Kyvos Insights recently announced the general availability of Kyvos, a solution that allows users to access Hadoop-based data by means of the familiar, OLAP cube structure referenced by most business intelligence platforms. By bringing OLAP to Hadoop, Kyvos gives customers the ability to understand relationships between different variables such as age and spending patterns with impressive query response times. As such, Kyvos enables interactive exploration and visualization of Hadoop-based data while accelerating the time to insight with respect to the derivation of actionable business intelligence. Compatible with all major Hadoop distributions, Kyvos positions itself within a larger ecosystem of products that aim to render Hadoop-based data more accessible to analysts, either by rendering Hadoop compliant with a SQL-compliant query interface or by delivering a proprietary business intelligence platform for Hadoop. Kyvos boasts its own dashboards and data visualization functionality and frees users from the need to transfer Hadoop data to a separate staging area dedicated to analysis. Importantly, Kyvos illustrates the urgency within the industry to simplify access to Hadoop data by presenting users with familiar, battle-tested methods of exploring big data that integrate with the business intelligence frameworks familiar to the community of analysts at large.
Kentik emerged from stealth to reveal details of a cloud-based platform for network visibility that delivers an exceptional degree of visibility into network performance and operations in comparison to existing products. Formerly known as CloudHelix, the Kentik direct service aggregates network-related data from customers into a non-relational database and subsequently performs analytics to give customers real-time visibility into traffic within their network infrastructures. Kentik allows customers to upload data directly to its SaaS platform or to a virtual appliance that encrypts the data prior to its transmission. The solution has gained early traction with customers such as Box and Yelp in addition to large internet service providers. Sam Eaton, Director of Engineering Operations at Yelp, remarked on the innovation enabled by Kentik as follows:
Kentik has given us the insight and visibility that we have not been able to achieve through other network performance monitoring products or open source tools. With over 100 million average monthly unique visitors coming to Yelp, we see traffic reaching many gigabits per second, so it’s critical for us to be able to look deeply into all network traffic in real time and gain real insight. That’s where Kentik has helped. We can see things we simply couldn’t see before.
Here, Eaton remarks on Kentik’s ability to deliver real-time, granular insights into Yelp traffic that exceeds “gigabits per second.” Similarly, Box.com leverages Kentik to obtain geography-specific insights into network traffic that allow for timely and proactive remediation of network-related problems before they intensify. Today, Kentik also announces the finalization of $12M in Series A funding led by August Capital. The company’s Big Data platform for aggregating and analyzing network data aims to disrupt networking analytics by delivering an unparalleled degree of insight into network behavior in ways that support high availability, performance optimization and security-related use cases.
Redis Labs Raises $15M In Series B Funding For High Throughput, Low Latency, NoSQL Database Platform And Cloud
On June 25, Redis Labs announced the finalization of $15M in a Series B funding round led by Bain Capital Ventures and Carmel Ventures. The funding raise validates the traction of Redis Labs and its cloud platform, the Redis Cloud, a fully managed cloud platform for running Redis databases. An open source, in-memory, key value data store, Redis boasts the capability to facilitate a high volume of read and write requests with sub-millisecond latency. The single threaded event-driven architecture of Redis in conjunction with its other protocols allows Redis to claim speeds that exceed its in-memory database competitors by 5-10x. Popular use cases for Redis involve leaderboards, session management and player profiles with reference to gaming applications. Other use cases include message queues, search engines and caching in highly interactive web applications that need to scale to tens of millions of users, each of which may have a unique user profile and representation in dynamically updated, application-related lists that represent how many “objects” are being “followed” or “saved” by a user. Last week’s funding raise brings the total capital raised by Redis Labs to $28M. With paying customers that include Hotel Tonight, Bleacher Report and Docker and a healthy infusion of Series B funding, Redis Labs stands poised to capitalize on its meteoric growth since the company was founded in 2011. Within a broader landscape of growing adoption of NoSQL databases and a proliferation of datacentric, mobile and web-based applications that require real-time updates that cascade across a constellation of database objects, expect Redis Labs to continue to drive innovation with respect to enterprise-grade Redis deployments and to spearhead Redis adoption more generally.
This week, Metanautix announced the launch of Quest 2.0, the latest version of its platform for querying relational and non-relational datasets to enable customers to obtain an integrated, 360 degree view of data spanning disparate datasets and repositories. Quest 2.0 features software-defined data marts that allow customers to build data marts using virtualization technology to create discrete repositories for data for individual business units and business processes. Enterprise IT departments retain the ability to deliver centralized management and review of software-defined data marts across an organization. Meanwhile, the data marts empower business units to ingest, analyze and visualize data with enhanced operational agility in comparison to enterprise data warehouses. Quest 2.0 accelerates the pace of data analysis within an organization while concurrently offering centralized governance, audit control and security functionality. The solution brings the ability of the Metanautix Compute Engine to perform analytics across a multitude of datasets while empowering business units to take ownership of their data strategy, analytic roadmap and data practices.
