Want to correlate data from a NoSQL database with data from Salesforce, Stripe or Mailchimp? MetricaDB, a finalist in our Structure 2013 LaunchPad competition, wants to make that easy for you. Read more »
28msec is about to exit stealth mode and take the covers off its database platform that lets users query data from any source in real time. Read more »
Cascading creator Concurrent has developed a new open source tool called Pattern for running machine learning models on Hadoop clusters. When combined with its SQL tool called Lingual, users can move data from one stage to another easily. Read more »
IBM’s entrant in the SQL-on-Hadoop competition has been flying under the radar, but is available as a technology preview. Called Big SQL, it’s a big deal if IBM wants to be a major player in the Hadoop space. Read more »
In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated query capabilities into database management system (DBMS) engines.For some use cases, there appears to be room for a third approach that lies between the extremes and borrows from the best of each. Read more at GigaOM Pro »
Cloudera’s Impala engine for interactive SQL queries on Hadoop data is now generally available, and CEO Mike Olson gives his lay of the competitive landscape. Read more »
Cloud computing is finally starting to add value to business, as those in charge of cloud within enterprises are moving from talking to doing. That much was very evident in the first quarter of 2013. Read more at GigaOM Pro »
Cascading proprietor Concurrent has secured $4 million in venture capital in order to advance its efforts toward easing the development of big data applications. Read more »
Today’s most successful companies are the ones with the ability to capture and analyze all data available to them. Enter SQL-on-Hadoop solutions, which increase the accessibility of Hadoop and allow organizations to reuse their investment learning in SQL. Read more at GigaOM Pro »
Google now allows joins within its BigQuery analytics service, as well as support for timestamped data and massive aggregations. Valuable stuff if you use BigQuery. Read more »
Companies are rushing to embrace the promise of big data to understand both their businesses and the ways in which customers interact with them. But effective data-based decisions are not made in response to simplistic data reporting; they are made in response to considered and ongoing data analysis. Read more at GigaOM Pro »
Looker Data Services has raised $2 million to help more enterprise employees easily run targeted business-intelligence queries with a proprietary SQL-based language called LookML. Read more »
EMC Greenplum rolled out a new Hadoop distribution that fuses the popular big data platform with its flagship MPP database technology. Co-founder Scott Yara thinks the company’s huge investment puts it in the catbird seat among Hadoop vendors. Read more »
More and more companies and open source projects are trying to let users run SQL queries from inside Hadoop itself. Here’s a list of what’s available and, on a high level, how they work. Read more »
Citus Data has expanded its high-speed, analytic database called CitusDB beyond Postgres and into Hadoop. Up next, MongoDB and just about anything else you can think of. Read more »
The last quarter of 2012 saw the rise of cloud-based databases, the cloud awakening of software giants such as HP, and many cloud outages that have left question marks. Enterprises found more IT dollars, and they will focus on the cloud for much of that spending. Read more at GigaOM Pro »
ScaleArc’s technology sits between applications and their SQL databases, claiming to provide better performance and better operational insights than running MySQL, Oracle Database or Microsoft SQL Server alone. With a $12.3 million Series C round, ScaleArc will try to withstand a glut of competition. Read more »
The delivery of real-time query makes Hadoop accessible to more users — and by orders of magnitude. Its significance goes well beyond delivering a database management system (DBMS) kind of query engine that other products have had for decades. Rather, Hadoop as a platform now supports a whole new paradigm of analytics. With the introduction of real-time query, Hadoop has taken a major step toward unifying the majority of big data analytic applications onto one platform. This research paper targets information technology professionals who have in-depth experience with traditional RDBMS and seek to understand where the Hadoop ecosystem and big data analytics fit. Read more at GigaOM Pro »
In just a few years, big data has turned from a buzzword and concept best left for large web companies into a force that drives much of our digital lives. Here are five technological trends that will change how data is processed and consumed going forward. Read more »
Cloudera has joined the fray of Hadoop companies trying to turn the big data platform into an engine for exploring data interactively using standard SQL. As the biggest company in the space, its new technology called Impala could go a long way toward changing Hadoop’s image. Read more »
