I can't understand for difference between Apache Ignite and GridGain platform. They are equals? Or GridGain is a standard that implemented by Apache Ignite?
From the website:
Apache® Ignite™ was originally contributed to the Apache Software Foundation by GridGain Systems. The project rapidly evolved into a top level Apache project with tens of thousands of downloads per month. The GridGain Professional Edition, Enterprise Edition, and Ultimate Edition are built on Apache Ignite.
Enterprise and Ultimate editions have some "enterprise" features that are not in the open source version.
Indeed, Gridgain is wraper built on top of Ignite.
Gridgain gives you additional features such as Security, Rolling production update etc that is required for enterprise level application.
you may find the full list here
https://www.gridgain.com/products/gridgain-vs-ignite
Related
As ambari comes under cloudera now, what is the price per hour of the enterprise edition of apache ambari
#asukwal9 - Ambari is no longer a part of Cloudera enterprise support and there was never a per hour consumption for Ambari or HDP (Hortonworks Data Platform). Enterprise licensing was node based not consumption based. Today enterprise level support for these services around Ambari is End of Life unless there is an exception. Existing licensed HDP customers are migrating to CDP (Cloudera Data Platform).
I am new to apache ignite. I created ignite cluster and connect my nodejs thin client to it. It is working fine but It only create cache create functions specified in js file. Now I want to sync my sql server data with ignite. Any idea how I will do it?
I tried to connect with Grid gain but it does not allow me to create free cluster?
Please refer to 3rd Party Persistence documentation regarding RDBMS integration.
GridGain Web Console can help you set up database integration by generating Maven project corresponding to your RDBMS data model.
GridGain Community Edition is free to use as long as you deploy it on your own. But, it is also supported by stock Apache Ignite.
I am confused, what is difference between generic web server and web server in weblogic?
Generic server is a special server and run time implementation of base server tooling that can adjust its behavior by a server type definition file. Server type definition files are XML based meta information files that are introduced using "org.eclipse.jst.server.generic.core.serverdefinition" extension point.This document describes the different parts of the server definition files.
WebLogic Server implements Java 2 Platform, Enterprise Edition (J2EE) version 1.3 technologies (http://java.sun.com/j2ee/sdk_1.3/index.html). J2EE is the standard platform for developing multi-tier Enterprise applications based on the Java programming language. The technologies that make up J2EE were developed collaboratively by Sun Microsystems and other software vendors, including BEA Systems.
WebLogic Server J2EE applications are based on standardized, modular components. WebLogic Server provides a complete set of services for those modules and handles many details of application behavior automatically, without requiring programming.
We are evalutating various Data Grid solutions.
Is GridGain supported on IBM AIX (so IBM JVM) ?
I could not figure out from the web site.
Regards,
Sebastien.
Yes, GridGain is currently being ran in several IBM AIX deployments.
I wanted to broach the issue of SQL Server's Hadoop distribution called HDInsight.
Given that there is a connection provided to Hadoop, does anyone have experience with HDInsight and particularly a comparison between the Hadoop / SQL Server connector and HDIinsight / SQL Server from a real life DTP scenario or personal 1 node installation?
http://sqlmag.com/blog/use-ssis-etl-hadoop
http://www.microsoft.com/en-us/download/details.aspx?id=27584
http://www.microsoft.com/en-us/sqlserver/solutions-technologies/business-intelligence/big-data.aspx
HDInsight is the distribution of Hadoop that Microsoft maintains for use in Azure. You could roughly compare this to Amazon Elastic MapReduce. They both serve the purpose of being a hosted Hadoop service that has almost no management overhead.
The Hortonworks Data Platform for Windows contains the open source changes that Hortonworks and Microsoft have collaborated on to make Hadoop run well on Windows. HDP isn't HDInsight.
In short - you don't need to use HDInsight if you want to run Hadoop in a Windows environment.
While I can't speak directly to using HDInsight and moving data back and forth between SQL Server, I've done implemented a data processing solution using SQL Server, Hadoop, and Elastic MapReduce. Barring some data quality issues and BULK INSERT weirdness, the process was painless.
Finally, you ask "do we really want to run Hadoop size datasets on Windows servers?" - Windows performs well and has solid tooling around it. I've been somewhat skeptical about running Hadoop and other Java platform software on Windows because of legacy Java I/O issues and a lack of community support, not because of any performance issues.
The largest issues that Windows companies will find moving to Hadoop is there will be limited support in community forums and channels when the problem becomes a Hadoop + Windows issue. It's very easy for people to throw their hands up and say "Nope, not helping out, don't have Windows." With time and adoption, this problem goes away. Besides, nothing says you have to finish on the same platform you start with. You could easily deploy with HDP on Windows and move to HDP on Linux at a later date.
I have put together some SQL Server and Hadoop basics for DBAs that should be helpful.