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Blog on All Things Cloud Foundry

Performance Evaluation: MongoDB over NetApp E-Series

Vladimir Starostenkov

mongodb_over_netapp_e_series-v1

NetApp, a provider of high-performing data storage systems, has been working on adjusting its offerings to the requirements of NoSQL databases (such as MongoDB). As a result, the company now offers two MongoDB-certified flash storage solutions. Altoros joined the effort to evaluate these products.

This blog post reveals some of the performance results for the MongoDB integrated architecture deployed to NetApp E-Series.

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Performance Benchmark: Redis Cloud vs. ElastiCache vs. openredis vs. RedisGreen vs. Redis To Go

Vladimir Starostenkov

redis database logoIn most performance comparisons, Redis (an open source key-value cache/store) is mainly treated as a caching-only solution. Others are only focused on a single provider. However, customers are interested in deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously—with different types of tasks.

For this reason, we designed a scenario that evaluates Redis performance in more complicated conditions. It combines two different types of queries (both simple and complex) generated concurrently. We’ve just published the performance results here (latencies, throughput, etc.). In this blog post, you’ll find some of the main findings.

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Couchbase [SF] 2013: Couchbase Lite and N1QL

Volha Kurylionak

On September 13, Altoros exhibited at Couchbase [SF] 2013 held in San Francisco.

At the conference, our partner Couchbase announced Couchbase Lite, a lightweight version of their database for mobile devices (iOS and Android). Another notable disclosure was N1QL, a query language for Couchbase.

The next event on our schedule is Oracle OpenWorld 2013. We still have several tickets left to give away for free. Meet us at the conference on September 22-26!

Download the latest Couchbase benchmark: The 2014 Technical Comparison Report: Cassandra (DataStax), MongoDB, and Couchbase Server

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NoSQL News for June 2013

Konstantin Ilchenko

Learn what’s new in the field of NoSQL systems from our news review for June 2013.

Highlights:

  • IBM and 10gen will connect MongoDB apps with IBM’s enterprise solutions
  • Rackspace offers hosted MongoDB services based on ObjectRocket
  • Couchbase Server 2.1 is available
  • 2013 NoSQL Now! to feature speakers from 10gen, Couchbase, Joyent, and Altoros
  • Five reasons why document-oriented DBs may soon become mainstream
  • Moving in the new direction: the way NoSQL and Hadoop changed the database landscape

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Benchmarking Couchbase Server vs. Cassandra vs. MongoDB for Interactive Apps (2013)

Alex Khizhniak

Looking for a new database for your data-intensive application? Don’t miss our new research paper revealing performance test results for Cassandra, MongoDB, and Couchbase Server.

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The List of Featured Graph Database Overviews and Benchmarks

Eugene Lahansky

Graph data stores provide index-free adjacency resulting in a much better performance, if compared to traditional RDBMS. Naturally, performance is the main concern for those who work with such databases. To predict the behavior of a graph database and find potential issues before actually implementing it, developers use benchmarks that simulate the actual workloads that users will create. This post covers some useful graph database overviews and benchmarks.

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A Vendor-Independent Comparison of NoSQL Databases: Cassandra, HBase, MongoDB, and Riak

Olga Belokurskaya

In 2010, when the world became enchanted by the capabilities of cloud systems and new databases designed to serve them, a group of researchers from Yahoo decided to look into NoSQL. The results were published in the paper, “Benchmarking Cloud Serving Systems with YCSB.” The Yahoo guys did a great job, but like any paper, it could not include everything.

In 2012, the number of NoSQL products reached 120-plus and the figure is still growing. That variety makes it difficult to select the best tool for a particular case. Database vendors usually measure productivity of their products with custom hardware and software settings designed to demonstrate the advantages of their solutions.

As R&D engineers at Altoros, a big data specialist, we were inspired by Yahoo’s endeavors and decided to add some effort of our own. This article is our vendor-independent analysis of NoSQL databases, based on performance measured under different system workloads. It’s an unbiased research to complement the work done by the folks at Yahoo.

Using Amazon virtual machines to ensure verifiable results and research transparency, we have analyzed and evaluated the following NoSQL solutions:

We also tested MySQL Cluster and sharded MySQL, taking them as benchmarks.

The aim of this investigation is to determine the best use cases for different NoSQL products.

