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Clustrix and Zettaset Partner for Performance-Optimized RDBMS Encryption

Big data security specialist Zettaset delivers the data protection, scalability and performance to support ClustrixDB’s scale-out SQL and massive throughput

San Francisco, Calif. - Jan 11, 2017 - Clustrix, the leader in scale-out SQL and Zettaset, the leader in Big Data security, today announced a business and technology partnership that will transform data protection and privacy for companies that rely on large-scale OLTP databases. The benefits of the relationship are now available to customers who can seamlessly and securely deploy ClustrixDB 8.0 with the Zettaset Big Data Encryption Suite, to achieve the highest level of security, performance optimized for large-scale distributed computing and storage environments. A drop-in replacement for MySQL, ClustrixDB powers some of the world’s most dynamic web applications with its scale-out, in-memory performance capabilities to ensure peak performance through heavy concurrent traffic. As the number of cyberattacks on online companies continues to rise, these sites also need to secure their customers’ data. The Clustrix/Zettaset partnership enables them to meet the most stringent security requirements without compromising either throughput or scalability.

Protecting your database shouldn’t decrease performance

“When it comes to securing an RDBMS, the status quo that companies are used to dealing with is akin to medieval knights–the more encryption ‘armor’ you add to your application, the slower you are,” said Mike Azevedo, CEO, Clustrix. “Working with Zettaset however, we’re enabling companies to secure their applications without weighing down performance.” Zettaset Big Data Encryption (BDEncrypt) is an advanced, high-performance, volume-level encryption solution that is optimized for terabyte-scale data environments, and can be readily deployed on-premises and in the cloud. Zettaset BDEncrypt is the solution of choice for customers working with high volumes of sensitive data who must adhere to regulatory and/or corporate compliance mandates for data privacy and protection. “Unlike legacy data security technologies, our entire encryption product line has been designed from the ground up to secure and protect massive volumes of data, both at-rest and in-motion, without negatively impacting business application performance in the enterprise or cloud,” said Zettaset CEO Jim Vogt. “Zettaset BDEncrypt is a perfect fit for ClustrixDB power users who need a data protection solution that matches the high-transaction performance requirements of their database environment.” According to the companies, these capabilities—combined with Clustrix’s unique ability to scale out SQL to accommodate for the overhead of encryption by merely adding nodes—set the stage for a partnership that will deliver solutions that meet the demands tomorrow’s businesses will face.

Highly scalable, performance-optimized security is available now

The joint Clustrix-Zettaset solution is available now, and will provide ClustrixDB users with:
  • A highly scalable, performance-optimized big data encryption solution for deployment on-premises or in the cloud
  • Encryption protection for data-in-motion between Clustrix DB servers
  • Encryption protection for data-at-rest on ClustrixDB servers
  • A complete software-based encryption approach that also includes integrated key management and hardware security module (HSM) capabilities
  • Advanced Encryption Standard (AES) 256-bit encryption, the highest level attainable

About Zettaset

Zettaset, the leader in Big Data security, provides proven enterprise-class data privacy and protection for Relational, Object, NoSQL, and Hadoop data environments. Unlike traditional security approaches, Zettaset data protection solutions are designed and performance-optimized for today’s complex and demanding distributed-computing architectures and elastic cloud environments. Enterprise customers can rely on Zettaset to provide advanced Big Data security solutions that deliver high performance and scalability, while easily fitting into existing enterprise IT security and policy frameworks. Visit us at 451 Research Report Extols Clustrix’ Performance Boost from In-memory Processing

Performance, Deployment, Security Upgrades Meet Growing Demand for Simpler DBMS Approach

San Francisco, Calif. - Dec 22, 2016 - Clustrix (, provider of the first scale-out database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s web applications, was featured in a report by 451 Research about their addition of in-memory processing for 300% performance boost. In the report Jason Stamper, Analyst, Data Management and Analytics for 451 Research, highlighted ClustrixDB 8.0’s tripling of performance for in-memory bulk data ingest, streaming application in-memory processing, and high-volume aggregate processing, referring to these capabilities as “no mean feat for a database that could already automatically scale out across nodes in a cluster.” The report provides validation that the improvements in ClustrixDB 8.0 meet growing industry demand for a database that excels along multiple dimensions. “Increasingly customers with web applications need not just massive scalability, but faster throughput too,” said Mike Azevedo, CEO Clustrix. “That was our guiding principle in 8.0, and we’re gratified that 451 Research has confirmed the value in our approach.” In the report, Stamper also highlighted:
  • The ability to store data in memory or on disk without separate coding needs
  • Ability to easily deploy in any cloud and scale across additional nodes (one node added with one click), which he suggests is why “ClustrixDB is proving to be popular with companies deploying web applications, where scalability requirements can change quickly and latency issues can cause customers to abandon their shopping carts and go elsewhere”
  • Full containerization for easier installation and deployment
  • Ability to encrypt data at rest with Advanced Encryption Standard (AES) 256-bit encryption (a worldwide standard adopted by the US government)
  Black Friday and Cyber Monday Gives Reality Check on Limits of Old-School Databases

