Skip navigation

DataStax Enterprise and the Cloud: Why migrating to a NoSQL database might be your organization’s smartest move

Todd Homa

Director, Big Data Technology Solutions, EPAM
Blog

Apache Cassandra™ is a NoSQL database that was developed as a fast, scalable, and cost-effective data management platform for cloud applications that need to scale and perform in distributed environments. EPAM and DataStax are collaborating to integrate data centers at scale with DataStax Enterprise (DSE), the database for cloud applications, based on Apache Cassandra. Many industries are migrating their entire infrastructures to the cloud as a measure to reduce cost, but there are several other ways in which migrating to DSE can increase business efficiencies.

 

How DSE can improve business

I’m finding that more and more enterprises are looking to migrate their RDBMS to NoSQL in order to cut costs and streamline processes. With the cloud offering greater opportunities to increase resource efficiencies, many organizations can benefit from migrating to DSE for a variety of reasons:

1. Geographic distribution – DSE, by design, is a distributed system. It is very intuitive and simple to add additional data centers to provide geographic proximity to customers. This is a much more complex task in the RDBMS world and sometimes requires additional tooling.

2. Linear scalability – DSE scales horizontally by adding additional nodes (machines). NetFlix has done a performance test that shows that Cassandra does scale linearly with the addition of nodes. Oracle and DB2 cannot scale linearly because there is a bottleneck in their fundamental design. Both products allow you to add additional resources for processing but they both use shared data sets. This means that the IO system for your data becomes your bottleneck. This is NOT the case with a fully distributed system (both storage and processing) like DSE.

3. 100% Uptime – Sure, this might be a bit of a stretch. No system can guarantee 100% uptime. However, DSE is designed with failure in mind and you configure data redundancy based on your tolerance for failure. In theory, you could configure DSE in such a way that all data is replicated to every other node. In this scenario, even if only one node was up, the system would still be up. This is not practical from a performance perspective so most people use a replication factor of three which provides three instances of the data at all times. This can be configured across data centers which will provide even more redundancy.

4. Cost reduction – In my anecdotal experience, the cost to run a DSE cluster has been 80-90% cheaper than an equivalent RDBMS platform. Cost is determined by two major components: licensing and scalability. In terms of licensing, the per-node cost for DSE is far less than traditional RDBMS vendors. And when it comes to scalability, traditional RDBMS platforms typically scale vertically, meaning that more hardware is added to a single machine to improve performance. This is cost effective up until the point that there are diminishing returns on very high end software. On the other hand, DSE, along with other distributed systems, scales horizontally by adding more nodes to the system to scale. This reduces the overall cost of the platform in the long run.

DSE is particularly useful for managing big data applications that modern businesses today need to process mass amounts of information, particularly when it comes to scalable cloud technology solutions.  Migrating to DSE could be a smart move for your business by providing better performance at a lower cost.

Hello. How Can We Help You?


Our Offices

  • Canada

    • Ottawa

      343 Preston Street,
      ON K1S 1N4, Ottawa
      Canada

      Map
    • Toronto

      5 Park Home Avenue,
      Suite 400,
      ON M2N 6L4, North York,
      Toronto
      Canada

      Map
      F: +1-416-595-1551
  • Mexico

    • Guadalajara

      Periférico Sur #8110,
      Col. El Mante
      45609 Tlaquepaque, Jalisco
      Mexico

      Map
  • United States

    • Newtown, PA

      41 University Drive,
      Suite 202,
      Newtown, PA 18940
      USA

      Map
      F: +1-267-759-8989
    • Bellevue, WA

      110 110th Ave. NE,
      Suite 310
      Bellevue, WA 98004
      USA

      Map
    • Boston, MA

      21 Drydock Avenue,
      Suite 410 W,
      Boston, MA 02210
      USA

      Map
    • Conshohocken, PA

      101 East 8th Ave,
      Suite 201,
      Conshohocken, PA 19428
      USA

      Map
    • Los Angeles, CA

      11601 Wilshire Blvd,
      Suite 350,
      Los Angeles, CA 90025
      USA

      Map
    • Mountain View, CA

      465 Fairchild Dr,
      Building B,
      Suite 221,
      Mountain View, CA 94043
      USA

      Map
    • New York, NY

      24 West 25th Street,
      5th Floor,
      New York, NY 10010
      USA

      Map
      F: +1-267-759-8989
    • Philadelphia, PA

      30 South 15th Street,
      9th Floor,
      Philadelphia, PA 19102
      USA

      Map
    • San Francisco, CA

      222 Kearny Street,
      Suite 308,
      San Francisco, CA 94108
      USA

      Map
    • Washington D.C.

      7901 Jones Branch Drive,
      Suite 400,
      McLean, VA 22102
      USA

      Map
  • Australia

  • China

    • Guangzhou

      Unit B01, 23/F,
      Yuexiuxinduhui Building,
      No. 236, 6th Zhongshan Road,
      Yuexiu District, Guangzhou,
      China 510180

      Map
    • 广州

      中国广州市越秀区
      中山六路236号
      越秀新都会大厦中座 23楼 B01室
      邮编510180

      地图
    • Shanghai

      Room B509, 5th Floor,
      48 Weihai Road,
      Huangpu District, Shanghai,
      China 200000

      Map
    • 上海

      上海市黄浦区
      威海路48号
      5楼B509室
      邮编200000

      地图
    • Shenzhen

      3/F, Block 5, Vision Shenzhen Business Park,
      9th Gaoxin South Road, 
      Shenzhen Hi-tech Industrial Park,
      Nanshan District, Shenzhen,
      Guangdong, China 518057

      Map
    • 深圳

      中国广东省深圳市
      南山区高新南九道
      威新软件园5号楼3楼
      邮编518057

      地图
    • Suzhou

      Building 12, Creative Industrial Park,
      328 Xinghu Street,
      Suzhou Industrial Park,
      Suzhou, China 215123

      Map
    • 苏州

      中国江苏省苏州市
      苏州工业园区星湖街328号
      创意产业园内12号楼
      邮编215123

      地图
  • Hong Kong

    • Hong Kong

      26F&17F, The Wellington Tower,
      198 Wellington Street,
      Central, HK

      Map
  • India

    • Bangalore

      Smartworks,  
      Global Technology Park,
      Block C, Outer Ring Rd,
      Adarsh Palm Retreat, Bellandur,
      Bengaluru, Karnataka 560103
      India

      Map
    • Hyderabad

      10, 11 & 12th Floors,
      Salarpuria Sattva Knowledge City,
      Plot No. 2, Phase - 1,
      Survey No. 83/1,
      Raidurgam Village,
      Serilingampally Mandal,
      Hyderabad, Telangana - 500081
      India

      Map
    • Pune

      SmartWork Business Center Pvt Ltd,
      Suite 8, Level 1,
      West Wing, Nyati Unitree,
      Samrat Ashok Road,
      Yerwada, Pune - 411006,
      Maharashtra
      India

      Map
  • Japan

    • Tokyo

      Floor 1-10-11
      Shibadaimon Centre Building 10th
      Shibadaimon Minato-ku
      Tokyo 105-0012
      Japan

      Map
      F: +81-03-6880-9201
  • Singapore

    • Singapore

      5 Shenton Way
      UIC Building, #10-01,
      Singapore (068808)

      Map
  • United Arab Emirates

    • Dubai

      EPAM Systems FZ-LLC Dubai Branch
      2307 Arenco Tower, Dubai Media City
      PO Box 501929 Dubai
      United Arab Emirates

      Map