Winter 2017 Release Is Now Available

As enterprises grow and adopt best of breed solutions based in the cloud, on-premises and/or hybrid, integrating data between varied applications, databases and data warehouses (used by the enterprise) continues to be a challenge. New solutions are rapidly adopted, and technical and non-technical users alike need help to meet the challenge of quickly integrating the data from multiple sources into one view to make decisions at the speed of business.

snp-76209-winterrelease-484x252-facebookThe release includes several new Snaps and Snap updates that make it faster and easier to integrate Workday, NetSuite and Amazon Redshift with other applications and data sources across the enterprise. All three systems are increasingly popular as businesses embrace the cloud to run their business, a “cloud shift” that Gartner says will drive more than $1 trillion in technology spending by 2020.

Here is a brief overview of new and enhanced Snaps:

  • Confluent KafkaThe need for streaming data becomes more important and today about one-third of the Fortune 500 uses Kafka. SnapLogic is pleased to introduce a new Snap for Confluent’s distribution of Apache KafkaTM, an enterprise-ready solution that connects data sources, applications and IoT devices in real time.
  • TeradataSeveral new Snaps have been added to Teradata Snap Pack expanding support with Teradata TPT Load, TPT Update Snap, and Teradata Export to HDFS Snap which allows customers to easily export data from Teradata to an HDFS cluster without the need for any additional installation or complex configuration.
  • Workday: Workday Read Snap has been enhanced to provide a simplified Workday output format making it even easier to be consumed by downstream systems.
  • NetSuite: Asynchronous operations support for NetSuite, enables more efficient use of NetSuite’s capabilities, through new Snaps including Netsuite Async  Upsert, Async Search, Async Delete List, Async GetList, Check Async Status and GetAsync Result Operations Support Snap.
  • Amazon Redshift: Our customers use Redshift to connect multiple on-premises data sources and applications to Redshift without any coding. The Winter 2017 release introduces a new Snap to execute multiple RedShift commands in one Snap, thereby making RedShift data integration pipelines even more easy to create and manage.
  • Amazon S3: The Winter 2017 release brings additional streaming performance improvement while writing to an Amazon S3 bucket.

Continued Enterprise Focus: Introducing Asset Search Functionality

SnapLogic continues to be the best platform for enterprise IT and LOB teams to integrate applications and data sources without any coding. Enterprises often have thousands of pipelines, files and accounts and it’s hard to search for a given asset. The Winter 2017 release allows customers to quickly search for assets and also filter search outputs.

Security and Performance Enhancements

Security and performance continue to be focus areas for SnapLogic. To further tighten user passwords, the Winter 2017 release enforces enhanced password complexity requirements. Customers can also configure session timeout and idle timeout parameters. In addition, the MongoDB snap pack has been extended to support SSL.

SnapLogic is committed to supporting the growing enterprise’s needs. We hope you will find the new Confluence Kafta snap, expanded support for WorkDay, Netsuite, Amazon RedShift, enhanced search and security useful. Customers can start using the capabilities described in the Winter 2017 release right away. For more information on the Winter 2017 release, including demo videos, see www.snaplogic.com/winter2017.

The need for speed: Why I left Informatica (and you should, too)

guarav_blog_headshotInformatica is one of the biggest, oldest names in enterprise technology. It’s a company I co-founded in 1992 and left over 10 years ago. Although the reasons why I left can be most easily summarized as “disagreements with the board over the direction of the company,” it all boils down to this: aging enterprise technology doesn’t move fast enough to keep up with the speed of today’s business.

About a year after I left, I founded SnapLogic, a company that has re-invented data integration for the modern enterprise — an enterprise that is increasingly living, working and innovating in the cloud. The pace at which enterprises are shifting operations to the cloud is reflected in stats like this: According to Forrester Research, the global public cloud market will top $146 billion in 2017, up from $87 billion in 2015.

Should you ride a horse to the office?

need-for-speedGiven the tidal wave of movement to the cloud, why would a company stick with Informatica? Often, it’s based on decisions made in the last century, when CIOs made strategic commitments to this legacy platform. If you’re the CIO of that shop today, you may or may not have been the person who made that decision, but here you are, running Informatica.

