Alternatives to qikkDB

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

Sadas Engine is the fastest columnar database management system in cloud and on-premise. Sadas Engine is the solution that you are looking for. * Store * Manage * Analyze It takes a lot of data to find the right solution. * BI * DWH * Data Analytics The fastest columnar Database Management System can turn data into information. It is 100 times faster than transactional DBMSs, and can perform searches on large amounts of data for a period that lasts longer than 10 years.

Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.

Greenplum Database®, an open-source data warehouse, is a fully featured, advanced, and fully functional data warehouse. It offers powerful and fast analytics on petabyte-scale data volumes. Greenplum Database is uniquely designed for big data analytics. It is powered by the most advanced cost-based query optimizer in the world, delivering high analytical query performance with large data volumes. The Apache 2 license is used to release Greenplum Database®. We would like to thank all of our community contributors. We are also open to new contributions. We encourage all contributions to the Greenplum Database community, no matter how small. Open-source, massively parallel data platform for machine learning, analytics, and AI. Rapidly create and deploy models to support complex applications in cybersecurity, predictive management, risk management, fraud detection, among other areas. The fully integrated, open-source analytics platform is now available.

Apache HBase™, is used when you need random, real-time read/write access for your Big Data. This project aims to host very large tables, billions of rows and X million columns, on top of clusters of commodity hardware.

InfiniDB is a column-store DBMS that is optimized for OLAP workloads. It supports Massive Paralllel Processing (MPP) thanks to its distributed architecture. It uses MySQL as its front end so that MySQL-savvy users can migrate to InfiniDB quickly. Users can connect to InfiniDB with any MySQL connector. InfiniDB applies MVCC to do concurrency control. It uses the term System Change Number (SCN), to indicate a particular version of the system. It uses three structures in its Block Resolution Manager (BRM), version buffer, version substitution, and version buffer block manger, to manage multiple versions. InfiniDB applies deadlock detection to resolve conflicts. InfiniDB uses MySQL as its front end and supports all MySQL syntaxes including foreign keys. InfiniDB is a columnar DBMS. InfiniDB applies range partitioning to each column and stores the minimum and maximal values of each partition in a small structure called an extent map.

A cross-platform, high-performance historical time-series database featuring: - An in memory compute engine A real-time stream processor - A query and programming language that is expressive called q kdb+ is the engine behind kdb insights portfolio and KDB.AI. Together, they deliver time-oriented data insight and generative AI capabilities for the world's largest enterprise organizations. kdb+ is the fastest columnar analytics database in memory, according to independent benchmarking*. It delivers unmatched value for businesses that operate in the most challenging data environments. kdb+ helps businesses navigate rapidly changing data environments by improving decision-making processes.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

Parquet was created to provide the Hadoop ecosystem with the benefits of columnar, compressed data representation. Parquet was built with complex nested data structures and uses the Dremel paper's record shredding/assemblage algorithm. This approach is better than flattening nested namespaces. Parquet is designed to support efficient compression and encoding strategies. Multiple projects have shown the positive impact of the right compression and encoding scheme on data performance. Parquet allows for compression schemes to be specified per-column. It is future-proofed to allow for more encodings to be added as they are developed and implemented. Parquet was designed to be used by everyone. We don't want to play favorites in the Hadoop ecosystem.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

ClickHouse is an open-source OLAP database management software that is fast and easy to use. It is column-oriented, and can generate real-time analytical reports by using SQL queries. ClickHouse's performance is superior to comparable column-oriented database management software currently on the market. It processes hundreds of millions of rows to more than a million and tens if not thousands of gigabytes per second. ClickHouse makes use of all hardware available to process every query as quickly as possible. Peak processing speed for a single query is more than 2 Terabytes per Second (after decompression, only utilized columns). To reduce latency, reads in distributed setups are automatically balanced between healthy replicas. ClickHouse supports multimaster asynchronous replication, and can be deployed across multiple datacenters. Each node is equal, which prevents single points of failure.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. MonetDB returns queries in seconds, if not faster, when you are curious about your data and when you need to work efficiently. You can (re)use your code when you need specialised function: Use the hooks to add your user-defined functions to SQL, Python R, C/C++, or R. Join us to expand the MonetDB community that spans 130+ countries. We have students, teachers, researchers and small businesses. Join the most important Database in Analytical Jobs to surf the innovation! MonetDB's simple setup will quickly get your DBMS up to speed.

