Rubrik acquires Datos IO to expand into NoSQL database management support

@Rubrik acquires @DatosIO to expand into @NoSQL database management support Posted 10 hours ago by Ingrid Lunden (@ingridlunden) Rubrik, the enterprise startup that provides #data #backup and recovery services across cloud and on-premise environments, is putting some of the funding that it raised last year at a $1.3 billion valuation to use. Rubrik has acquired NoSQL data backup specialist Datos IO, the company announced today, in what appears to be Rubrik’s first acquisition. The financial terms of the deal are not being disclosed (we’re asking) but according to PitchBook it looks like Datos IO would have been valued at least $45 million after its last round in May 2017 (pre-money valuation of $40.5 million, with its final round valued at $4.6 million). Rubrik says that Datos IO will continue to be led by its co-founder and CEO Tarun Thakur, and it will exist as a new business unit called Datos IO. Like Rubrik, Datos IO is a specialist in backup and recovery, but with a specific focus on NoSQL databases such as MongoDB, Cassandra, Couchbase and Amazon DynamoDB, and other big data file systems like Cloudera and Hortonworks by way of its flagship product RecoverX. These are increasingly getting adopted by large, Fortune 500-type organizations — and Datos IO has become a significant player, counting three of the Fortune 15 companies and the world’s largest home improvement retailer among its customers. As such, Rubrik is buying Datos IO to help expand its business in that sector. “As enterprises adopt NoSQL cloud databases to undertake digital transformation and AI initiatives, the need to manage and recover applications and data is becoming top of mind,” said Bipul Sinha, Rubrik’s co-founder and CEO, in a statement. “We are excited to have Datos IO join the Rubrik family to accelerate innovation in how enterprises manage and recover this modern application stack.” Interestingly, when Rubrik raised its large round of funding in April last year, Sinha said that it was unlikely that he and the startup would be making any acquisitions as a result. “This is not our focus,” he said when I asked about buying smaller fish to expand the product offering. “We believe in innovation and are still a young company and want to continue the pace of acceleration.” However, when you consider Rubrik’s roots — essentially playing in that gap between large companies’ existing, legacy on-premise data and workloads, and their newer cloud-based services, providing a backup for everything by way of an on-premise appliance — it’s notable that the company is buying Datos IO. It represents a leap forward for Rubrik as it looks to take on more “new” deployments, if not altogether young businesses. “We founded Datos IO with a vision of building a next-generation data management platform for cloud-native data sources to ensure elasticity, orchestration and data mobility,” said Tarun Thakur, Co-Founder and CEO, Datos IO, in a statement. “Datos IO delivers critical backup and recovery capabilities for cloud-native applications and databases. Rubrik and Datos IO share a common vision of cloud data management and are committed to helping customers on their digital transformation journey.” In other words, with more and more going into the cloud, Rubrik had to follow. Examples of functions and services that are covered in Datos IO’s recovery and backup services include Internet of Things deployments, artificial intelligence/machine learning platforms, real-time analytics, eCommerce, security services and mobile analytics. Another point in common is that the two companies happen to share an investor, Lightspeed Venture Partners, where Sinha has also worked as a venture partner for years. It’s not clear how much of a role Lightspeed played in making the connection here (we are asking about this too). In any case, Datos IO had caught the attention of a number of other strategic players, with both Cisco and NetApp investing the company’s venture round in May 2017. Other investors include True Ventures, CF, Engineering Capital and Semil Shah. Rubrik itself has raised around $292 million to date, with investors including IVP, Greylock, Khosla and Kevin Durant (yes, that Kevin Durant).

https://techcrunch.com/2018/02/06/rubrik-acquires-datos-io-to-expand-into-nosql-database-management-support/

NewSQL databases rise anew -- MemSQL, Spanner among contenders

The #NewSQL #database was almost hidden when @Hadoop and @NoSQL arose. Now, as more big data teams move toward production uses, #MemSQL, #CloudSpanner and similar products may get a second look.

