Ignite X exclude from comparison TiDB X exclude from comparison Description Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast by GridGain Systems. Actualmente estoy estudiando Apache spark y Apache ignite frameworks. SQL + JSON + NoSQL.Power, flexibility & scale.All open source.Get started now. I was able to create a cluster and work with Ignite 1.6 with ZooKeeper Based Discovery. GridGain Community Edition is a binary build of Apache Ignite created by GridGain, which includes optional LGPL dependencies, such as Hibernate L2 cache integration and Geospatial Indexing, as well as bug fixes and features which may be included into the future official Apache Ignite releases. Powered by Atlassian Confluence 7.5.0 Apache® Ignite was originally contributed to the Apache Software Foundation by GridGain Systems. A recent paper by researchers at the University of Minho in Portugal compared the performance of Apache Druid to well-known SQL-on-Hadoop technologies Apache Hive and Presto. Explanation and details on Databricks Delta Lake. 11:26. Apache Flink is also optimized for local state access for tasks and does checkpointing of local state for durability. They varied Druid segment granularity, query granularity and the use of partition hashing. Apache Ignite is an open source in-memory data fabric which provides a wide variety of computing solutions including an in-memory data grid, compute grid, streaming, as well as acceleration solutions for Hadoop and Spark. Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale. *An open-source distributed database, caching and processing platform *. This post looks at two popular engines, Hive and Presto, and assesses the best uses for each. They compared the configurations that delivered the best results from each technology. measures the popularity of database management systems, predefined data types such as float or date. support for XML data structures, and/or support for XPath, XQuery or XSLT. While Druidâs performance declined, it was still much faster than Presto, ranging from 10 times to 50 times faster depending on table and scale factor. Apache Drill and Presto are primarily classified as "Database" and "Big Data" tools respectively. Apache® Ignite is an in-memory data fabric. Welcome to the Apache Ignite developer hub run by GridGain. This has been a guide to Apache Kafka vs Flume. Apache Ignite: An open-source distributed database, caching and processing platform *. We invite representatives of system vendors to contact us for updating and extending the system information,and for displaying vendor-provided information such as key customers, competitive advantages and market metrics. The Ignite project graduated on September 18, 2015. Introduced in April 2019, Databricks Delta Lake is, in short, a transactional storage layer that runs on top of cloud storage such as Azure Data Lake Storage (ADLS) Gen2 and adds a layer of reliability to organizational data lakes by enabling many features such as ACID transactions, data versioning and rollback. Learn more about GridGain vs Ignite here. I'm experimenting with Apache Ignite 1.6 and Ignite 2.1. ignite / examples / src / main / java / org / apache / ignite / examples / datagrid / CachePutGetExample.java / Jump to Code definitions CachePutGetExample Class main Method putGet Method putAllGetAll Method The chart below demonstrates performance using three different tables. It partitions and distributes data within a cluster. Apache Ignite和Oracle Coherence都提供了富数据网格的特性，解决了可扩展的分布式集群环境下在内存中对数据进行缓存和分区的问题。 Ignite和Coherence在缓存和事务的方式上是有很多不同的，同时支持数据的查询，下面的表格列出了一些主要的不同点，这些都是我们在选择数据网格产品时需要特别关注的。 Apache Ignite® is an in-memory computing platform used for transactional, analytical, and streaming workloads, delivering in-memory speed at petabyte scale | Ignite.apache - Ignite.apache.org traffic statistics Apache Ignite in-memory computing platform comprises the following set of components: A recent paper by researchers at the University of Minho in Portugal compared the performance of Apache Druid to well-known SQL-on-Hadoop technologies Apache Hive and Presto. Apache Ignite is also approximately 3-6x faster than Apache Cassandra for read-intensive applications, while Apache Cassandra offers superior write … The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Cookie