Pretty much everyone nowadays is chasing after the opportunity to take a shit-ton of unstructured data, and well, structure it. That means taking huge databases and making them searchable. Which is exactly the business that Clustrix is in. The company was founded in 2005 and about two years ago, it launched aproprietary database appliance that provides SQL database functionality at like, limitless scale.
Now with its product mature and the market wide open, Clustrix has raised $6.75 million from existing investors Sequoia Capital, USVP, and ATA Ventures. Robin Purohit, who took over as president and CEO of the company last October, tells me that it’s a round of convertible debt being used as a bridge to an upcoming Series C round.
The launch of Google Analytics App for Android phones!
- Real-Time: See the number of visitors you currently have and a list of the pages (for websites) or screens (for apps) that are currently popular.
- Dashboard: Monitor the KPIs and user metrics you care about the most. By default, you’ll see your Daily Unique Visitors and your Goal Conversion Rate, but you can customize the dashboard to change which reports, metrics, or segments you see.
- Automatic and Customized Alerts: Google Analytics detects statistical anomalies in your data and can send you an alert when something unusual happens. See either automatic alerts, or customize your settings to send alerts based on your own benchmarks.
As companies from small startups to large enterprise continue to generate an ever-increasing amount of data, the demand for affordable and scalable databases also increases. Typically, this market has been the domain of large vendors like Oracle, but besides them and the usual open-source players, we’ve also seen a growing number of closed-source startups enter this space. Citus Data, which is launching version 1.0 of its CitusDB today, is the latest startup to challenge these incumbents.
The Y Combinator graduate (the company was part of the summer 2011 class) develops a scalable analytics database that’s built on top of PostgreSQL. Unlike its direct competitors, the company makes its product available for free for users who only need up to eight nodes. It’s also, as the company notes, “the first such database that’s available for download.”
Last year, we introduced you to MemSQL, a plucky young Y Combinator alum that was building technology that would let developers give their databases a Nitrous boost, while simplifying application development and maintenance. Founded by ex-Facebookers Eric Frenkiel and Nikita Shamgunov, MemSQL raised $2.1 million in seed funding last July from an impressive roster of investors, before going silent to plug away at their private beta.
After a year of development, MemSQL is officially ready for primetime. Today, the startup launches its next-gen database into the world, and it’s got some shiny new coin to go with its new product, bringing total investment to $5 million. As part of the follow-on seed funding, existing investors First Round Capital, SV Angel, Y Combinator, Paul Bucheit and Ashton Kutcher are joined by IA Ventures, Max Levchin, Aaron Levie and Data Collective — to name a few.
The startup intends to use its new capital to scale its infrastructure and take advantage of areas of the market where fast analysis of machine data is crucial, like financial services, digital advertising technology, and telecom and mobile services.
Those familiar with the space may wonder what makes MemSQL so special, out of the multiple VC-backed, already-been-around-for-awhile “newSQL” startups out there doin’ their thing. (Like Clustrix, GenieDB, VoltDB, RethinkDB, ScaleDB, JustOneDB, Tokutek, Akiban, CodeFutures, ScaleBase, etc.)
I am excited to announce that today we achieved a significant milestone in the life and development of our agency Datarati!
Today, we signed and welcome’d our 50th client to the Datarati family! We are truly working with some amazing clients and have developed some long lasting relationships which we look forward to continuing to grow into the future!
For the past three years, we have been working hard in the market to educate marketers in Australia, New Zealand and the wider Asia-Pacific region on how to use their Marketing & Sales data to help drive revenue performance within organisations! It’s great to see so many of our clients starting to realise this shared vision of what’s possible when you combine smart people, processes and proven methodologies with the world’s leading Marketing Automation & Salesforce Automation databases.
We are continuing to grow and invest in our Customer Success Team throughout the APAC region, by focusing on attracting and retaining the brightest talent from within our industry.
This is just the beginning of our story.
We have big growth plans for the future of our agency and look forward to continuing to share our journey with each and every one of you!
In closing, we celebrated with all our clients at our 3rd Birthday Party in Sydney last Friday night! Click here to see the photos: http://www.facebook.com/media/set/?set=a.10151021565972527.475522.120090702526&type=3
p.s. we’re hiring!
+61 400 828 866
Datameer was founded in 2009 to help businesses run analytics against large data sets with no programming required. With its latest release, Datameer is introducing two new versions of its data analytics software that can be run on the desktop or on an enterprise’s own server.
The Enterprise version of its product is based on Apache Hadoop, and would work with any Hadoop distributor, whether it be Cloudera, Hortonworks, EMC, or anyone else. With Version 2.0, users of the enterprise client will still have that capability. But in addition to that, Datameer is rolling out two new versions of its software: a personal edition, which can run on the desktop, as well as a workgroup edition, which can run on a single server.
Yes, Hadoop on a desktop. All you have to do is download the Datameer software and install it, and Hadoop will be running natively on your machine.
Data visualization isn’t always easy, especially if your data is coming from a wide variety of sources. Datahero, which is launching its private alpha today, wants to make it easier for individuals, small companies and even enterprises to visualize and understand their data without having to worry about data formats and SQL queries. The company plans to opens its web-based service up to the public later this year. As the company’s co-founders Chris Neumann and Jeff Zabel told us earlier this week, Datahero also just raised a $1 million funding round led by Foundry Group, with participation by Neu Venture Capital, Dave Kellogg, Tasso Argyros, Mayank Bawa, Mike Greenfield, and Jonathan Goldman.
The company’s co-founders are both tech industry veterans, but are coming to this new business from two different directions. Neuman previously worked at Aster Data, a big data analytics company that was doing “big data analytics” before anybody really called it that. Zabel, on the other hand, previously worked on consumer-facing products at BMW’s Palo Alto lab, where he was, among other things, responsible for BMW’s iPhone integration and Google Maps send-to-car-GPS functionality.
In an interview earlier this week, Neumann and Zabel noted that, in their view, there has been a big shift in how people want to interact with their data now that they have so much information at their fingertips. Current business intelligence tools, however, are often antiquated and hard to use. Combing their expertise in big data analysis and consumer-facing design, the two decided to tackle this problem.
While Datahero is still keeping its user interface out of the public eye, the co-founder told me that the idea here is to make it extremely easy to import data either directly from services the company is partnering with (though they wouldn’t say who they are working with) or from basic CSV files. Datahero will try to figure out how to interpret and display this data in the best possible way. Power users, however, will also be able to go in and manipulate the data and the way it is visualized in any way they want. This, says the company, will allow non-experts to do their own data analysis, something that is currently still hard in most business environments, making this space ripe for disruption.
It’s hard not to look at this product without wondering if this isn’t more of a feature that a company like Salesforce.com, SAP or Microsoft would offer as part of their overall business solutions. Neumann and Zabel, however, argue that what they are doing is more than just a feature, as they are not beholden to any vendor and let users import data from any source they want.
While the company isn’t talking about its plans for the future, it’s pretty obvious that the ambition here goes far beyond pie charts and scatter plots. With its teams’ background in big data analysis, visualization is surely just one of the first areas the company plans to tackle and more advanced analysis tools will surely follow soon.
Filed under: #mktgcloud, Data, Datarati, Marketing Automation, Revenue Performance Management (RPM) | Tags: Data, Datarati, Marketing Automation, Marketo, Revenue Performance Management