Clustrix Points to Scale-out SQL as the Solution for Black Friday, Cyber Monday

San Francisco, Calif. - Nov 29, 2016 - Clustrix, provider of the first database that can scale-out linearly and is designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s web applications, observed some of the website performance problems experienced on Black Friday and Cyber Monday, and commented on the database-rooted challenges leading up to these snafus. Macy’s, according to the Mercury News “… suffered service disruptions on Black Friday, dealing a setback to a company trying to persuade customers — and investors — that it can handle more online traffic.” This was particularly problematic, the article says, as the company has been shuttering brick-and-mortar locations and placing its focus online. Victoria’s Secret experienced similar “un-sexy” problems, as did Express, Game, Quidco, Dell, Curry’s PC World and Takealot. Problems like these can cost not just the companies, but the economy as a whole, and could diminish overall spending by trillions of dollars. And while perhaps unrelated to Cyber Monday but timed to be released on the same day, Fandango’s first day of online sales for tickets to the new standalone Star Wars film, “Rogue One” caused similar website problems: “Shortly after tickets went on sale, customers reported experiencing long wait times, time-outs and overall failures while trying to access Fandango.”

Addressing everything other than the fundamental problem

According to Clustrix, companies that continue to use old-school MySQL and its various variants and alternatives are relying on tools that aren’t up to the job of scaling to millions of concurrent transactions. The fact that these solutions aren’t designed to scale out linearly with the help of additional nodes means that they’re forever hindered by its inherent performance limits. DBAs may do their best to stretch and expand the limits of these databases with complex and demanding processes such as sharding and other replication strategies like using read-slaves. However, according to Clustrix CEO Mike Azevedo: “Because these approaches are so complicated and require so much time from so many smart people is exactly why these strategies are doomed to fail. With some tinkering they may be able to scale past their performance ceiling, but every time sharding or read-slaves are employed, your risk of something going wrong grows.”

A predictable outcome: poor site performance

Clustrix has been correct in its prognostications regarding site failures, having predicted the difficulties experienced during Amazon Prime Day, and explained why it happened afterward. “Databases can’t keep up with the onslaught of traffic, and customers take to the web to complain about slow checkouts, disappearing cart items and website crashes,” said Azevedo.

Scaling beyond the limits of Aurora and Cloud SQL

Companies, however, have options. A MySQL compatible DBMS that can scale out linearly by simply adding nodes can enable websites to maintain peak performance through extremely taxing spikes in traffic and concurrent transactions. Martin Heller recently called out the tremendous benefits of ClustrixDB’s ability to scale out linearly by adding server nodes in his Infoworld review: “ClustrixDB scales out, way out—Clustered relational database outperforms Amazon Aurora for low-latency, high-transaction-rate scenarios”. Clustrix to Showcase Scale-out SQL Database at AWS re:Invent

Silver Sponsor Showcases Scale-out SQL, Raffles Fitbit Flex 2s

San Francisco, Calif. - Nov 21, 2016 - Clustrix, which offers a scale-out SQL database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s web applications, announced it will be a Silver Sponsor of the Amazon Web Services (AWS) re:Invent 2016 conference, taking place in Las Vegas, November 28 to December 2. Drop by booth 2040 for a look at how its high-transaction, high-concurrency scale-out database achieves 10 times the performance of other MySQL-compatible DBMS’s.

Win a FitBit Flex 2 and keep your website fit and flexible too

Clustrix will raffle Fitbit Flex 2s to remind attendees that the database engine powering their web applications has to be fit and flexible in order to meet the intense, unpredictable demands of today’s economy. “Our ‘Flex’ feature provides the ability to flex up to peak traffic and flex down when traffic returns to normal. In the cloud age, there’s no reason for companies to continue to pay for more database capacity than they actually use, said Mike Azevedo, CEO, Clustrix.

