task at hand, call­backs, promises, fu­tures, re­ac­tive ex­ten­sions, and (Kotlin) corou­tines. Vert.x is a toolkit, not a frame­work, so it is nat­u­rally very com­pos­able and em­bed­d­a­ble. We have no strong opin­ion on what your ap­pli­ca­tion struc­ture should be like. Se­lect the mod­ules and clients you need and com­pose them as you craft your ap­pli­ca­tion.

The enterprise-grade platform built on Apache Ignite that provides in-memory speed and massive scalability for data-intensive applications and real-time data access across datastores and applications. Upgrade from Ignite to GridGain with no code changes and deploy your clusters securely at global scale with zero downtime. Perform rolling upgrades of your production clusters with no impact on application availability. Replicate across globally distributed data centers to load balance workloads and prevent downtime from regional outages. Secure your data at rest and in motion, and ensure compliance with security and privacy standards. Easily integrate with your organization's authentication and authorization system. Enable full data and user activity auditing. Create automated schedules for full and incremental backups. Restore your cluster to the last stable state with snapshots and point-in-time recovery.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. IPython interpreter provides comparable user experience like Jupyter Notebook. This release includes Note level dynamic form, note revision comparator and ability to run paragraph sequentially, instead of simultaneous paragraph execution in previous releases. Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use.

witboost is a modular, scalable, fast, efficient data management system for your company to truly become data driven, reduce time-to-market, it expenditures and overheads. witboost comprises a series of modules. These are building blocks that can work as standalone solutions to address and solve a single need or problem, or they can be combined to create the perfect data management ecosystem for your company. Each module improves a specific data engineering function and they can be combined to create the perfect solution to answer your specific needs, guaranteeing a blazingly fact and smooth implementation, thus dramatically reducing time-to-market, time-to-value and consequently the TCO of your data engineering infrastructure. Smart Cities need digital twins to predict needs and avoid unforeseen problems, gathering data from thousands of sources and managing ever more complex telematics.

sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers. It comes with a powerful detection engine, many niche features for the ultimate penetration tester and a broad range of switches lasting from database fingerprinting, over data fetching from the database, to accessing the underlying file system and executing commands on the operating system via out-of-band connections. Support to directly connect to the database without passing via a SQL injection, by providing DBMS credentials, IP address, port and database name. Automatic recognition of password hash formats and support for cracking them using a dictionary-based attack. Support to dump database tables entirely, a range of entries or specific columns as per user's choice. The user can also choose to dump only a range of characters from each column's entry.