It was something of a sleeper amid a rowdy group of new data management technologies, but #NewSQL is new again. NewSQL #databases put special emphasis on SQL transactions, with atomicity, consistency and other processing attributes. At the same time, they distribute data workloads in a new style pioneered by @Google, @Yahoo and others. As attention was poured on Hadoop and NoSQL in the early years of this decade, NewSQL database alternatives plugged away quietly. Fast forward to today, and the raucous NoSQL and Hadoop crew has taken on more and more SQL traits. For this and other reasons, NewSQL may be getting a second look in some quarters. As with the more ballyhooed Hadoop and NoSQL alternatives, global data distribution, real-time analytics and machine learning are the key drivers. Among the NewSQL players -- each with a different technology twist -- are @Clustrix Inc., @NuoDB Inc., @SpliceMachine and @VoltDB Inc. Each has been busy enhancing its NewSQL database. Clustrix recently increased its support for cluster resiliency. NuoDB improved its query optimizer. VoltDB expanded a program offering access to its enterprise version for development and testing. And @SpliceMachine launched its database platform on the @AmazonWebServices Marketplace.

http://searchdatamanagement.techtarget.com/feature/NewSQL-databases-rise-anew-MemSQL-Spanner-among-contenders

Despite big losses and big competition, database firm MongoDB files for an IPO

New York City-based database company MongoDB Inc. today formally announced its plans to launch an initial public offering. MongoDB, which develops open-source database software including its namesake #MongoDB #NoSQL database, submitted its IPO plans on Thursday, confirming reports that emerged in August that it was planning to do so. Those reports came after the Wall Street Journal reported in May that the company had hired the Goldman Sachs and Morgan Stanley to act as underwriters. MongoDB’s business model is based around selling sophisticated tools for the open-source software it develops. The idea is that companies begin using its basic software for free, then agree to pay a subscription for all of the paid add-ons MongoDB provides to ensure a better experience using that software. It’s a similar model to Hadoop big-data software provider Cloudera Inc., which also went public earlier this year. The problem for MongoDB is that it’s still losing big money on that model. In its filing, the company provided detailed financial information for the first time, reporting that it lost $45.8 million loss on revenue of $68 million in the six-month period that ended in July. However, that loss was only a fraction of a million dollars more than the same period a year ago, when its revenue was just $45.1 million, demonstrating that the company’s losses relative to revenue are narrowing. Whether the company can ever achieve a profit remains up in the air, however. Holger Mueller, principal analyst and vice president of Constellation Research Inc., said MongoDB has made all of the right moves so far, shifting from an open-source services model to more of a cloud-based, next-generation database player. But he questioned whether the company would be able to sustain the growth its shown over the last year. “The IPO filing shows that management is confident in its ability to deliver growth for the foreseeable future,” Mueller said, who hasn’t heard of any short-term issues with MongoDB’s growth ambitions. “Then again, things are never easy and steady-state in enterprise software.” The difficulty of making a profit in such a competitive market probably explains MongoDB’s decision to go public in the first place. After all, the company will need further capital to keep growing in hopes of turning a profit on the higher revenues at some point. To that end, MongoDB has indicated it’s looking to raise as much as $100 million from the IPO, though that figure could be a placeholder. Well-timed MongoDB’s move also appears to be well-timed, as 2017 has proven to be a livelier one for IPOs in general, coming after a much-publicized IPO drought the previous year. “When you compare the tech IPO market over the last few years, 2017 has been a strong one for startups, and it is indicative of a larger shift in the industry, particularly with regards to cloud technology,” said Ramin Sayer, chief executive officer of Sumo Logic, a provider of log management and analytics services that partners with MongoDB. “Now more than ever, the shift to the cloud and industrywide adoption of other emerging technologies has created an opening for companies like MongoDB to move beyond legacy companies and databases and capitalize on the complex and evolving requirements of business applications.” Indeed, related open-source companies are looking at MongoDB’s IPO hopefully. “MongoDB’s IPO further validates the story, not only around open source technologies and their adoption by the enterprise but the vibrant commercial success of open source-focused businesses,” said Joe McCann, CEO of NodeSource, which makes a software development toolkit for the node.js programming language. Still, despite Ramin’s optimistic view, MongoDB is taking a bit of a gamble as the results of POs this year have been fairly hit and miss, with companies such as Snap Inc. and Blue Apron struggling while the likes of Cloudera and MuleSoft Inc. have managed to stay above their IPO price. It remains to be seen if investors will be willing to make a bet on MongoDB. In addition to the concerns over its profitability, #MongoDB also faces incredibly stiff competition in what is a very crowded database service market. Rivals that offer their own #NoSQL database alternatives include public cloud giants such as #AmazonWeb #Services Inc. and #MicrosoftAzure, and then there’s #Oracle Corp. with its legacy database offering, which MongoDB itself said is its biggest target. “We believe Oracle is incredibly vulnerable because they’ve lost the developer’s heart and soul,” MongoDB Chief Executive Officer Dev Ittycheria said earlier this year. The company was valued at $1.6 billion as of January 2015, according to data from PitchBook. Venture investors included Flybridge Capital, Sequoia Capital and Union Square Ventures.

