More aster-data Stories
Subscriber Content

elephant

There are now more than half a dozen commercial Hadoop distributions in the market, and almost every enterprise with big data challenges is tinkering with the Apache Foundation-licensed software. A new report examines the key disruptive trends shaping the Hadoop platform market. Read more at GigaOM Pro »

gold coins

Cambridge, Mass.-based startup Hadapt closed a Series A funding round of $9.5 million for its Hadoop-based software that handles structured and unstructured data in a single system. Norwest Venture Partners and Bessemer Venture Partners led the round, which comes about seven months after Hadapt’s launch. Read more »

loading external resource
Subscriber Content

gigaompromasterimagecloud

Big data and Platform-as-a-Service offerings highlighted the second quarter, suggesting that we can expect to see a shift in enterprise IT practices around application development and analytics very soon. On the PaaS front, we saw new projects like DotCloud and Cloud Foundry gain incredible momentum in just a few short months. The big-data activity ranged from major new Hadoop vendors to heavy investment in flash storage that will speed the serving of data to processing engines. In other areas, we saw an uptick in cloud-computing plans from large vendors, OpenStack continued to mature and pick up both contributors and users, and Facebook caught our eye by launching an open-source project around the designs for its specialized servers and data centers. Additional companies mentioned in this report include VMware, Salesforce.com, IBM, Heroku and Calxeda. For a full list of companies, and to read the full report, sign up for a free trial. Read more at GigaOM Pro »

Subscriber Content

datacenter

Business and IT leaders now face significant opportunities and challenges with big data — that is data sets that are so large they are difficult to store, manage and analyze. This report explores the rapidly evolving big data business and technology ecosystem. It examines big data in the context of several different industries: financial services, health care, sports, travel and media. We explore the different big data technologies — from Hadoop and NoSQL derivatives to cloud-based collaboration tools — and their various benefits for enterprises. And we examine some of the existing challenges big data poses, and what enterprise IT leaders can do to overcome them. Companies mentioned in this report include Amazon Web Services, Google, Teradata, IBM and Cloudera. For a full list of companies, and to read the full report, sign up for a free trial. Read more at GigaOM Pro »

teradata tdc-l

Data warehousing giant Teradata today agreed to acquire Aster Data, a data analytics provider, proving that it’s no longer enough to be able to store and access a lot of data quickly, one must also be able to analyze it quickly. But now, who’s left. Read more »

Forget AngelGate and shift your attention to the big-money world of cloud computing and infrastructure startups. While the clashing egos clang in the Silicon Valley echo chamber, massive amounts of money have started to flow into the cloud companies, at nosebleed valuations. Read more »

Aster Data, a big data analytics software company is saying that it has received $30 million in new funds from existing investors and a new undisclosed strategic investor. David Cheriton who backed Google and VMWare as an angel investor is also investing in the company. Read more »

Aster Data, a San Carlos, Calif.-based start-up that develops software for big data applications, says it’s replacing its founder-CEO, Mayank Bawa, with software industry veteran Quentin Gallivan, who previously worked for Pivotlink and Postini. Bawa will switch roles and will be company’s chief customer officer. Read more »

loading external resource

Aster Data, a San Carlos, Calif.-based company, is offering a free version of MapReduce development environment for downloads, which will allow developers to build data analytical apps based on it. MapReduce is a technology that was first used by Google for parallel processing of bigdata sets. Read more »