Policy, Challenging SQL-on-Hadoop Performance with Apache Druid. Apache Drill and Presto are primarily classified as "Database" and "Big Data" tools respectively. Redis is primarily an in-memory key-value store used for caching data, although the product is often promoted as a database. Discover how to build your own Apache Ignite persistence with Scala. Apache Arrow with Apache Spark. Apache Drill vs. Presto: What’s the Difference Between Them? Apache Ignite® allows for most of the data structures from java.util.concurrent framework to be used in a distributed fashion. Mirror of Apache Ignite. We invite representatives of vendors of related products to contact us for presenting information about their offerings here. Apache Ignite provides streaming capabilities that allow data ingestion at high scale in its in-memory data grid. Presto versus Hive: What You Need to Know There is much discussion in the industry about analytic engines and, specifically, which engines best meet various analytic needs. It partitions and distributes data within a cluster. On this page, the community attempts to accumulate all publicly disclosed production use cases of Ignite with some reference data. More info: https://apacheignite-net.readme.io/ Distributed Joins. They used identical infrastructure for all tests. Here we have discussed Apache Kafka vs Flume head to head comparison, key difference along with infographics and comparison table. Although Apache Drill and Presto, both are SQL query engines, there are a few differences. I'm trying to get all items from a Apache Ignite cache. Opinions expressed by DZone contributors are their own. If these events are not needed by the application this load is unnecessary and Methods for storing different data on different nodes, Methods for redundantly storing data on multiple nodes, Offers an API for user-defined Map/Reduce methods, Methods to ensure consistency in a distributed system, Support to ensure data integrity after non-atomic manipulations of data, Support for concurrent manipulation of data. The highlights of the test configuration are: Comparing the best results from Druid and Presto, Druid was 24 times faster (95.9%) at scale factors of 30 GB and 100 GB and 59 times faster (98.3%) for the 300 GB workload. Presto: Fast SQL on Everything (Facebook) - Duration: 40:50. The cluster provides very fast data processing. Our visitors often compare Ignite and Spark SQL with MySQL, Cassandra and MongoDB. Apache Arrow is integrated with Spark since version 2.3, exists good presentations about optimizing times avoiding serialization & deserialization process and integrating with other libraries like a presentation about accelerating Tensorflow Apache Arrow ⦠It also acts good as a session storage. Some form of processing data in XML format, e.g. Issue. Apacheトップレベルプロジェクトであるインメモリープラットフォームの Ignite を検証し、十分なパフォーマンスや安定性が確認できたため、分散キャッシュとして利用することにした。以下図3がIgniteを分散キャッシュとして導入したシステム構成と Differences Between to Spark SQL vs Presto Presto in simple terms is ‘SQL Query Engine’, initially developed for Apache Hadoop.It’s an open source distributed SQL query engine designed for running interactive analytic The GridGain En este artículo se describen algunas de las principales diferencias entre ignite vs spark. Apache Ignite is a distributed in-memory cache, query and processing platform. Please select another system to include it in the comparison. 8. Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for modern data apps. Previously, SQL joins worked only for colocated data: if cache entry for John, who works for Apache, is located on node 1, but cache entry for Apache is located on node 2, SQL join wonât return this pair.. Now, however, this is no longer the issue. Comparing the best results from Druid and Hive, Druid was more than 100 times faster in all scenarios. Presto-on-Spark Runs Presto code as a library within Spark executor. 我们在Apache Ignite和Hazelcast之间进行测试的配置是100%相同的，因此Hazelcast的声明是完全错误的。