- Is Hadoop considered a database?
- Does pig use MapReduce?
- Can hive run without Hadoop?
- What is Hadoop architecture?
- What are three features of Hadoop?
- Is Hadoop dead?
- Is hive a NoSQL database?
- Why hive is used in Hadoop?
- Which is better Hive or Pig?
- Why is MongoDB so fast?
- Can MongoDB replace MySQL?
- Does hive require Hadoop?
- What is the difference between Hadoop and SQL?
- What is the difference between Hadoop and MongoDB?
- Is splunk a NoSQL database?
- Why pig is used in Hadoop?
- Is Pig a database?
- What is the alternative to Hadoop?
Is Hadoop considered a database?
Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers..
Does pig use MapReduce?
Apache Pig programs are written in a query language known as Pig Latin that is similar to the SQL query language. … The Pig engine converts the queries into MapReduce jobs and thus MapReduce acts as the execution engine and is needed to run the programs.
Can hive run without Hadoop?
Hadoop is like a core, and Hive need some library from it. Update This answer is out-of-date : with Hive on Spark it is no longer necessary to have hdfs support. Hive requires hdfs and map/reduce so you will need them. … But the gist of it is: hive needs hadoop and m/r so in some degree you will need to deal with it.
What is Hadoop architecture?
Hadoop is a framework permitting the storage of large volumes of data on node systems. The Hadoop architecture allows parallel processing of data using several components: Hadoop HDFS to store data across slave machines. Hadoop YARN for resource management in the Hadoop cluster.
What are three features of Hadoop?
Features of Hadoop Which Makes It PopularOpen Source: Hadoop is open-source, which means it is free to use. … Highly Scalable Cluster: Hadoop is a highly scalable model. … Fault Tolerance is Available: … High Availability is Provided: … Cost-Effective: … Hadoop Provide Flexibility: … Easy to Use: … Hadoop uses Data Locality:More items…•
Is Hadoop dead?
For several years now, Cloudera has stopped marketing itself as a Hadoop company, but instead as an enterprise data company. … And today, Cloudera is in the Enterprise Data Cloud market: hybrid/multi-cloud and multi-function analytics with common security & governance — all powered by open source.
Is hive a NoSQL database?
Hive and HBase are two different Hadoop based technologies . Hive is a SQL-like engine that runs MapReduce jobs, and HBase is a NoSQL key/value database on Hadoop. But just as Google can be used for search and Facebook for social networking, Hive can be used for analytical queries while HBase for real-time querying.
Why hive is used in Hadoop?
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
Which is better Hive or Pig?
Pig vs. Apache Pig is 36% faster than Apache Hive for join operations on datasets. Apache Pig is 46% faster than Apache Hive for arithmetic operations. Apache Pig is 10% faster than Apache Hive for filtering 10% of the data. Apache Pig is 18% faster than Apache Hive for filtering 90% of the data.
Why is MongoDB so fast?
MongoDB is fast because: Not ACID and availability is given preference over consistency. Asynchronous insert and update: What it means is MongoDB doesn’t insert data to DB as soon as insert query is processed.
Can MongoDB replace MySQL?
MySQL, MS SQL Oracle and Server are nearly synonymous with RDBMS, but MongoDB is a cross-platform document-oriented and NoSQL database. At times, it can be a wise decision to replace MySQL with MongoDB. It is a nimble database that allows fast changes of cognitive framework when apps evolve.
Does hive require Hadoop?
Hive provided JDBC driver to query hive like JDBC, however if you are planning to run Hive queries on production system, you need Hadoop infrastructure to be available. Hive queries eventually converts into map-reduce jobs and HDFS is used as data storage for Hive tables.
What is the difference between Hadoop and SQL?
SQL only work on structured data, whereas Hadoop is compatible for both structured, semi-structured and unstructured data. SQL is based on the Entity-Relationship model of its RDBMS, hence cannot work on unstructured data. … Hadoop vs SQL database – of course, Hadoop is better.
What is the difference between Hadoop and MongoDB?
MongoDB is a NoSQL database, whereas Hadoop is a framework for storing & processing Big Data in a distributed environment. MongoDB is a document oriented NoSQL database. … MongoDB is a distributed database, so it provides high availability & horizontal scalability.
Is splunk a NoSQL database?
Splunk Inc. Oracle NoSQL Database is a scalable , distributed NoSQL database, designed to provide… Data can be modeled as relational-database-style tables, JSON documents, RDF Triples…
Why pig is used in Hadoop?
Pig is a high level scripting language that is used with Apache Hadoop. Pig enables data workers to write complex data transformations without knowing Java. … Pig works with data from many sources, including structured and unstructured data, and store the results into the Hadoop Data File System.
Is Pig a database?
Apache Pig is a high-level platform for creating programs that run on Apache Hadoop. … Pig Latin abstracts the programming from the Java MapReduce idiom into a notation which makes MapReduce programming high level, similar to that of SQL for relational database management systems.
What is the alternative to Hadoop?
Few alternatives of Hadoop As a matter of fact, there are many ways to store data in a structured way which stand as an Alternative for Hadoop namely BashReduce, Disco Project, Spark, GraphLab and the list goes on. Each one of them is unique in their own way.