Your cloud data platform. Access to any data you need with unlimited scalability. All your data is available to you, with the near-infinite performance and concurrency required by your organization. You can seamlessly share and consume shared data across your organization to collaborate and solve your most difficult business problems. You can increase productivity and reduce time to value by collaborating with data professionals to quickly deliver integrated data solutions from any location in your organization. Our technology partners and system integrators can help you deploy Snowflake to your success, no matter if you are moving data into Snowflake.

Real-time analytics on raw data. Live ingest from S3, DynamoDB, DynamoDB and more. Raw data can be accessed as SQL tables. In minutes, you can create amazing data-driven apps and live dashboards. Rockset is a serverless analytics and search engine that powers real-time applications and live dashboards. You can directly work with raw data such as JSON, XML and CSV. Rockset can import data from real-time streams and data lakes, data warehouses, and databases. You can import real-time data without the need to build pipelines. Rockset syncs all new data as it arrives in your data sources, without the need to create a fixed schema. You can use familiar SQL, including filters, joins, and aggregations. Rockset automatically indexes every field in your data, making it lightning fast. Fast queries are used to power your apps, microservices and live dashboards. Scale without worrying too much about servers, shards or pagers.

Hypertable provides scalable database capacity at maximum speed to speed up big data applications and reduce your hardware footprint. Hypertable offers superior performance and efficiency over other competitors, which can translate into significant cost savings. It is a proven, scalable design that powers hundreds Google services. Open source brings all the benefits of open-source with a vibrant community. C++ implementation for optimal performance. Support for your business-critical big-data application is available 24/7/365 The employer of all core Hypertable developers provides unrivalled access to the Hypertable brain power. Hypertable was created to solve the scalability issue. This problem is not well handled by traditional RDBMSs. Hypertable is a Google-developed design that meets their scalability requirements. It solves the scale problem better then any other NoSQL solutions.

The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

Kudu clusters store tables that look exactly like the tables in relational (SQL), databases. A table can have a single binary key and value or a multitude of strongly-typed attributes. Every table has a primary key that is made up of one or more columns, just like SQL. This could be a single column, such as a unique user ID, or a compound key, such as a (host.metric.timestamp) tuple to a machine-time-series database. Rows can be easily read, updated, and deleted by their primary keys. Kudu's data model is simple and easy to use. It makes it easy to port legacy applications and build new ones. You can use standard tools such as Spark or SQL engines to analyze your tables. Tables are self-describing. Kudu's APIs were designed to be simple to use.

Azure Table storage can store petabytes semi-structured data at low costs and keeps costs down. Table storage is able to scale up, unlike many cloud-based or on-premise data stores. Also, availability is not a concern. With geo-redundant storage, data can be replicated three times within one region and three times in another region hundreds of miles away. Flexible data such as web app user data, address books, device data and other metadata can be stored in table storage. You can also use table storage to build cloud applications without having to lock down the data model to specific schemas. Different rows can have different structures in the same table, so you can easily change your application and table schema without having to take it offline. Table storage embraces a strong consistency model.

WebIssues, an open-source, multi-platform system that allows for team collaboration and issue tracking, is available as a free download. It can be used to store and share issues, as well as file attachments and comments. It is simple to install and use, but it has many capabilities and can be customized. It includes an integrated web client. It requires PHP 5.6 and a MySQL, PostgreSQL, or SQL Server database. The desktop client application can be used on Windows, Mac, and Linux. It requires version 2.0 WebIssues Server. For more information on installing and using WebIssues, please refer to the WebIssues guide. For support issues related to WebIssues please visit the Support forum. You can submit ideas and suggestions via the Feature requests forum. To submit bugs, use the Issues tracker at GitHub. Join the WebIssues Team to contribute to the project.