The database for the most active workloads

ClustrixDB scales reads, writes, updates and analytics near linearly as you add nodes–even under massive transaction volumes and highly concurrent workloads–allowing online businesses to grow seamlessly. Its newest version combines in-memory processing, containerization and encryption to bring performance, ease-of-use and security to the highest levels. A recent benchmark by ESG as well as a five-star review by Infoworld demonstrated ClustrixDB’s immense performance benefits, which can scale 10 times over other MySQL-compatible options, while remaining fully ACID compliant and maintaining latency under the crucial 20-millisecond threshold.

Scaling the easy way

In a recent ESG study half of those surveyed cited “increases in transactional workloads” as a database challenge leading to performance concerns. According to Azevedo, “Too many companies use ‘bolt-on solutions’ that were architected to run on a single server. Sometimes these work fine for years if companies never encounter tens of millions concurrent write transactions; but if they ever need to handle that level of activity, they have to throw heaps of money and resources into re-engineering the database in order to scale while preserving a good end user experience.” Common approaches for having a scale out SQL database, like sharding or replication require downtime, are difficult to set up and add complexity and fragility to applications. ClustrixDB, on the other hand, is designed to scale simply—by adding or removing nodes—freeing companies from database worries so that they can focus on customers, products and innovation. Clustrix Outscales Both Amazon Aurora and Google Cloud SQL

Third-party benchmarks highlight true “scale-out SQL” for high-transaction scenarios

San Francisco, Calif. - Nov 10, 2016 - Clustrix, provider of the first scale-out database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s web applications, demonstrated that its flagship relational database management system (RDBMS) ClustrixDB outperformed both Amazon Aurora and Google Cloud SQL in high-transaction scenarios. An Infoworld Test Center benchmark conducted earlier this year showed that Clustrix outscaled Amazon Aurora by great margins, while recent tests conducted by the same organization illustrate that Aurora outscales Google CloudSQL, leading to a single conclusion: Clustrix outperforms both of these MySQL alternatives.

Addressing MySQL’s shortcomings

As observed by Martin Heller in his recent review MySQL face-off: Amazon outscales Google, both Amazon Aurora and Google CloudSQL were developed in order to bridge limitations imposed by MySQL. Despite being the world’s most widely used open source RDBMS, “MySQL does not scale all that well and, in particular, cannot handle a lot of simultaneous clients compared to commercial databases.” Heller goes on to benchmark these two MySQL replacements against each other, concluding that “Google Cloud SQL performance may beat Amazon Aurora at low thread counts, but Aurora owns the high end.” ClustrixDB was also developed to address MySQL limitations, but with an important difference—it is architected to “scale out” by adding server nodes, which enables it to scale linearly to the point where there are almost no limits to the number of simultaneous transactions it can handle with little perceptible latency to the end user—a distinction that is not true of Google Cloud SQL and Amazon Aurora. Heller highlighted this in “ClustrixDB Scales Out, Way Out—Clustered relational database outperforms Amazon Aurora for low-latency, high-transaction-rate scenarios.

Clustrix “scales out” to outperform Aurora and Google Cloud SQL

Heller concludes that “ClustrixDB is a more-scalable alternative to Amazon Aurora for people who need extremely high transactional performance,” pointing to several benefits of the database:
  • A shared-nothing architecture that eliminates the potential scaling bottlenecks caused by shared-disk or even shared-cache architectures
  • A rebalancer that ensures optimal data distribution across all nodes
  • A query optimizer that achieves maximum parallelism on individual queries and maximum concurrency on simultaneous queries
  • Ability to be scaled out “hot” without downtime
“A common misconception is that cloud databases like Google Cloud SQL and Amazon Aurora can scale just by adding cloud instances. However, the truth is that even they have limits,” said Mike Azevedo, CEO, Clustrix. “Customers that foresee rapid growth or anticipate large spikes in seasonal demand will need a scale-out solution like ClustrixDB that’s built for high-volume scenarios handling millions of concurrent transactions. They might be shocked to find that Google and Aurora’s options are lower-performing solutions, but the most unpleasant surprise might come when they find themselves pouring tremendous money and engineering time into trying to rig them to scale beyond what they were designed for.”  
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