Going forward, does it make sense to keep running the company on Informatica? The truthful answer is it can, just as you can run a modern company on a mainframe. You can also ride a horse to the office. But is it something you should do? That’s where I say “no.” The direct path between a problem and a solution is to use appropriate technologies that are in synch with the problems being solved, in the times and the budget that are available today. That is really the crux of Informatica inheritance versus the SnapLogic future.

It’s true that the core guts of what is still Informatica — the underlying engine, the metadata, the user interface and so on — have to some extent been replenished. But they are fundamentally still fixed in the past. It’s like a mainframe; you can go from water cooling to air cooling, but fundamentally it’s still a mainframe.

The high price of opportunity cost

IT and business people always think about sunk costs, and they don’t want to give up on sunk costs. Informatica shops have invested heavily in the application, and the people, processes, iron and data centers required to run it; these are sunk costs.

But IT and business leaders need to think about sunk opportunity, and the high price their companies pay for missing out because their antiquated infrastructure — of which Informatica is emblematic — doesn’t allow them to move fast enough to seize opportunity when they see it.

Today, most enterprises are making a conscious decision to stop throwing good money after bad on their application portfolios. They recognize they can’t lose out on more opportunities. They are switching to cloud computing and modern enterprise SaaS. As a result, there’s been a huge shift toward solutions like Salesforce, Workday and Service Now; companies that swore they would never give up on-premise software are moving their application computing to the cloud.

Game, set, match point

In light of that, in a world that offers new, ultra-modern technology at commodity prices, you start to realize, “We ought to modernize. We should give up on the sunk costs and instead think of the sunk opportunity of persisting with clunky old technology.”

This is the “match point” that SnapLogic can defend into eternity. Hundreds of our customers around the globe testify to that. Almost all of these companies had some flavor of Informatica or its competitor, and they have made the choice to move to SnapLogic. Some have moved completely, in a big bang, and others have side-by-side projects and will migrate completely to SnapLogic over time.

Need more reasons to move fast? Read SnapLogic’s new whitepaper that captures my conversation with James Markarian, SnapLogic’s CTO and also an Informatica alumnus: “We left Informatica. Now you can, too.”

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James Markarian: Was the Election a Referendum on Predictive Analytics?

In his decades working in the data and analytics industry, SnapLogic CTO James Markarian has witnessed few mainstream events that have sparked as much discussion and elicited as many questions – around the value and accuracy of predictive analytics – as our recent election.

In a new blog post on Forbes, James examines where the nation’s top pollsters (who across the board predicted a different election outcome) possibly went wrong, why some predictions succeed and others fail, what businesses who have invested in data analytics can learn from the election, and how new technologies such as integration platform as a service (iPaaS) can help them make sense of all their data to make better predictions.

Be sure to read James’s blog, titled “What The Election Taught Us About Predictive Analytics”, on Forbes here.

7 Data Predictions for 2017

As data increasingly becomes the means by which businesses compete, companies are restructuring operations to build systems and processes liberating data access, integration and analysis up and down the value chain. Effective data management has become so important that the position of Chief Data Officer is projected to become a standard senior board level role by 2020, with 92 percent of CIOs stating that a CDO is the best person to determine data strategy.

With this in mind as you evaluate your data strategy for 2017, here are seven predictions to contemplate to build a solid framework for data management and optimization.