On Tuesday, ActiveState announced a partnership with Microsoft Azure that renders the Stackato Platform as a Service available on Azure. Built on Cloud Foundry, Stackato PaaS supports Docker and integrates with a multitude of third party products such as New Relic, Splunk and various database platforms. Stackato’s enterprise-grade PaaS platform enhances the operational agility of developers by delivering a pre-configured, polyglot application development stack based on the open source Cloud Foundry platform. Stackato’s enterprise-grade security and professional services offerings allows customers to leverage the benefits of an open source platform derived from the contributions of developers all over the world, in conjunction with enterprise-grade user management and security functionality. Moreover, Stackato’s support for Docker renders it ideal for the development of distributed applications marked by enhanced portability both at the level of individual and multiple containers. ActiveState’s partnership with Microsoft Azure marks a coup for Stackato given that it is now available on one of the industry’s most popular IaaS platforms. Conversely, Stackato’s availability on Microsoft Azure represents yet another feather in Azure’s cap and a differentiator from Amazon Web Services, which offers only one PaaS on its IaaS platform in the form of Elastic Beanstalk. Azure already features Apprenda as another enterprise-grade PaaS on its platform in a clear sign that it intends to continue to differentiate itself from AWS by supporting a wider range of vendors and third party partnerships. With Apprenda and ActiveState Stackato available on its platform, Azure stands poised to brand itself as the IaaS with the richest set of partnership offerings, particularly in the PaaS space where IaaS and PaaS partnerships continue to proliferate as evinced by the forthcoming availability of both ActiveState Stackato and Apprenda on the Cisco Intercloud Marketplace. Meanwhile, Stackato’s Cloud Foundry-based polyglot PaaS functionality and support for Docker renders it a leader in enterprise PaaS that promises to broaden its reach further by means of its collaboration with Azure.
SnowFlake Computing Raises $45M In Series C Funding And Announces General Availability Of SnowFlake Elastic Data Warehouse
SnowFlake Computing recently announced the general availability of the Snowflake Elastic Data Warehouse, a SQL data warehouse available as a Software as a Service deployment on the Amazon Web Services cloud. The SnowFlake Data Warehouse represents a data warehouse designed for cloud infrastructures that decouples storage from computing, thereby enabling customers to benefit from the low costs of public cloud storage as well as on demand computing. As a fully managed solution, the SnowFlake Data Warehouse gives customers the freedom to store and access cloud-based structured and semi-structured data without the hassle of managing the infrastructure or taking responsibility for the infrastructure’s elasticity, scalability, availability and security. In conjunction with the news of the general availability of the SnowFlake Elastic Data Warehouse, SnowFlake Computing also announced the finalization of $45M in Series C funding led by Altimeter Capital with additional participation from existing investors Redpoint Ventures, Sutter Hill Ventures and Wing Ventures. The capital raise validates the vision behind SnowFlake’s disruptive model of cloud-based data warehousing. Architected for the cloud, the SnowFlake Data Warehouse supports the storage and query of big data in ways that allow enterprises to derive actionable business intelligence from petabytes of transactional data with impressive query response times and latencies.
On Monday, Docker announced a bevy of functionalities that augment the portability of distributed applications composed of multiple containers. Docker multi-host SDN renders containers portable across any infrastructure and enables distributed applications to communicate across IP networks. The multi-host SDN functionality allows developers to define the networking parameters of a distributed application and subsequently transport the application to another hosting environment without a fundamental transformation of the distributed application itself. In addition to multi-host SDN, the Docker platform now features a plugin architecture that facilitates enhanced plugin capabilities with technology vendors. Docker’s new plugin functionality allows for integrations with networking and storage technology from the likes of Cisco, Microsoft, Midokura, VMware, Weave for SDN and ClusterHQ.
Docker also revealed details of enhancements to its orchestration tools that enable a multi-container application to be “immediately networked across multiple hosts,” as noted in a press release. Docker’s expanded orchestration functionality also features integrations with Mesos as well as partnerships with the Amazon EC2 Container Service to optimize the scheduling of Docker-based applications for the Amazon Web Services EC2 platform. Taken together, Docker’s multi-host SDN functionality, plug-in architecture and orchestration capabilities continue to cement its emergence as the de facto infrastructure for the development of distributed applications in contrast to virtual machines. Docker’s multi-host SDN functionality, in particular, goes a long way toward rendering containers more portable across infrastructures while nevertheless allowing developers to tweak network topologies as needed to optimize the distributed application in relation to the specificities of the host environment in question.