Read about the results of the investigation in the article on NetworkWorld.

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Couchbase Server Benchmark @ CouchConf (Slides)

Alena Vasilenko

On Sep 21, 2012, Renat Khasanshyn, CEO at Altoros, delivered a session “Benchmarking Couchbase Server” at CouchConf held in San Francisco. The event was attended by 400 NoSQL developers and featured presentations by Orbitz, LinkedIn, Tapjoy, IBM, Sabre Holdings, McGraw Hill, and others.

In his session, Renat highlighted that all NoSQL vendors say their databases are fast and scalable, but this is not really helpful for end users. They want to know how a particular database will manage different types of workloads. To reveal the truth, three NoSQL systems were compared: MongoDB, Cassandra, and Couchbase Server 2.0. The analysis was made using the YCSB framework; the performance was tested on Amazon virtual machines. The results of the comparison were introduced in the presentation below.

This study is one of NoSQL benchmarks we’re currently working on. The results of other research activities will be presented within the next two months.


Renat Khasanshyn, CEO, Altoros

 
Related posts:
NoSQL Tech Comparison: Cassandra (DataStax), MongoDB, and Couchbase

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Bob Wiederhold of Couchbase Speaks About New Features of the 2.0 Release and Comments on NoSQL Trends

Alena Vasilenko

NoSQL Now! is a conference that attracts NoSQL users and vendors. Couchbase, Altoros’s partner and customer, couldn’t avoid this event and joined the community. People in the IT field still feel embarrassed by a great variety of NoSQL products in the market. Most companies tend to exaggerate the merits and disregard the disadvantages of their solutions. Bob Wiederhold, President and Chief Executive Officer, Couchbase, agreed to shed some light on the situation and gave an interview to Zen Kishimoto, Green IT advocate at Alta Terra. Bob honestly told about strong and weak sides of Couchbase and commented on the trends in the mainstream.

Couchbase is the result of a successful merge of Membase and Couchone. In this interview, you will discover what database type Couchbase will become after the 2.0 release and will learn what programming language was chosen to increase performance of the product. In addition, Bob revealed what improvements are being made to overcome the greatest disadvantage of Couchbase.

Bob Wiederhold, President and Chief Executive Officer, Couchbase. The source: Tek-tips.nethawk.net.

That was also useful that Bob tried to differentiate the current NoSQL market and emphasized two main groups of products according to their functions: real-time operational and batch-oriented analytics solutions. In the full version of the article you’ll see what databases belong to each group and what tasks they help to solve. Also you’ll see a table showing Bob’s predictions on the role and market niche size of the most popular database types.

Read the full version of the interview!

Related: The 2014 NoSQL Tech Comparison Report: Cassandra (DataStax), MongoDB, and Couchbase Server

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Couchbase Becomes Document-Oriented and Gets Indexing Capabilities in a New 2.0 Release

Alena Vasilenko

According to Bob Wiederhold, CEO of Couchbase, NoSQL databases emerged as a response to the problems caused by fixed schema structure of SQL solutions and their proprietary nature. In this interview, he explains the difference between SQL and NoSQL products and mentions the tasks they help to solve. While SQL solutions increase their performance mostly through extending hardware capabilities (e.g., through buying bigger CPU, expanding memory and disk space), they still face some limits that result in database sharding. Watch this video to learn about the consequences of splitting a SQL database into several parts and discover how NoSQL databases address such issues.

Also, you’ll discover the variety of NoSQL types and understand why all of them exist at the same time. You will see the main principles of NoSQL databases and reveal their best use cases. Listen to Bob Wiederhold’s opinion about what to expect in the field of distributed databases in the near future and what’s meant by a new “more prominent model.”

Couchbase is a privately held company with the headquarters in Mountain View, California, and the development offices around the world. They created a Couchbase Server, an open-source NoSQL database for serving data-intensive, rapidly growing, interactive Web apps in the virtualized or cloud environment. Altoros assisted Couchbase in building some parts of this awesome product that is now deployed by AOL, Deutsche Post, NTT Docomo, Salesforce.com, Starbucks, Zynga, and other world leaders.

Download the latest Couchbase benchmark: The NoSQL Technical Comparison Report: Cassandra (DataStax), MongoDB, and Couchbase Server

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Benchmarks and Research

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