Apache Parquet

Apache Parquet

The Apache Software Foundation
+

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About

More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.

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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies that need a powerful and fast cloud data warehouse solution

Audience

Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem

Audience

Companies and website managers in search of a solution to craft search-as-you-type experiences for their customers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$0.25 per hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/redshift/

Company Information

The Apache Software Foundation
Founded: 1999
United States
parquet.apache.org

Company Information

Typesense
United States
typesense.org

Alternatives

Alternatives

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Apache Iceberg

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Alternatives

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Site Search ONE

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Amazon S3

Amazon S3

Amazon
Apache HBase

Apache HBase

The Apache Software Foundation
Inout SiteSearch

Inout SiteSearch

InoutScripts
Apache Kudu

Apache Kudu

The Apache Software Foundation

Categories

Categories

Categories

Integrations

AWS App Mesh
Airbyte
Amazon SageMaker Data Wrangler
Bloomreach
Cleanlab
Convizit
DbGate
Hex
Longview Transfer Pricing
Lyzr
Manticore Search
MintData
Navicat for PostgreSQL
New Relic
Pelanor
Procyon
Rupert
Truedat
data.world

Integrations

AWS App Mesh
Airbyte
Amazon SageMaker Data Wrangler
Bloomreach
Cleanlab
Convizit
DbGate
Hex
Longview Transfer Pricing
Lyzr
Manticore Search
MintData
Navicat for PostgreSQL
New Relic
Pelanor
Procyon
Rupert
Truedat
data.world

Integrations

AWS App Mesh
Airbyte
Amazon SageMaker Data Wrangler
Bloomreach
Cleanlab
Convizit
DbGate
Hex
Longview Transfer Pricing
Lyzr
Manticore Search
MintData
Navicat for PostgreSQL
New Relic
Pelanor
Procyon
Rupert
Truedat
data.world
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