Damian Black, CEO of SQLstream, talks about why data flow computing is experiencing a rebirth and what it could mean for scaling in the cloud. Read more »
Hadoop startup Hadapt has made its unified Hadoop-and-SQL analytic architecture even easier by adding native advanced analytic functions and integrating tightly with Tableau’s powerful BI software. It’s a sign of things to come as Hadoop and traditional SQL-based BI become cozy across the board. Read more »
Google designed BigQuery as a cloud service for running fast queries against massive datasets, but with lofty ambitions there’s always room to take a step back. Now, users that don’t require super speed can run batch queries, and can connect to the service using Microsoft Excel. Read more »
Heroku built an app that makes it easy for Mac users to download and get started using the PostreSQL database. Called Postgres.app, the product should be available in the App Store soon and includes a number of popular Postgres features and libraries. Read more »
Everybody likes a good technology debate: Mac vs. PC, Android vs. iOS, Larry Ellison vs. the world. On Thursday panelists at GigaOM Structure turned their attention to the world of databases: SQL or NoSQL? Read more »
NoSQL databases like MongoDB, Cassandra or CouchDB are a key foundation for web startups. But those companies might be better served using an old-fashioned relational database when it comes to their bread-and-butter transactions, according to Thrillist CTO Mark O’Neill. Read more »
Ask a VC about big data and she will probably tell you about visualization of the user interface. We’re talking about intuitive UIs that let users visually work with data using charts and tools, not algorithms. It’s hard to do right, but the payoff could be huge. Read more at GigaOM Pro »
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 »
This quarter saw Amazon Web Services finally relaxing its public-cloud-only stance and launching services to support hybrid-cloud deployments. Meanwhile, Hadoop players moved to make their platforms more accessible to mainstream BI analysts and database administrators. A new quarterly report analyzes these trends and provides a near-term outlook. Read more at GigaOM Pro »
Big data now touches everything from enterprises to smart-meter startups, while Hadoop is fast becoming the leading tool to analyze that data, and debates around privacy abound. GigaOM Pro analysts offer insights on what to consider when it comes to big data decisions for your business. Read more at GigaOM Pro »
Matt Howard of Norwest Venture Partners predicts that 2012 and 2013 will be Hadoop’s breakout years. Howard gives us insight into the five factors that will accelerate Hadoop’s mainstream adoption over the next 18 months. Read more »
Cloud platform-as-a-service provider Heroku has added a new feature to its Postgres database service that lets users share the results of an SQL query simply by sending a URL. The feature, called Data Clips, shows viewers both archived and current result sets in their web browsers. Read more »
There’s a lot of talk about the democratization of data, but simply making data sets publicly available leaves open some key problems. Datafiniti wants to change that with a search engine it hopes will make finding structured data as easy as finding sites using Google. Read more »
GreenSQL, an Israeli-based startup that offers software that secures databases has raised a second round of funding led by Rhodium and Atlantic Capital Partners. The funding will allow the company to expand to the U.S. and build products for NoSQL tools used today. Read more »
Among the biggest problems with developing applications for the cloud is scaling the database layer. GenieDB, a competitor in our recent Structure 2011 LaunchPad competition, wants to give its customers the benefits of both SQL and NoSQL to scale across data centers. Read more »
During an afternoon panel entitled “The Many Faces of MapReduce — Hadoop and Beyond,” moderator Gary Orenstein compared the two primary Hadoop components — MapReduce and the Hadoop Distributed File System — to the meat and bread of a sandwich. Read more »
A Yale computer science project has turned into a company giving Hadoop the ability to perform analytics on both structured and unstructured data. Hadapt launched today with an undisclosed amount of funding and the goal of making Hadoop more broadly applicable for analytics. Read more »
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 »
A study released today by a team of leading database experts, among them Structure 09 speaker Michael Stonebraker, has been generating buzz for its assertion that clustered SQL database management systems (DBMS) actually perform significantly better for most tasks than does cloud golden child MapReduce. But […] Read more »
We’re now entering what I call the “Industrial Revolution of Data,” where the majority of data will be stamped out by machines: software logs, cameras, microphones, RFID readers, wireless sensor networks and so on. These machines generate data a lot faster than people can, and their […] Read more »
