Apache ParquetThe Apache Software Foundation
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Related Products
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About
We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.
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About
Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint. Hypertable delivers maximum efficiency and superior performance over the competition which translates into major cost savings. A proven scalable design that powers hundreds of Google services. All the benefits of open source with a strong and thriving community. C++ implementation for optimum performance. 24/7/365 support for your business-critical big data application. Unparalleled access to Hypertable brain power by the employer of all core Hypertable developers. Hypertable was designed for the express purpose of solving the scalability problem, a problem that is not handled well by a traditional RDBMS. Hypertable is based on a design developed by Google to meet their scalability requirements and solves the scale problem better than any of the other NoSQL solutions out there.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem
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Audience
Enterprises looking for a scalable database solution to make their business-critical big data applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
parquet.apache.org
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Company InformationHypertable
United States
www.hypertable.com
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Alternatives |
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Categories |
Categories |
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Integrations
Hadoop
Supported
APERIO DataWise
Supported
Arroyo
Supported
Blotout
Supported
CSViewer
Supported
Data Sentinel
Supported
Gable
Supported
GribStream
Supported
IBM Db2 Event Store
Supported
Mage Platform
Supported
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Integrations
Hadoop
Supported
APERIO DataWise
Not Supported
Arroyo
Not Supported
Blotout
Not Supported
CSViewer
Not Supported
Data Sentinel
Not Supported
Gable
Not Supported
GribStream
Not Supported
IBM Db2 Event Store
Not Supported
Mage Platform
Not Supported
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