https://siliconangle.com/blog/2017/09/21/despite-big-losses-database-firm-mongodb-files-ipo/

Hortonworks Processes SQL in Memory on Hadoop

For all the hype surrounding the #NoSQL movement, SQL remains the lingua franca for queries across both relational and other types of emerging databases. In fact, one of the fastest growing use cases for SQL is on top of #Hadoop clusters. This week, #Hortonworks underscored that point at a Dataworks Summit/Hadoop Summit Munich conference via a release to the Hortonworks Data Platform (HDP) that adds support for an instance of Apache Hive 2.0 with Live Long and Process (LLP) capabilities that runs in memory. Rather than having to invest in a commercial relational database, Hortonworks CTO Scott Gnau says HDP 2.6 provides all the advantages of SQL running on a platform that can handle several orders of magnitude more data. Because Hive 2.0 LLP runs in memory, any query against that data can now be processed in the sub-second range, says Gnau. Armed with these capabilities, Gnau says, many IT organizations will increasingly be migrating analytics applications off relational databases in favor of directly accessing data stored in Hadoop.

http://mobile.itbusinessedge.com/blogs/it-unmasked/hortonworks-processes-sql-in-memory-on-hadoop.html

Big data technology market speeding up – with NoSQL and Hadoop at forefront

The #bigdata technology landscape is varied and vast – and a new report from Forrester examines the key strands, with non-relational databases taking the bulk of the honours. The report, claimed to be a first of its kind from the analyst firm titled Big Data Management Solutions Forecast 2016 to 2021, argues #NoSQL and #Hadoop will see the biggest growth during the five year period, with the markets growing 25.0% and 32.9% per year respectively. The analysts also claim that the big data technology space will grow at three times the rate of the overall technology market. Forrester defines big data technology in six buckets; enterprise data warehousing, NoSQL, Hdaoop, big data integration, data virtualisation, and in-memory data fabric. The latter, a product which usually offers data, compute and service grids as well as an in-memory database, is predicted to grow at 29.2% annually over the coming five years. Usage varies by industry, but the report notes that while telecommunications, professional services, finance and government are the largest users of these technologies now, the pharmaceutical, transport and primary production industries will be the quickest growing. Almost 40% of firms polled by Forrester say they are implementing and expanding their big data technology adoption, with another 30% planning to up their usage in the next 12 months.
http://www.forbes.com/sites/bernardmarr/2016/10/03/big-data-news-the-top-insights-from-strata-hadoop-world-2016-in-new-york/#504e5878620e

Big data booming, fueled by Hadoop and NoSQL adoption

#Bigdata has finally hit its stride, and will explode in growth over the next five years, according to a Forrester Research report released Thursday. In the past five years, big data has moved from "buzzword" to "standard business practice," the report said, and will continue its climb. "In 2016, almost 40% of global data and analytics decision-makers say their firms are implementing as well as expanding big data technology and solutions, and another 30% are planning to adopt big data in the next 12 months," the report said. Because of this explosion in the use of big data, the market for solutions to manage and deploy these tools has also increased in size. Overall, Forrester predicts this solutions market will grow at a 12.8% compound annual growth rate (CAGR) from 2016-2021. According to the report, these solutions could include enterprise data warehouse, #NoSQL, #Hadoop, big data integration, data virtualization, and in-memory data fabric.

http://www.techrepublic.com/article/big-data-booming-fueled-by-hadoop-and-nosql-adoption/

MapR Achieves Highest Ranking for Current Offering in Big Data NoSQL Report by Independent Research Firm

SAN JOSE, Calif.--(BUSINESS WIRE)-- #MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced it was named a Leader by Forrester Research, Inc., in the report, “The Forrester Wave™: #BigData #NoSQL, Q3 2016.” Forrester evaluated 26 criteria categorized by current offering, strategy and market presence. MapR achieved the highest score for current offering among all reviewed vendors.