Pinot is designed to answer OLAP questions with low latency and immutable data. Pluggable indexing technologies: Sorted Index (Bitmap Index), Inverted Index. Trino and PrestoDB are both available for querying, but joins are not currently supported. SQL-like language that supports selection and aggregation, filtering as well as group by, order, and distinct queries on data. Both an offline and a real-time table are possible. Only use real-time table to cover segments where offline data is not yet available. Customize anomaly detection flow and notification flow to detect the right anomalies.

TorizonCore can be installed in just one click using the preinstalled Toradex Easy Installationer. You can get started quickly with the Graphical User Interface (GUI), Debian containers and APT Package Manager. You can quickly build reliable products with a wide range of tools, such as Flash Analytics. TorizonCore is open source and was built using the Yocto Project based upon the Toradex Embedded Linux BSP. This allows for further customization. Torizon integrates with Visual Studio 2019. This allows you to use familiar tools and a Windows development computer while also allowing you to take advantage of the rich Linux ecosystem. Toradex supports Windows Embedded Compact / WinCE. However, Visual Studio with Torizon for developers who want to migrate to Linux is an excellent choice.

Trade on the Stellar Decentralized Exchange. StellarTerm is an open-source client for the Stellar network. StellarTerm makes it easy to send, receive, and trade assets over the Stellar network. StellarTerm is a client that can access the Stellar Decentralized Exchange. StellarTerm and its developers are not involved in the operation of the Stellar network. Ultra Stellar, LLC, which also developed the LOBSTR wallet, developed StellarTerm. The project is not affiliated with the Stellar Development Foundation. The Apache-2.0 license covers the project and it is released as is. StellarTerm does not serve as a custodian for your assets. We do not store tokens, cryptoassets, or private keys on your behalf. The volatility and market risks associated with cryptocurrency assets can be high, so past performance does not necessarily predict future results.

CUDA®, a parallel computing model and platform developed by NVIDIA, is designed for general computing using graphical processing units. CUDA allows developers to accelerate computing applications using GPUs. In GPU-accelerated apps, the sequential workload is run on the CPU (which is optimized for single threaded performance), while the compute-intensive portion of the application is run on thousands of GPUs in parallel. CUDA allows developers to program in popular languages like C, C++ Fortran, Python, and MATLAB, and express parallelism using extensions. The CUDA toolkit from NVIDIA includes everything you need to create GPU-accelerated applications. The CUDA toolkit includes GPU-accelerated library, a compiler and development tools, as well as the CUDA Runtime.

Microsoft continues to invest in R development, not only in the Machine Learning Server release but also in the Microsoft R Client and Microsoft R Open. R and Python support can be found in SQL Server Machine Learning Services for Windows and Linux. R support is also available in Azure SQL Database. R components are compatible with previous versions. Existing R scripts should run on older versions of R, with the exception if they have dependencies on platforms or packages that are no longer supported or known issues that need to be fixed or code changed. Microsoft R Open is an enhanced distribution of R by Microsoft Corporation. Microsoft R Open 4.0.2 is the current release. It is based on R-4.0.2, and offers additional capabilities that improve performance, reproducibility, and platform support. Compatible with all packages, scripts, and applications that use R-4.0.2.

CUDA compatible GPUs (nVidia) can be found in ccminer, an open-source project. It is compatible with both Linux platforms and Windows platforms. This site is designed to share trusted cryptocurrency mining tools. We will compile and sign open-source binaries. These projects are mostly open-source, but may require technical skills to be correctly compiled.

The ActiveState Platform protects your software supply chain. The only software supply chain that automates, secures, and automates the importing, building, and consuming of open source. Available now for Python, Perl and Tcl. Our secure supply chain includes modern package management that is 100% compatible with the packages that you use, highly-automated and includes key enterprise features. Automated builds using source code, including linked C library libraries. You can automatically build/rebuild secure environments by flagging vulnerabilities per-package and per version. A complete Bill of Materials (BOM), including provenance, licensing and all dependencies, transient OS & shared dependencies. Virtual environments are built-in to simplify multi-project development, testing, and debugging. Web UI, API, & CLI for Windows/Linux. Soon, macOS support will be available. You will spend less time worrying about packages, dependencies and vulnerabilities and more time coding.

