Today, Pyze announces the addition of a new tier of services to its Growth Intelligence platform that augments its ability to deliver actionable business intelligence to mobile app publishers. The Pyze Hyper Growth Tier empowers mobile app publishers to transform user behavior into a dimension that can be used to more effectively understand application performance by way of the automated segmentation of users via behavioral attributes. For example, publishers of a mobile real estate app can create a dimension for first-time homeowners versus existing homeowners, or buyers interested in moving out of state vs. those that are shopping for homes locally. The newly enabled capability to create custom-defined dimensions enables mobile app users to obtain more targeted and granular insights regarding the drivers of user behavior within their app. The app dimensions within Pyze’s Hyper Growth Tier enhance the analytics enabled by Pyze’s out of the box metrics such as engagement, loyalty, attrition risk, revenue and app starts or sessions. Moreover, mobile app publishers have the ability to define new app dimensions as their app evolves in relation to its reception by end users. The graphic below illustrates the ability of the Pyze platform to deliver business intelligence about mobile app usage:
Here, the screenshot provides details about metrics such as the number of installations, application launches and user engagement. The availability of app dimensions via Pyze’s Hyper Growth Tier enables app owners to layer analytics such as those shown above with additional dimensions such as demographic data about users or other user attributes to enhance the richness of Pyze’s business intelligence even further. In conjunction with the release of app dimensions, Pyze today announces Personalization Intelligence and Revenue Intelligence that empower app publishers to deliver personalized content tailored to different user groups, including their history of revenue generation. Taken together, the release of app dimensions, Personalization Intelligence and Revenue Intelligence marks a significant set of enhancements to the Pyze platform that collectively enable mobile app publishers to derive granular business intelligence about the interaction between users and their apps and subsequently deliver more personalized content to their users. Available at a price of $99 per month for apps with less than a million users, the Pyze Growth Tier disrupts the market for mobile app business intelligence and continues to differentiate Pyze from other players in the mobile app analytics space.
IBM recently announced details of a strategic partnership with Workday whereby the IBM Cloud will become the platform of choice for Workday’s development and testing environment. Workday, which specializes in cloud-based applications for human resources and financial management, will use the IBM Cloud to support its growth and enrich its development and testing process for application development. IBM’s partnership with Workday represents a notable milestone with respect to the demonstration of its ability to court enterprise customers, particularly given a slew of recent reports from Deutsche Bank, Gartner and other analyst firms that claim IBM is losing ground to Amazon Web Services, Microsoft and the Google Cloud Platform in the battle for cloud market share. Workday plans to expand its use of the IBM Cloud beyond development and testing as the multi-year partnership progresses.
Velostrata recently announced the release of Velostrata 2.0, a cloud migration platform that simplifies, streamlines and automates the process of moving workloads from on-premise environments to public clouds. Velostrata boasts the capability to swiftly migrate applications to clouds by way of an architecture that decouples compute from storage. The platform’s decoupling of compute from storage allows customers to migrate an application to a public cloud within minutes while its underlying data is subsequently streamed to the cloud. In the event the application requires specific data immediately, it can fetch the requisite data from the on-premise environment and iteratively reduce latency related to data retrieval via a cloud cache that stores frequently retrieved data objects. Because Velostrata does not transfer the entirety of an application’s data to the public cloud, it takes advantage of the computing power of the public cloud in conjunction with advanced data streaming and caching functionality to stream relevant datasets to the cloud. Velostratra’s smart migration software delivers automated migration of storage environments without changes to source files, thereby enhancing workload mobility and empowering businesses to leverage the public cloud for dev/test use cases in addition to business continuity.
Velostrata 2.0 features support for Microsoft Azure in addition to Amazon Web Services. Moreover, Velostrata announced the finalization of $17.5M in Series B funding led by Intel Capital, a strategic investor. Existing investors Norwest Venture Partners and 83 North also participated in the round. Velostrata’s expertise in data streaming and caching positions it to deliver a disruptive solution to the problem of cloud migration that taps into the preference of many customers to adopt a hybrid cloud strategy whereby data resides on-premise, but the computational heavy lifting is performed in the cloud. With an extra $17.5M in funding, the company stands poised to ride the wave of skyrocketing cloud adoption by delivering a hybrid cloud solution for cloud migration, the promise of which is augmented by its partnership with Intel, its new strategic investor and the leader of its Series B round of funding.
ZeroStack recently announced a partnership with T5 Data Centers and Colovore that will expand the range of deployment options available to customers of its OpenStack-based private cloud solution. As a result of the partnership, T5 Data Centers and Colovore will host ZeroStack’s Z-Block Cloud Appliance within their infrastructures. The collaboration between ZeroStack and T5 Data Centers and Colovore means that customers can now leverage the experience of either of its two Managed Service Provider (MSPs) partners to operationalize their deployments, whereas previously they were limited to hosting ZeroStack on-premise. The streamlined path toward private cloud deployment delivered by ZeroStack’s partner MSPs promise to expand ZeroStack’s footprint in the commercial OpenStack private cloud space by appealing to customers interested in a hybrid cloud environment for their deployments. In addition, both MSPs offer their own marketing and sales channels for ZeroStack, thereby further expanding the avenues by which prospective private cloud customers stand to learn about ZeroStack’s private cloud solution. Meanwhile, T5 Data Centers and Colovore stand to gain from the partnership by offering the capability to host ZeroStack’s OpenStack-based private cloud solution and serving the needs of an ever expanding base of enterprise customers interested in private cloud infrastructures. All told, the partnership between ZeroStack and T5 Data Centers and Colovore promises to expedite the on-ramp to the private cloud by giving customers enhanced flexibility with respect to their deployment models. Importantly, the partnership strengthens the positioning of ZeroStack within the commercial OpenStack space and solidifies its brand as a significant player in the private cloud space.