As stated in the report, Leaders offer credible support for large and complex deployments. Noel Yuhanna, principal analyst at Forrester, wrote, “MapR-DB is a #NoSQL database that’s part of the MapR Converged Data Platform…its unique capability is running NoSQL operations, #Hadoop analytics, and event stream processing in the same cluster. Customers like its ability to support petabyte scalability, integration with Hadoop, data consistency, multimaster replication, and responsive data access. Customers are using MapR-DB for many use cases, including a 360-degree view of customer, fraud detection, social networking, gaming, big data analytics, mobile, and #IoT .”
http://www.businesswire.com/news/home/20160817005983/en/MapR-Achieves-Highest-Ranking-Current-Offering-Big

3 reasons Hadoop is a perfect fit for your Big Data environment

We live in a world that is driven by information. There is literally a flood of information flowing into our organizations today. It is known as big data. Traditional database software no longer has the capacity to manage this immense volume of data. Thankfully, innovators have come up with new database software that can store, manage and disseminate this data. This software makes it necessary for database administrators(DBAs) and application developers to learn new skills so that they can manage them.  What is this new database software technology? Traditionally, we used relational databases to store and manage data. These database systems relied on a Structured Query Language (SQL) framework to accomplish this. Examples of these database software are #Microsoft Access, #MySQL and #Oracle RAC. Since the emergence of big data, relational database software’s are getting phased out. This is because it is inefficient to organize big data into the structured tables used in this type of database software. Only small and medium amounts of data can be organized into this structured format. The immense volume of big data would take forever to organize in this way. Therefore, traditional database software is not scalable enough to handle big data. For this purpose, #NoSQL database software was invented.

http://www.ciol.com/3-reasons-hadoop-is-a-perfect-fit-for-your-big-data-environment/

Splice Machine 2.0 combines HBase, Spark, NoSQL, relational...and goes open source

In the worlds of #BigData, #NoSQL and relational databases, #Splice Machine's name doesn't come up that often. But a closer look at the company's product, architectural approach and CEO put them on my radar a while back. And Version 2 of the product, which is being announced today, has made that radar dot much brighter. #Hadoop
Have RDBMS cake, eat NoSQL scaling, too
Before we look at version 2, let's cover the motivation behind v1. Specifically, Splice Machine looked long and hard at some pressing database conundrums:

The relational database model (along with SQL) works well -- best, in fact -- in many circumstances, but scaling it has always been hard.NoSQL databases are much easier to scale but the schema-less model and lack of "ACID" (Atomicity/Consistency/Isolation/Durability) guarantees can be disorienting.Hadoop scales well too, and its HDFS file system has become an important storage standard, but Hadoop's batch model can also cause dissonance for relational database professionals

The solution: create an ACID-compliant, SQL relational database on top ofApache HBase -- a NoSQL database that uses HDFS as its storage layer. Now you've got SQL, the relational model, ACID/transactional consistency, horizontal scaling and HDFS, all in one product

http://www.zdnet.com/article/splice-machine-2-0-combines-hbase-spark-nosql-relational-and-goes-open-source/

Dataguise DgSecure 6.0 Release Offers Sensitive Data Monitoring

#Dataguise has released Dataguise DgSecure 6.0, a monitoring solution for all data source types which allows users to detect, protect, and access sensitive data. #DgSecure provides the ability to discover, count, and report on sensitive data assets in real time wherever they live or move across data repositories, on premises and in the cloud. It’s a highly scalable and customizable solution, finding and summarizing sensitive data at the element level. The solution offers pre-defined templates for sensitive data types to build security policies, and build customized sensitive data elements through a regular expression (regex) pattern builder. DgSecure then combs through structured, semi-structured, or unstructured content (across databases, #Hadoop, #Teradata, #Cassandra, #NoSQL, files, and #SharePoint), and finds sensitive data. DgSecure’s Hadoop solution takes advantage of Hadoop’s parallel processing power, and works with all major Hadoop file types. The company support’s all major Hadoop distributions including #Cloudera, #Hortonworks, #MapR, #Pivotal, #Amazon EMR/S3 and #Microsoft #Azure #HDInsight.

https://appdevelopermagazine.com/4155/2016/7/9/Dataguise-DgSecure-6.0-Release-Offers-Sensitive-Data-Monitoring/

Hadoop Public Cloud Service; Couchbase Updated: Big Data Roundup

Big Data-as-a-service provider #BlueData embraced the enterprise, #NoSQL database provider #Couchbase rolled out a new version that bridges the relational and NoSQL gap, #Samsung bets big on IoT research in the US, and #Dell has sold #Statistica to a private equity firm in this week's Big Data Roundup.

Let's start with the news from BlueData. This Santa Clara, California-based company has specialized in enabling big data-as-a-service, letting organizations spin up virtual Hadoop or Spark clusters and providing on-demand access to applications, data, and infrastructure to data scientists and data analysts.

This week BlueData announced that the enterprise edition of its BlueData EPIC software will run on #Amazon Web Services (AWS), #Microsoft #Azure, #Google Cloud Platform, and other public cloud services.

http://www.informationweek.com/big-data/hadoop-public-cloud-service-couchbase-updated-big-data-roundup/d/d-id/1326058