TestEngine is an optimized test execution engine that automates SoapUI/ReadyAPI tests on a large scale. TestEngine is flexible in deployment and can be installed on any cloud or on-premise environment. It supports centralized execution models as well as distributed options. TestEngine concurrently executes tests to accelerate your delivery pipelines. With minimal infrastructure maintenance, you can run large test suites along with shorter ad-hoc cases. TestEngine queues requests for execution of tests as they arrive. This allows staging projects to be submitted during peak times. As demand fluctuates, results are returned to clients. However, they can also be stored for later consumption. Testing is an integral part in delivering and maintaining stable, high-quality applications and services. TestEngine allows teams and individuals to speed up test executions, while avoiding complex environments.

The Python multi-platform windowing and multimedia library. pyglet, a powerful and easy-to-use Python library, allows you to create games and other visually rich applications on Windows, Mac OS X and Linux. It supports windowing, user event handling, Joysticks and OpenGL graphics. It also supports loading images and videos. This is all done with a friendly Pythonic API that's easy to use and doesn't get in the way. pyglet is available under the BSD open source license. This allows you to use it for commercial and open-source projects without restriction. No external dependencies or installation requirements. pyglet doesn't require any additional Python to meet most application or game requirements. This simplifies distribution and installation. This makes it easy for you to package your project using freezers like PyInstaller. pyglet offers real platform native windows that allow you to use multiple windows and multi-monitor desktops.

Firejail is a SUID that restricts the running environment for untrusted applications using Linux namespaces or seccomp-bpf. This reduces the risk of security breach. It allows processes and their descendants to have their private view of globally shared kernel resources such as the network stack. process table, mount table. The software is written in C and requires almost no dependencies. It runs on any Linux system with a 3.x kernel or newer. The overhead is low and the sandbox is lightweight. There are no configuration files to edit, socket connections are closed, and no daemons running in background. All security features are directly implemented in Linux kernel and accessible on any Linux computer.

Mageia, a GNU/Linux-based and Free Software operating system, is called. It is a community project that is supported by a non-profit organization of elected contributors. The goal is to provide a stable, secure and sustainable operating system. However, it is not enough. It is also important to establish and maintain credibility in the free software community. Mageia, a Free Software operating platform of the GNU/Linux community, can be installed on computers as either the main operating system or as an alternative to one or more pre-installed systems (dualboot). It is a community project that is supported by Mageia.Org, an organization of elected contributors. Mageia was developed by and for its users. It is suitable for all types of users, including first-time GNU/Linux users as well as advanced developers and system administrators. Mageia's software packages are located in three different repositories/media depending on the type and license applied to each package.

Mojo - a new language for AI developers. Mojo combines Python's usability with C's performance, unlocking AI hardware programmability and extensibility that is unmatched. Scale Python down to the metal. Programming low-level AI hardware. No C++ or Cuda required. With the most advanced compilers and runtimes, you can harness the full power of your hardware, including the multiple cores, vectors and exotic accelerators. You can achieve performance comparable to C++ and CUDA, without the complexity.

SparkyLinux, a GNU/Linux distribution, was built on top of Debian GNU/Linux. Sparky is lightweight, fast and customizable. It offers several versions for different users and tasks. For example, a fully featured OS with lightweight desktop environment. This OS works straight out of the box. There are also a variety of common home use software. MinimalGUI comes preinstalled with Openbox window manager and basic software. This is for users who want to customize their OS/desktop on top of Debian. Advanced users who want to create and configure their own desktops can use MinimalCLI without X server. Sparky supports approximately 20 desktop environments and window manager options, giving you the freedom to choose, while keeping in mind that your computer was designed for work, fun, entertainment, keeping in contact with friends, and many other purposes.

Easy to use interface for creating and editing database models. These forms show which fields need to be filled in order to generate the correct SQL code. The source code is free to download, modify, and distribute. This project has a public repository which allows forks and full accessibility to the source code. Developers can create their versions from the existing code. Built on top the Qt framework, PgModeler can be compile on Windows, Linux, and macOS. You can easily configure the build scripts to resolve specific dependencies for each operating system. You can design once and export to multiple versions. pgModeler's dynamic code generation allows you to export your designed models to different PostgreSQL versions (currently, from 9.x to 13x). Are you missing some functionality? You can create your own extension for the pgModeler using the plug-in interface without changing a single line in the core code.

