Apache Hadoop
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Build-it integrations: S3 / Kafka / Kinesis
- Exactly-once read from Kafka / Kinesis
- Replay from S3
- Data Delivery in Various Formats and Databases
- Standard ANSI-SQL functions
- Advanced functions for numbers, strings, dates, and arrays
- Extraction of geo data from IPs (using MaxMind)
- User-agent parser
- Filters
- User-defined functions in Python
- Regular or aggregated output tables
- Sessionization
- Accurate count distinct in real-time and at scale
- Nested aggregations for user/device profiling
- Data Monitoring
- Private and Public Deployment
Pricing Info
Pricing Info
Contact Upsolver for information on their basic and enterprise pricing options. You can also sign up for their 14-day trial and see if the software is a perfect fit for your business.
Integrations
Integrations
Upsolver integrates with the following business systems and applications:
- Amazon Kinesis
- Amazon S3
- Apache Kafka
- Amazon Redshift
- Amazon Athena
- ElasticSearch
- Presto
- Impala
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Sisense, SimilarWeb, Meta Networks
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
Upsolver is a data lake platform that simplifies and accelerates data streaming from various sources into useful and reliable analytics.
Company Email
info@upsolver.com
Contact No.
Company's Address
Upsolver
Sunnyvale, CA
United States
Upsolver Comparisons
Popular Upsolver 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 the event you continue having doubts about which app will perform best for your business it may be a sound idea to investigate each service’s social metrics. These metrics are quite often an indicator of how popular each software is and how extensive is its online presence.For instance, if you analyze Upsolver LinkedIn account you’ll see that they are followed by 243 people. In case of Apache Hadoop the number of followers on their LinkedIn page is 21520.
Page last modified