On July 21, Redis Labs announced the finalization of $14M in Series C funding led by Bain Capital Ventures and Carmel Ventures. The Series C funding raise builds upon 350% year over year revenue growth for Redis Labs, the creators of Redis and distributors of an enterprise-grade version of the Redis NoSQL database platform. In the first two quarters of 2016, Redis Labs notched up over 600 new enterprise customers including the likes of TD Bank, Groupon, Verizon and Twitch. Redis Labs now claims over 6,200 enterprise customers and more than 55,000 Redis Cloud accounts. The announcement of over 350% YOY revenue growth in conjunction with details of a roster of new enterprise customers in verticals that include finance, media and retail emphatically illustrate the increasing penetration of Redis in the contemporary, enterprise NoSQL database space. Fueled by the proliferation of applications marked by high transactional volume and data throughput, the impressive growth of Redis amongst enterprise customers in the first half of 2016 testifies to the importance of its in-memory, data structure store database technology whose optimization of data structures and commands delivers enhanced execution response times and application performance. With an extra $14M in funding, the industry should expect even more innovation from Redis Labs that builds upon the announcement of Redis Modules in May.
Prescriptive Data recently elaborated details of Nantum, a cloud-based platform that delivers intelligent automation for the management of real estate. Nantum integrates sensor data from a multitude of sources to deliver actionable business intelligence about the performance of a building with respect to metrics such as energy consumption, occupancy and expense utilization. Specifically, the Nantum platform ingests and aggregates sensor data sources that include subway and traffic data to proactively understand the occupancy of buildings as a means toward optimizing the delivery of energy. Nantum’s machine learning analytics can predict seasonal and local variations in occupancy as a result of variables such as weather, holidays and notable news-related events. Moreover, the Nantum platform natively integrates with infrastructures for the delivery of energy within buildings to intelligently automate the usage of energy in different buildings and their constituent floors and rooms. Built using MongoDB 3.2 Enterprise Advanced, Prescriptive Data’s Nantum platform delivers real-time analytics to building operators via a dashboard containing actionable business intelligence as illustrated below:
Whereas an earlier version of the application was built using Oracle and Microsoft via an on-premise deployment, the current version is delivered via the cloud using MongoDB Enterprise Advanced in conjunction with Amazon Web Services. The existing platform delivers prescriptive analytics that empower building operators to make decisions using machine learning-generated algorithms. Building operators can elect to implement the recommendations from Nantum’s smart building platform or customize them as desired. Importantly, the platform delivers recommendations about building management based on real-time data and iteratively optimizes the accuracy of its prescriptive analytics using machine learning technology. Expect to hear more about Nantum as it brings it smart building analytics to more buildings across the U.S. via the intersection of MongoDB-based big data, the AWS cloud, predictive analytics and real-time data feeds that produce interactive data visualizations for building owners and operators.
On Wednesday, Snowflake Computing announced enhanced automation for its cloud data warehouse that specializes in storing and analyzing structured and semi-structured data. Snowflake’s Elastic Data Warehouse now boasts improved capabilities for automated scaling to accommodate dramatic increases in concurrency, thereby preserving the speed and optimization of queries in scenarios marked by spikes in storage capacity, user activity and writes to the database more generally. The platform’s augmented automated scaling functionality extends to the management of distributed data and metadata by allowing customers to ensure optimal query performance without manual re-distribution of data fields and taxonomies as the database scales. In addition, Snowflake’s data warehouse optimizes dashboard and reporting capabilities by streamlining the results of frequently performed queries and accelerating the query results that they deliver. Moreover, the company’s Elastic Data Warehouse allows customers to travel back in time to customer-defined milestone points in the history of the database, thereby empowering customers to expeditiously recover data or retrieve data history as a point of comparison. Snowflake Computing’s ability to “milestone” the database enables it to deliver high availability and disaster recovery and thereby ensure business continuity for applications that leverage mission-critical data stored within its infrastructure.
Taken together, the July 20 product-related enhancements from Snowflake Computing usher in increased automation and performance optimization for its cloud-based data warehouse that boasts the ability to store and query big data, including JSON documents, using SQL. As enterprises increasingly seek cloud-based data warehouses as a solution to manage petabytes of siloed data across a bewildering multitude of hardware and software platforms, expect Snowflake Computing’s Elastic Data Warehouse to expand its footprint in the enterprise data warehouse space given the nexus of its simplicity, richness of functionality and fully managed quality that empower customers to focus on analyzing data instead of managing the operational process that undergirds the storage and retrieval of big data.