Apache Hadoop
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Information Bundles
- Data Publication & Sharing
- New Hypothesis Testing with Existing Model
- Documented Datasets & Notebooks
- Resource Scaling
- Automated Management
- Data & Metadata Management System
- Workflow Manager
- Reusable Code Blocks
- Model Server
- BI Tools Integrations
Pricing Info
Pricing Info
Lentiq is a solution that enables you to create a unique, distributed data lake for your organization that’s made out of interconnected data pools supporting multiple public clouds at the same time.
If you are interested in this product, you can request early access and custom enterprise pricing by email. Contact the vendor for pricing information.
Integrations
Integrations
Lentiq can integrate with the following third-party products:
- Jupyter
- Spark
- Kafka
- PostgreSQL
- StreamSets
- SFTP
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A Data-as-a-Service platform that serves you with multi-cloud, production-scale data pools that are interconnected.
Company Email
hello@lentiq.com
Company's Address
Lentiq, Inc.
Chicago, IL 60606
USA
Lentiq Comparisons
Popular Lentiq Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Distributed Processing of Large Data Sets
- Eliminates Reliance on Hardware to Deliver High-Availability
- Scalability
- Can Scale Up From Single Servers to Thousands of Machines
- Reliable Distributed File Systems
- Divides Large Data Files into Sequential Blocks
- Distributes Blocks of Files Across Clusters
- Fault-Tolerance Capability that Replicates Blocks of Files
- Map/Reduce Distributed Parallel Computing Framework
- Utilizes the Cluster Management and Job Scheduling Features of Apache YARN
- Master/Slave Architecture
- Re-Distribution and Re-Execution of Computation Operations/Tasks
Pricing Info
Apache Hadoop is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, production, commercial, or open source development purposes for free. Thus, you can use Apache Hadoop with no enterprise pricing plan to worry about.
Integrations
Apache Hadoop integrates with the following open source projects and solutions from The Apache Software Foundation and third-party file systems:
- Ambari
- Avro
- Cassandra
- Chukwa
- HBase
- Hive
- Mahout
- Pig
- Spark
- Tez
- ZooKeeper
- YARN
- Amazon S3
- Azure Blob Storage
- OpenStack Swift
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hortonworks, Inc., Uber Technologies, Inc., McKinsey & Company
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
Company Email
apache@apache.org
Contact No.
Company's Address
The Apache Software Foundation
401 Edgewater Place, Suite 600
Wakefield, MA 01880
U.S.A.
Apache Hadoop Comparisons
Popular Apache Hadoop Alternatives
In case you continue having doubts about which product will perform best in your case it may be a good idea to analyze each service’s social metrics. Such metrics are frequently a way to see how popular a given product is and how big is its online presence. For instance, in case of Facebook Lentiq has 21 likes on their official profile while Apache Hadoop profile is liked by 1552 users.
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