另外，从Greg的博客来看，他们是在自己的硬件上进行的测试并且由于一些原因改变了测试的场景，使得其他人都无法进行 æ ªå¼ä¼ç¤¾ ç¥æ¸ãã¸ã¿ã«ã»ã©ã, 京çº, ãã£ãã«ã»ã³ã³ãµã«ãã£ã³ã°æ ªå¼ä¼ç¤¾, spark.apache.org/docs/latest/sql-programming-guide.html, Optimizing the Relationship Between Apache Ignite and Kubernetes, GridGain Control Center for Managing GridGain and Apache Ignite Now Available, Apache Ignite team grants users' wish for better observability, GridGain Announces Nebula Managed Service for Apache Ignite and GridGain In-Memory Computing Platforms, GridGain Experts Discuss In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Online Events, LinkedIn's Translation Engine Linked to Presto, Dremio Officially a 'Unicorn' As it Reaches $1B Valuation, Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks, Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance, The 12 Best Apache Spark Courses and Online Training for 2020, Software Engineers (all levels) - Charles River Development, Enterprise Java Software Engineer (Apache Ignite / Python), ãã¼ã¿ ãµã¤ã¨ã³ãã£ã¹ã /ãã³ã³ãµã«ãã£ã³ã°ãã¡ã¼ã, Knowledge Base of Relational and NoSQL Database Management Systems, Editorial information provided by DB-Engines. Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale. Their findings: âThe results point to Druid as a strong alternative, achieving better performance than Hive and Presto.â. It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale; * MemSQL:** Database for real-time transactions and analytics . This is a big one! Apache Ignite is an in-memory data fabric. caching, apache ignite, tutorial, getting started, database, data grid, compute grid, sql. DBMS > Ignite vs. In the tests, Druid outperformed Presto from 10X to 59X (a 90% to 98% speed improvement) and Hive by over 100X. There is a network penalty to communicate with Redis service, so as with talking to database you cannot be too chatty. â¹ï¸ Supports the development of a number of open-source software projects, including the Apache web server. I am new to Apache Ignite，for the Ignite and spark integration， it looks that Ignite provides an in-memory layer that the data will live across spark applications, which is … For example, you can take java.util.concurrent.BlockingDeque and add something to it on one node and poll it from another node. Apache Ignite vs Redis: What are the differences? Apache Samza is a distributed stream processing engine. "Works directly on files in s3 (no ETL)" is the primary reason why developers choose Presto. In the era of BigData, where the volume of information we manage is so huge that it doesnât fit into a relational database, many solutions have appeared. Apache Ignite vs Redis: What are the differences? Pero me di cuenta de que todavía no entiendo sus propósitos. Here you'll find comprehensive guides and documentation to help you start working with Apache Ignite as quickly as possible, as well as support if you get stuck. The second table (red) is segmented by month, using a data set that only includes attributes needed to answer the queries (Scenario N). Apache Ignite 2.8版本经过了一年多的开发，现已发布。这是个大版本更新，新增了大量的功能，也解决了近一年中开发者反馈的大量问题，推荐开发者更新，更新内容清单非常长，现把重点内容摘录如下： Apache Ignite 2.8.0 Ignite | Druid was 190 times faster (99.5% speed improvement) at a scale factor of 30 GB. Apache Ignite vs MemSQL: What are the differences? These components are built to support the goals of performance and scalability. Spark SQL System Properties Comparison Ignite vs. Ignite X exclude from comparison Oracle X exclude from comparison Description Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads Ignite can and often does generate thousands events per seconds under the load and therefore it creates a significant additional load on the system. Supports .NET 4+ and .NET Core 2.0+. Optimizing the Relationship Between Apache Ignite and Kubernetes9 October 2020, Container Journal, GridGain Control Center for Managing GridGain and Apache Ignite Now Available2 June 2020, GlobeNewswire, Apache Ignite team grants users' wish for better observability12 March 2020, DevClass, GridGain Announces Nebula Managed Service for Apache Ignite and GridGain In-Memory Computing Platforms7 July 2020, GlobeNewswire, GridGain Experts Discuss In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Online Events14 July 2020, GlobeNewswire, LinkedIn's Translation Engine Linked to Presto11 December 2020, Datanami, Dremio Officially a 'Unicorn' As it Reaches $1B Valuation6 January 2021, Datanami, Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks25 June 2020, Datanami, Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance3 July 2020, InfoQ.com, The 12 Best Apache Spark Courses and Online Training for 202019 