Support for Bitbucket and GitLab Enterprise, Bitbucket and GitLab, Azure Reposs, Kiln, Gitea and custom repos. Configure builds using versioned YAML and UI. Clean, isolated build environment for each build. NuGet server and deployment built-in. Branch and PR builds are available to help you with your development workflow. Support from professionals and a vibrant community. We offer continuous integration tools for Windows developers. This service is free for open-source projects. We also offer subscriptions for private projects. Your apps can be built, tested, and deployed faster on any platform. Start in minutes, works on any source control, builds VMs quickly with admin/sudo. Multi-stage deployments, Windows, Linux, and macOS support. Install on Windows, Linux, and Mac in minutes. You can run unlimited pipelines locally, in Docker or in any cloud. Unlimited users, projects, jobs and clouds are all free.

You can test the new functionality of your app by interacting with mobile devices from your browser. You can create and execute hundreds of manual and automated tests on more than 1,000 Android and IOS devices in the cloud. Appium tests can be created directly from your IDE. You can also interact with the appium team and debug live. Advanced analytics and visual test reports are available. Selenium runs Selenium tests on more than 1,000 browser types, versions, operating systems, and other devices to automate cross-browser testing. You can interact with your app in real time and debug it. Visual testing is used to verify UI responsiveness at different resolutions. Appium Studio allows you to intuitively create new Appium tests and execute existing projects. You can easily test iOS devices on a Windows machine and enjoy advanced testing capabilities. Digital.ai Continuous testing allows enterprises to test at scale, increase coverage, and make data-driven choices to deliver high-quality apps.

Zend Server is a PHP server that has been trusted by global innovators including Fortune 100 companies. It offers easy-to-use tools as well as comprehensive services. * Improve Debugging * Streamline Deployments * Speed Performance * Boost Security * Unleash Scale * Simplify Integrations Zend Server comes with a certified PHP stack. Depending on which Zend Server edition you choose you can take advantage: * ZendPHP versions 5.6 or newer * PHP support includes 5-year code support and 24x7x365 options. * Zend Server support, including 24x7x365 options. * Automatic PHP updates and patches included with Zend Server Updates Zend Server can be run on Windows and Linux, as well as on IBM i. You can also use ready-to-go Zend Server Cloud instances.

BlackArch Linux, an Arch Linux-based penetration test distribution for security researchers and penetration testers, is available. Tools can be installed individually or in groups. BlackArch Linux can be used with Arch installations. Multiple window managers are available in the BlackArch Full ISO. The BlackArch Slim ISO includes XFCE Desktop Environment. The full ISO contains a fully functional BlackArch Linux system that includes all tools available in the repo at build-time. The slim ISO contains a functional BlackArch-Linux system with a selection of well-known tools and system utilities that can be used for pentesting. The netinstall ISO image is lightweight and suitable for bootstrapping. It contains a small number of packages. BlackArch Linux can be used with normal Arch installations. It serves as an unofficial repository for users. BlackArch Linux can be installed using the Slim medium, which includes a GUI installer.

This is the place to collaborate with other open-source projects on the Java platform standard edition and related projects. Download and install the most recent open-source JDK. Oracle's free, GPL-licensed, production-ready OpenJDK JDK 21 binaries for Linux, macOS, and Windows are available, Oracle's commercially-licensed JDK 21 binaries, based on the same code, are available as well. Browse the code online, clone the repository to make a copy locally, and submit a patch to fix an issue, enhance an existing component or define a feature. OpenJDK offers source code for developers to use in building their binaries. Users are responsible for compiling code and generating Java runtimes tailored to their platform. The JDK project is a complex one. It requires a certain level of technical expertise and a number of dependencies from external software. It also requires reasonably powerful hardware.