  1.  Self-Service Data Integration Will Take Off
    Eschewing the IT bottleneck designation and committed to being a strategic partner to the business, IT is transforming its mindset. Rather than be providers of data, IT will enable users to achieve data optimization on a self-service basis. IT will increasingly decentralize app and data integration – via distributed Centers of Excellence based on shared infrastructure, frameworks and best practices – thereby enabling line-of-business heads to gather, integrate and analyze data themselves to discern and quickly act upon insightful trends and patterns of import to their roles and responsibilities. Rather than fish for your data, IT will teach you how to bait the hook. The payoff for IT: satisfying business user demand for fast and easy integrations and accelerated time to value; preserving data integrity, security and governance on a common infrastructure across the enterprise; and freeing up finite IT resources to focus on other strategic initiatives.
  1. Big Data Moves to the Cloud
    As the year takes shape, expect more enterprises to migrate storage and analysis of their big data from traditional on-premise data stores and warehouses to the cloud. For the better part of the last decade, Hadoop’s distributed computing and processing power has made it the standard open source platform for big data infrastructures. But Hadoop is far from perfect. Common user gripes include complexity and instability – not all that surprising given all the software developers regularly contributing their improvements to the platform. Cloud environments are more stable, flexible, elastic and better-suited to handling big data, hence the predicted migration.
  1. Spark Usage Outside of Hadoop Will Surge
    This is the year we will also see more Spark use cases outside of Hadoop environments. While Hadoop limps along, Spark is picking up the pace. Hadoop is still more likely to be used in testing rather than production environments. But users are finding Spark to be more flexible, adaptable and better suited for certain workloads – machine learning and real-time streaming analytics, as examples. Once relegated to Hadoop sidekick, Spark will break free and stand on its own two feet this year. I’m not alone in asking the question: Hadoop needs Spark but does Spark need Hadoop?
  1. A Big Fish Acquires a Hadoop Distro Vendor?
    Hadoop distribution vendors like Cloudera and Hortonworks paved the way with promising technology and game-changing innovation. But this past year saw growing frustration among customers lamenting increased complexity, instability and, ultimately, too many failed projects that never left the labs. As Hadoop distro vendors work through some growing pains (not to mention limited funds), could it be that a bigger, deeper-pocketed established player – say Teradata, Oracle, Microsoft or IBM – might swoop in to buy their sought after technology and marry it with a more mature organization? I’m not counting it out.
  1. AI and ML Get a Bit More Mainstream
    Off the shelf AI (artificial intelligence) and ML (machine learning) platforms are loved for their simplicity, low barrier to entry and low cost. In 2017, off the shelf AI and ML libraries from Microsoft, Google, Amazon and other vendors will be embedded in enterprise solutions, including mobile varieties. Tasks that have until now been manual and time-consuming will become automated and accelerated, extending into the world of data integration.

6. Yes, IoT is Coming, Just Not This Year
Connecting billions and billions of sensor-embedded devices and objects over the internet is inevitable, but don’t yet swallow all the hype. Yes, there is a lot being done to harness IoT for specific aims, but the pace toward the development of a general-purpose IoT platform is closer to a canter than a gallop. IoT solutions are too bespoke and purpose-built to solve broad, commonplace problems – the market still nascent with standards gradually evolving – that a general-purpose, mass-adopted IoT platform to collect, integrate and report on data in real-time will take, well, more time. Like any other transformation movement in the history of enterprise technology, brilliant bits and pieces need to come together as a whole. It’s coming, just not in 2017.

  1. APIs Are Not All They’re Cracked Up to Be
    APIs have long been the glue connecting apps and services, but customers will continue to question their value vs investment in 2017. Few would dispute that APIs are useful in building apps and, in many cases, may be the right choice in this regard. But in situations where the integration of apps and/or data is needed and sought, there are better ways. Case in point is iPaaS (integration platform as a service), which allows you to quickly and easily connect any combination of cloud and on-premise technologies. Expect greater migration this year toward cloud-based enterprise integration platforms – compared to APIs, iPaaS solutions are more agile, better equipped to handle the vagaries of data, more adaptable to changes, easier to maintain and far more productive.

I could go on and on, if for no other reason that predictions are informed “best guesses” about the future. If I’m wrong on two or three of my expectations, my peers will forgive me. In the rapidly changing world of technology, batting .400 is a pretty good statistic.

Future Data Movement Trends with SnapLogic

Data volumes are exponentially increasing and many organizations are starting to realize the complexity of their growing data movement and data management solutions. Data exists in various systems, and getting meaningful value out of it has become a major challenge for many companies. Also, most of the data is usually stored in relational systems like MySQL, PostgreSQL and Oracle, these being the mainstream databases primarily used for OLTP purposes. NoSQL systems like Cassandra, MongoDB and DynamoDB have also emerged with tunable consistency model in order to store some of these mission critical data. Customers then typically move these data to much bigger systems like Teradata and Hadoop (OLAP) that can store large amounts of data, so they can run analytics, reporting or complex queries against it. There is also a recent trend where some of these data are moved to the cloud, especially to Amazon RedShift or Snowflake and also to HDInsights or Azure Data Warehouse.

