Kylo Integrations

Whether you're looking for compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability and reliability. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud.

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.

VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as home use. Not only is VirtualBox an extremely feature rich, high performance product for enterprise customers, it is also the only professional solution that is freely available as Open Source Software under the terms of the GNU General Public License (GPL) version 2. See "About VirtualBox" for an introduction. Presently, VirtualBox runs on Windows, Linux, Macintosh, and Solaris hosts and supports a large number of guest operating systems including but not limited to Windows (NT 4.0, 2000, XP, Server 2003, Vista, Windows 7, Windows 8, Windows 10), DOS/Windows 3.x, Linux (2.4, 2.6, 3.x and 4.x), Solaris and OpenSolaris, OS/2, and OpenBSD. VirtualBox is being actively developed with frequent releases and has an ever growing list of features, supported guest operating systems and platforms it runs on. VirtualBox is a community effort backed by a dedicated company.

Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world.

Powered by the bippLang data modeling language, bipp’s cloud BI platform was designed for SQL and data analysts from day one. It saves you and your teams' time so your businesses can make better-informed, faster decisions. bippLang data modeling language streamlines SQL queries by creating reusable complex data models with custom columns and dynamic sub-querying. Git-based version control means analysts can collaborate; all data models and SQL queries are automatically backed up. Always-free version gives you access to a powerful BI platform with professional support at no cost. In-database analytics means there’s no need to copy the data into a different system, speeding up access and producing real-time results. Auto-SQL generator leverages joins defined in the data model, figures out which tables to join and generates dynamic sub-queries based on context. Single source of truth data models ensure everyone in the organization bases business decisions on the same data.

Secure, store and tightly control access to tokens, passwords, certificates, encryption keys for protecting secrets and other sensitive data using a UI, CLI, or HTTP API. Secure applications and systems with machine identity and automate credential issuance, rotation, and more. Enable attestation of application and workload identity, using Vault as the trusted authority. Many organizations have credentials hard coded in source code, littered throughout configuration files and configuration management tools, and stored in plaintext in version control, wikis, and shared volumes. Safeguarding and ensuring that a credentials isn’t leaked, or in the likelihood it is, that the organization can quickly revoke access and remediate, is a complex problem to solve.

Now anyone can find insights hidden in their company data in seconds. Use search to analyze your data and get automated insights when you need them. ThoughtSpot lets anyone ask any questions, find insights, and drill infinitely into their company data in seconds. Stop waiting for custom reports from data experts and instantly answer ad-hoc data questions on the fly. Empower non-technical people to answer their own data questions, while you build a single source of truth with security and governance at scale. Maximize the value of your cloud data warehouse and accelerate speed-to-insight for everyone across your business. Democratize access to insights in minutes and transform the way your company uses data. See how the most innovative organizations use ThoughtSpot to get more value from their data. Deploy as SaaS or software in your virtual private cloud. AI-driven insights so you know sooner.

Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands.

The BiG EVAL solution platform provides powerful software tools needed to assure and improve data quality during the whole lifecycle of information. BiG EVAL's data quality management and data testing software tools are based on the BiG EVAL platform - a comprehensive code base aimed for high performance and high flexibility data validation. All features provided were built by practical experience based on the cooperation with our customers. Assuring a high data quality during the whole life cycle of your data is a crucial part of your data governance and is very important to get the most business value out of your data. This is where the automation solution BiG EVAL DQM comes in and supports you in all tasks regarding data quality management. Ongoing quality checks validate your enterprise data continuously, provide a quality metric and supports you in solving the quality issues. BiG EVAL DTA lets you automate testing tasks in your data oriented project.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Secure sensitive data wherever it flows—on premises, in the cloud, and in big data analytic platforms. Voltage encryption delivers data privacy protection, neutralizes data breach, and drives business value through secure data use. Data protection builds customer trust and enables compliance to global regulations, including GDPR, CCPA, and HIPAA. Privacy regulations recommend encryption, pseudonymization, and anonymization to protect personal data. Voltage SecureData enables enterprises to de-identify sensitive structured data and support the use of data in its protect state to safely drive business value. Ensure that applications operate on secure data flowing through the enterprise with no gaps, no decryption, and no performance overhead. SecureData supports the broadest range of platforms and encrypts data in any language. Structured Data Manager integrates SecureData so that businesses can easily and continuously protect data throughout the lifecycle, from discovery to encryption.