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
Tailor your results to perfection via flexible and fast query-time sorting. Pin specific records in a particular position to feature or merchandize them. Show results for pants when users search for trousers, or vice-versa, when you define them as synonyms. Store multiple users’ data in a single index, create API keys for each user that restrict access to just their data. Sort records on the fly by any fields in your document. For eg: sort by price, sort by popularity, etc. No duplicate indices needed. Provide more varietry in your results by grouping results. You can combine all color variations of a shirt into a single result. Only fetch records that match a given filter. Aggregate field values and get counts, min, max and avg of values across records. Search & sort results within a certain distance from a latitude/longitude or within a polygon region. Build a resilient production-grade search service, with a few simple steps.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem
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Audience
Companies and website managers in search of a solution to craft search-as-you-type experiences for their customers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
parquet.apache.org
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Company InformationTypesense
United States
typesense.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
3LC
Amazon SageMaker Data Wrangler
Apache DataFusion
Blotout
Gravity Data
Hadoop
IBM Db2 Event Store
Indexima Data Hub
Mage Platform
Mage Sensitive Data Discovery
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Integrations
3LC
Amazon SageMaker Data Wrangler
Apache DataFusion
Blotout
Gravity Data
Hadoop
IBM Db2 Event Store
Indexima Data Hub
Mage Platform
Mage Sensitive Data Discovery
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