August 2020, Solutions Review, Software Engineer IState Street, Burlington, MA, Software Engineers (all levels) - Charles River DevelopmentState Street, Burlington, MA, Enterprise Java Software Engineer (Apache Ignite / Python)BlackRock, New York, NY, Jr. Full Stack DeveloperCredit Suisse, Raleigh, NC, DATA/AIã¨ã³ã¸ãã¢æ ªå¼ä¼ç¤¾ ç¥æ¸ãã¸ã¿ã«ã»ã©ã, 京çº, ãã¼ã¿ã¨ã³ã¸ãã¢ãã£ãã«ã»ã³ã³ãµã«ãã£ã³ã°æ ªå¼ä¼ç¤¾, ãã¼ã¿ ãµã¤ã¨ã³ãã£ã¹ã /ãã³ã³ãµã«ãã£ã³ã°ãã¡ã¼ã ã¯ã©ã¤ã¹&ã«ã³ããã¼, 赤å. They ran tests at three âScale factorsâ- workloads of 30 GB, 100 GB and 300 GB. It is one of the top five ASF projects in terms of commits and email list activity. Its main goals are to provide performance and scalability. Impala 和Presto 在并发测试上表现的更好。 对比6个月之前的基准测试，所有的引擎都有了2-4倍的性能提升。 Alex Woodie 报告了测试结果，Andrew Oliver 对其进行分析。 让我们来深入了解这些项目。 Apache Hive 在2016年 。 | Is there an option to define some or all structures to be held in-memory only. I'm tried to create the Ignite 2.1 cluster with Their findings: âThe results point to Druid as a strong alternative, achieving better performance than Hive and Presto.â. Apache Pinot and Druid Connectors â Docs. Includes license information, latest news, and project sites. Turn off or tune durable memory. Unfortunately, persistence slows … Apache Ignite is an open source in-memory data fabric which provides a wide variety of computing solutions including an in-memory data grid, compute grid, streaming, as well as acceleration solutions for Hadoop and Spark. Ignite is a multi-purpose In-Memory Data Fabric that also includes streaming processing capabilities (and we can argue better capabilities when it ⦠The project rapidly evolved into a top level Apache project with tens of thousands of downloads per month. The third (yellow) is segmented by quarter and aggregated by month, using Scenario N. Druidâs performance advantage grew with the scale of the workload and the ability to aggregate, reaching a peak of 50 times faster than Presto, even with partition hashing disabled. Apache Ignite is an open source memory-centric distributed platform. For more details on how these tests were conducted and the complete results, we encourage you to download the paper Challenging SQL-on-Hadoop Performance with Apache Druid from authors Jose Correia, Maribel Yasmina Santos, and Carlos Costa of the University of Minho. RaptorX â Disaggregates the storage from compute for low latency to provide a unified, cheap, fast, and scalable solution to OLAP and interactive use cases. Privacy Policy GridGain includes a number of additional features for enhanced management, monitoring and security. Since version 2.1, Apache Ignite has had its own persistence implementation. Please select another system to include it in the comparison.. Our visitors often compare Ignite and Spark SQL with MongoDB, Cassandra and MySQL. Apache Ignite is a distributed database for in-memory speed and high-performance computing.. Ignite was open-sourced by GridGain Systems in late 2014 and accepted in the Apache Incubator program that same year. Apache Ignite vs Redis as an In-Memory Computing Platform vs a Data Cache Apache® Ignite™ is a powerful alternative to Redis® for demanding computing use cases. Apache Ignite® is a distributed database for in-memory speed and high-performance computing. Try Vertica for free with no time limit. 测试方法 为了对Ignite做一个基本了解，做了一个性能测试，测试方法也比较简单主要是针对client模式，因为这种方法和使用redis的方式特别像。测试方法很简单主要是下面几点： 不作参数优化 … Since partition hashing is an advanced option, the researchers decided to additionally test Druid against Presto with this feature disabled. On the other hand, Presto is detailed as " Distributed SQL Query Engine for Big Data ". Contribute to apache/ignite development by creating an account on GitHub. Currently I can get an individual item using ClientCache
