Hadoop vs. Hazelcast vs. MarkLogic
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Hacker News, Reddit, Stack Overflow Stats |
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GitHub Stats |
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Description |
What is Hadoop?The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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What is Hazelcast?With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
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What is MarkLogic?MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.
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Want advice about which of these to choose?Ask the StackShare community! |
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Pros |
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Cons |
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Pricing |
How much does Hadoop cost?
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How much does Hazelcast cost?
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How much does MarkLogic cost?
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Companies |
What companies use Hadoop?
283 companies on StackShare use Hadoop
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What companies use Hazelcast?
26 companies on StackShare use Hazelcast
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What companies use MarkLogic?
2 companies on StackShare use MarkLogic
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Integrations |
What tools integrate with Hadoop?
16 tools on StackShare integrate with Hadoop
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What tools integrate with Hazelcast?
3 tools on StackShare integrate with Hazelcast
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No integrations listed yet
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What are some alternatives to Hadoop, Hazelcast, and MarkLogic?
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Latest News |
Elasticsearch for Apache Hadoop 6.2.0 Released
February 06, 2018
How to Get Hadoop Data into a Python Model
December 20, 2017
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
November 14, 2017
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Spring Integration Extension for Hazelcast 1.0.0 GA ...
July 17, 2017
Build a Spring Boot API with Hazelcast for Cached Us...
October 05, 2016
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Reviews of Hadoop, Hazelcast, and MarkLogic
How developers use Hadoop vs Hazelcast vs MarkLogic
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Pinterest uses Hadoop
The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.
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Vital Labs, Inc. uses Hazelcast
HazelCast is the foundation for the distributed system that hosts our APIs and intelligent workflows. We wrap the core HazelCast functions in Clojure protocols to implement micro-services on top of a coherent, single-process instance per virtual node.
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Yelp uses Hadoop
in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).
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Pinterest uses Hadoop
The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...
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