How to Choose the Best Big Data Provider
Updated on August 23, 2021 | by Alex Smith
Industry knowledge and data management devices are essential in the big data world. Although certain technologies are simply as important as effective hardware elements and software programs on which they run.
The CRN / USA editorial crew prepared the third annual Big Data 100 listing of merchants who have produced custom goods and settings that encourage companies to run with Big Data service providers. Here is a summary of foundation, device, and assistance vendors that offer everything from servers to software platforms and cloud services.
Founder: Raymie Stata
Altiscale of Palo Alto, Calif. Is one of numerous struggling startups offering Hadoop-as-a-service? Its Altiscale Cloud is an on-demand pay-as-you-go set built on the Hadoop big data principles.
In February, the organization announced that Apache Spark’s big data engine including Kerberos authentication technology is integrated into its Data Cloud.
Reimi Stata, formerly Yahoo’s chief technology officer, founded Altiscale in 2012. In December, the company received a second round of $ 30 million in funding.
Amazon Web Services
Chief Executive Officer: Jeff Bezos
Amazon Web Services is better understood as a cloud storage service, but the organization is regularly increasing its variety of duties associated with Big Data. These combine:
- Amazon DynamoDB NoSQ;
- Amazon RDS relational database;
- Amazon Kinesis real-time streaming processing, and report;
- Amazon Redshift petabyte data repository;
- Amazon Glacier archive area;
- Amazon Elastic MapReduce gives the Hadoop program within the Elastic Compute Cloud (EC2) assistance.
In April, Amazon released AWS revenue for the first time, reporting that it was $ 1.57 billion in the first quarter and revenue was $ 265 million.
Co-founder and CEO: Kumar Sreekanti
BlueData Software came out of stealth mode in September by first introducing its EPIC software platform, which leverages virtualization technology that enables organizations to process big data also easily, quicker, and at a cheaper value by using Hadoop-as-a-service as an on-premises resolution.
The organization (established in 2012 and based in Mountain View, Calif.) Points out that its technology enables organizations of all sizes to quickly build big data systems while saving 50 to 75% of costs over traditional approaches.
Founder: Jonathan Gray
Cask is a free software organization that gives development means for Hadoop purposes and data. Its Cask Data Application program is applied to build, deploy, and also administer applications where you can find big data developers for hire.
In February, Cask signed a strategic business plus technical cooperation agreement with Hadoop distributor Cloudera, under which Cloudera acquired its share capital. Cask was established in 2011 under the name Continuuity and is based in Palo Alto, PA. California.
CEO: Tom Reilly
Cloudera is one of the best providers of Hadoop and similar software and co-operations. Its flagship line, Cloudera Enterprise, covers Hadoop administration, data governance, plus protection. The organization has also created a massively parallel Cloudera Impala SQL engine for storage in Hadoop clusters.
Cloudera, founded in 2008 plus based in Palo Alto, PA. California reported in February that its partner ecosystem grew more than 75% over the previous year to 1,450 companies; These include system integrators and solution providers, large IT vendors, independent software vendors (ISVs), and toolkit developers.
Also, you can consider reading: Cloud vs. Data Center: The Pros, Cons, and Everything in Between