Continue reading “Future Data Movement Trends with SnapLogic”

SnapLogic CEO Gaurav Dhillon Shares His “Founder Story” with Ignition Partners

Founding a startup is not for the faint of heart. Raising capital, building product, managing teams, winning customers, fending off competitors — the list goes on and on. Every successful entrepreneur knows you can’t go it alone, you’ve got to find strategic, committed, supportive partners that will help you through the tough times and propel you forward in good times.

SnapLogic found exactly that in Ignition Partners back in 2012. In the trenches together now for the past four years, the two have grown SnapLogic into what it is today and look forward to helping the company along its path to becoming a world-class cloud software company for the ages.

Reflecting on the partnership, SnapLogic founder and CEO Gaurav Dhillon sat down with the team from Ignition to share his thoughts on the daunting fundraising process, overcoming bumps in the road, and why Ignition is the ideal partner for SnapLogic. Gaurav is joined in the “Founder Stories” video by other Ignition portfolio executives including Laura Mather of Unitive, Godfrey Sullivan and Erik Swan of Splunk, Kumar Sreekanti of BlueData, Jonathan Gray of Cask and Amy Chang of Accompany.

Below are excerpts from Gaurav’s conversation with Ignition Partners.

On the daunting fundraising process:

“Your product gets examined, people need to take apart the idea and put it together again in front of your eyes. For a lot of founders and entrepreneurs, it’s very difficult to have someone sort of decompose your baby right in front of you.”

On what makes for a good venture partner:

“There are certain firms and certain partners who approach you as ‘the boss’; no bad news is ever allowed. The joke in the Valley is if you take money from ‘that guy’ you need a ‘VP of Management of That Guy’.”

On overcoming bumps in the road:

“At SnapLogic, we had to make some tough choices, we had to really take a different product approach than we had started with.”

On why SnapLogic partnered with Ignition Partners:

“A lot of folks in the venture capital business are well connected but less and less of them have the sense for how to build a great company, how to build something that is durable, who really take pleasure in helping someone grow. That’s when you start to say – ‘who’s going to be the best person for us on our journey’. And make no mistake, all companies, especially successful ones, are on a journey and they have to deal with the twists and turns of what is going to happen in the marketplace. In the case of Ignition, this team had all come from operational backgrounds, they had been in my shoes, they had run big products and big companies.”

To watch the full videos, please click here and here.

 

 

SnapLogic Sits Down with theCUBE at AWS re:Invent to Talk Self-Service Cloud Analytics

SnapLogic was front-and-center at AWS re:Invent last week in Las Vegas, with our team busier than ever meeting with customers and prospects, showcasing our solutions at the booth, and networking into the evening with event-goers interested in all things Cloud, AWS integration and SnapLogic.

Ravi Dharnikota, SnapLogic’s Head of Enterprise Architecture and Big Data Practice, took time out to stop by and visit with John Furrier, co-founder of the live video interview show theCUBE.  Ravi was joined by Matt Glickman, VP of Products with our partner Snowflake Computing, for a wide-ranging discussion on the changing customer requirements for effective data integration, SaaS integration, warehousing and analytics in the cloud.  

The roundtable all agreed — organizations need fast and easy access to all data, no matter the source, format or location — and legacy solutions built for a bygone era simply aren’t cutting it.  Enter SnapLogic and Snowflake, each with a modern solution designed from the ground-up to be cloud-first, self-service, fully scalable and capable of handling all data. Customers using these solutions together — like Kraft Group, owners of the New England Patriots and Gillette Stadium — enjoy dramatic acceleration in time-to-value at a fraction of the cost by eliminating manual configuration, coding and tuning while bringing together diverse data and taking full advantage of the flexibility and scalability of the cloud.

To make it even easier for customers, SnapLogic and Snowflake recently announced tighter technology integration and joint go-to-market programs to help organizations harness all data for new insights, smarter decisions and better business outcomes.

To watch the full video interview on theCUBE, click here.