BitLocker Drive Encryption integrates with the operating systems and addresses data theft or exposure from computers that have been lost, stolen or improperly decommissioned. BitLocker offers the best protection when used in conjunction with a Trusted Platform Modul (TPM) version 1.2.2 or later. The TPM is a hardware component that is installed in many computers made by computer manufacturers. It works in conjunction with BitLocker to protect user data and ensure that the computer is not tampered with when it was offline. BitLocker can be used to encrypt the Windows operating-system drive on computers without a TPM version 1.2. To start the computer or resume hibernation, the user will need to insert a USB Startup Key. To protect the operating system volume on a computer that is not connected to a TPM, you can use an operating-system volume password starting with Windows 8.

software_DNA is a cloud-based, pay-as you-sell software licensing solution. software_DNA Version 6 now supports Android activation and Web Activation. You can license almost any device on all platforms, including Windows and Mac, Linux, mobile devices, and browser-based Web Apps. Hosted Environment is where we take care of 24/7 operations, manage operational costs, and offer all the development activities. All mobile apps are supported regardless of OS platform. Each mobile app that is activated counts as a licensed device. All major OS's are supported. License activation codes can be used on any platform. Software_DNA API's work across all platforms. This makes it easy and quick to port to new OS's, and increase your sales. Software_DNA can be connected to your eCommerce storefront for an automated, real-time license fulfillment process. All major eCommerce solutions are supported.

Arch Linux is an independent, x86 64 general-purpose GNU/Linux distribution. It strives to provide stable versions of most software through a rolling-release approach. The default installation is a minimal system that can be configured by the user to add only what is needed. Arch Linux is simple. It doesn't allow for unnecessary modifications or additions. It ships software as released by the original developers (upstream) with minimal distribution-specific (downstream) changes, patches not accepted by upstream are avoided, and Arch's downstream patches consist almost entirely of backported bug fixes that are obsoleted by the project's next release. Arch ships the configuration files provided by upstream with changes limited to distribution-specific issues like adjusting the system file paths. It does not add automation features, such as enabling a service just because the package has been installed.

Apache Arrow is a language-independent columnar storage format for flat and hierarchical data. It's designed for efficient analytic operations with modern hardware such as CPUs and GPUs. The Arrow memory format supports zero-copy reads, which allows for lightning-fast data access with no serialization overhead. Arrow's libraries support the format and can be used to build blocks for a variety of applications, including high-performance analytics. Arrow is used by many popular projects to efficiently ship columnar data or as the basis of analytic engines. Apache Arrow is software that was created by and for developers. We believe in open, honest communication and consensus decisionmaking. We welcome all to join us. Our committers come in a variety of backgrounds and organizations.

TrinityX, an open-source cluster management system created by ClusterVision to provide 24/7 oversight of High-Performance Computing and Artificial Intelligence environments. It provides a reliable, SLA-compliant system of support, allowing users the freedom to focus on their research, while still managing complex technologies like Linux, SLURM CUDA, InfiniBand Lustre and Open OnDemand. TrinityX simplifies cluster deployment with an intuitive interface that guides users step-bystep in configuring clusters for diverse purposes such as container orchestration, HPC and InfiniBand/RDMA. The BitTorrent protocol enables rapid deployment and setup of AI/HPC Nodes. The platform offers a dashboard that provides real-time insights on cluster metrics, resource usage, and workload distribution. This allows for the identification of bottlenecks, and optimizes resource allocation.

This is the Evergreen project site. Evergreen is highly-scalable software that libraries can use to help patrons find library materials and libraries manage, catalog and circulate these materials. It doesn't matter how complex or large the libraries are. The Evergreen Project is an open-source ILS (integrated librarian system) that is used by more than 2,000 libraries worldwide. The software, also known as Evergreen, is used to provide a public catalog interface and to manage back-office operations such as circulation (checkouts, check-ins), acquisitions of library materials and (especially in the case with Evergreen), sharing resources between libraries. Evergreen relies on the following technologies: Perl, C. JavaScript, XML. XPath. XSLT. XMPP. OpenSRF. Apache. Mod_perl. For Evergreen installations, it is recommended to use the latest stable version of a supported Linux distribution.