Joe Pasqua

Most Posts By Joe Pasqua

Challenging the Database Giants: 9 Reasons MarkLogic is Winning

The reason why MarkLogic is winning against the giants of the database industry – we listen to our customers. Faster time to value, lower costs, more agility, more sharing & the ability to run anywhere.

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MarkLogic 9 Early Access Award Winners

Meet the Early Access partners who worked by our side to help make MarkLogic 9 more powerful, more secure and more manageable.

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Not All NoSQL Is Created Equal — Here’s What to Consider

There was a time when using NoSQL was a risk to your business. Now it is a risk not to use NoSQL. But not all NoSQL is equal!

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Yes, NoSQL Can Be Secure

NoSQL is known for allowing speed and agility. But at what price? Can you have security and privacy too? Here’s the secret weapon the biggest enterprises have found.

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You’re Solving the Wrong Problem

You have a superb team that wrings every last efficiency out of your ETL processes. That’s great – but they’re solving the wrong problem. The issue isn’t how to shave more off the cost of ETL, it’s that you have to work so hard in the first place.

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Oracle’s Perplexing Defense to the Rise of NoSQL: Blindspot or Lack of Vision?

German philosopher, Arthur Schopenhauer once said, “All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident.” When it comes to NoSQL, it appears that Oracle is trying to cover all of the bases. In a recent eWEEK article outlining a perplexing argument against NoSQL, Oracle ridiculed NoSQL, […]

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MarkLogic 8 Provides JavaScript, Bitemporal & Inferencing

We’ve announced a ton of cool new features in the upcoming MarkLogic® 8 software release. In fact, we’ve done more than just announce them. We already have very early versions of some of them available through our Early Access program. I want to tell you about three main feature areas that I find really exciting: […]

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Schema-on-Read vs Schema-on-Write

For decades now the database world has been oriented towards the schema-on-write approach. First you define your schema, then you write your data, then you read your data and it comes back in the schema you defined up-front. This approach is so deeply ingrained in our thinking that many people would ask, “how else would […]

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