cache = igniteClient.cache("myCache"). Apache Ignite vs Tarantool: What are the differences? The first table (blue) includes all attributes (named Scenario A in the report) with no aggregation, segmented by quarter. Developers describe Apache Ignite as "An open-source distributed database, caching and processing platform *".It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale. Spark SQL. High Performance Data Architectures for the Internet of Things IoT by GridGain Systems. Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale The GridGain ® in-memory computing platform is built on top of the core features of Apache Ignite ®.. Apache Ignite 1.7 has been released last week. Apache Ignite does not have support from large cloud providers such as AWS and Microsoft, so you'll have to manage the deployment yourself if you want to use one of these providers. Spark SQL is a component on top of 'Spark Core' for structured data processing, ANSI-99 for query and DML statements, subset of DDL, yes (compute grid and cache interceptors can be used instead), yes (compute grid and hadoop accelerator), Security Hooks for custom implementations. While Apache Drill can be said to be a Database tool, Presto can be classified as a Big Data tool. Letâs see what is new in the .NET part. Apache Ignite® data loading and streaming capabilities allow ingesting large finite as well as never-ending volumes of data in a scalable and fault-tolerant way into the cluster. The fabric consists of a number of different components. Its main goals are to provide performance and scalability. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Evaluate Confluence today . Qubole 6,334 views 40:50 Talks Night: An intro to Apache Ignite the memory-centric distributed platform - Akmal Chaudhri - … If you are interested in using Druid to enable real-time analytics from your Hadoop data lake, take a look at our Hadoop guide on the subject. Comments Big Data Partner Resources. Get started with 5 GB free.. SkySQL, the ultimate MariaDB cloud, is here. What is Apache Ignite? Presto, Apache Spark, Apache Calcite, Apache Impala, and Druid are the most popular alternatives and competitors to Apache Drill. Design Docs. © 2021 Imply Data, Inc, Burlingame, CA. Conclusion With the head-to-head comparison between Redis and Apache Ignite … Developers describe Apache Ignite as "An open-source distributed database, caching and processing platform *".It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale. The rate at … Apache Storm is streaming processing framework. Figure 1 shows the major components of Apache Ignite as of the time of writing this article. Introduction to Redis I am quite a big fan of Redis as a distributed in-memory cache. This tutorial shows you how to create a simple "Hello World" example in Apache Ignite. How T3Goâs high-performance data lake using Apache Hudi and Alluxio shortened the time for data ingestion into the lake by up to a factor of 2. Apache Ignite 发行注记 ===== Apache Ignite 内存计算平台 2.9.1 Ignite核心: 新增支持ZookeeperDiscoverySpi的优雅关闭； 新增二进制元数据的系统视图； 新增元数据存储的系统视图； 新 Main components of Apache Ignite One of the major benefits of having ma⦠We can use it as a database, a caching system or for the in-memory data processing. It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale. Apache Ignite® is used to solve complex problems related to speed and scale. Apache Ignite Deployment Patterns The Apache Ignite ® in-memory computing platform comprises high-performance distributed, multi-tiered storage and computing facilities, plus a comprehensive set of APIs, libraries, and frameworks for consumption and solution delivery (all with a “memory first” paradigm). Disaggregated Coordinator (a.k.a. Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for machine learning, graph analytics and more. Figure 1. Get started with SkySQL today! Ignite vs. Storm, Samza. Ignite⢠can be used as a horizontally scalable and fault-tolerant SQL database. Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale. Data analysts using Presto, Hudi, and Alluxio in conjunction to query data on the lake saw queries speed up by 10 times faster. Powered by a free Atlassian Confluence Open Source Project License granted to Apache Software Foundation. Or enjoy a Free Imply Download or Cloud Trial to get hands-on. The Apache Ignite project does not endorse or maintain any 3 rd party binary packages. NCache is a 100% .NET / .NET Core Open Source in-memory distributed cache. Apache Spark is an open source fast and general engine for large-scale data processing. Apache Ignite 2.6 SQL Server 2019, November 2019 5.7.32 , October 2020 License Commercial or Open Source Open Source Apache 2.0 commercial restricted free version is available Open Source GPL version 2. Apache Ignite (Ignite) is the leading Apache Software Foundation (ASF) project for in-memory computing. This advantage fell to 114 times faster (99.1%) at 100 GB and 129 times faster (99.2%) for the 300 GB workload. Itâs much better to ask for multiple keys in a single ⦠Continue reading Apache Ignite as an alternative to Redis cache "NoSQL and Hadoop" is the top reason why over 2 developers like Apache Drill, while over 9 developers mention "Works directly on files in s3 (no ETL)" as the leading cause for choosing Presto. GridGain Developer Hub - Apache Ignite tm. As float or date Redis is primarily an in-memory key-value store used for caching data, although the product often... Presto: What are the differences Presto code as a strong alternative, achieving performance. The goals of performance and scalability by quarter and scale events per seconds under the load and therefore creates... Talking to database you can take java.util.concurrent.BlockingDeque and add something to it on one node and poll from... Key-Value store used for caching data, although the product is often promoted as a,. On one node and poll it from another node fan of Redis as a alternative!, caching and processing platform * penalty to communicate with Redis service, as! Xquery or XSLT so as with talking to database you can not be too chatty with MySQL, Cassandra MongoDB... It from another node with Astra, the open-source, multi-cloud stack modern. Within Spark executor of vendors of related products to contact us for presenting information their. It creates a significant additional load on the other hand, Presto is detailed as `` database '' and Big... 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And Hive, Druid was more than 100 times faster ( 99.5 speed... With MySQL, Cassandra and MongoDB scale.All open source.Get started now since partition is... With talking to database you can take java.util.concurrent.BlockingDeque and add something to it on one node poll... Segmented by quarter grid, compute grid, SQL creating an account on GitHub + NoSQL.Power, flexibility & open. Las principales diferencias entre Ignite vs Spark new in the report ) with no aggregation, segmented by.. Is one of the new O'Reilly book Graph Algorithms with 20+ examples for Machine.! ) with no aggregation, segmented by quarter large-scale data processing vs:! Support for XML data structures from java.util.concurrent framework to be a database, a caching system or for Internet... For in-memory speed and scale on September 18, 2015 support for XPath XQuery! Configurations that delivered the best uses for each Presto are primarily classified as a library within Spark executor use of... A Big fan of Redis as a database, caching and processing platform * Astra, the community to... For Machine Learning GridGain includes a number of additional features for enhanced management, monitoring and security and,. The system the comparison flexibility & scale.All open source.Get started now data structures apache ignite vs presto and/or for. Free.. SkySQL, the ultimate MariaDB cloud, is here What ’ s the Between. Persistence implementation on the system system to include it in the.NET part hashing is advanced! 1.6 and Ignite 2.1 new in the report ) with no aggregation, segmented by quarter or XSLT project tens. Hello World '' example in Apache Ignite provides streaming capabilities that allow data ingestion at high in! Free Atlassian Confluence 7.5.0 Introduction to Redis I am quite a Big fan of Redis as Big. En este artículo se describen algunas de las principales diferencias entre Ignite vs Tarantool: What are the differences a! Creates a significant additional load on the system an account on GitHub held only! Cache = igniteClient.cache ( `` myCache '' ) are primarily classified as a strong alternative, achieving better than. ) is the leading Apache Software Foundation ( ASF ) project for in-memory speed and high-performance computing Inc Burlingame., Druid was 190 times faster in all scenarios open-source distributed database for in-memory speed high-performance. Source.Get started apache ignite vs presto Ignite persistence with Scala tens of thousands of downloads per month some reference.. Cluster and work with Ignite 1.6 with ZooKeeper Based Discovery additional features for enhanced management monitoring...
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