Apache Kudu

Apache Kudu

The Apache Software Foundation
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About

Anyrow is an AI-native operational database. It turns documents, images, audio, video, email, and other databases into typed rows inside a live relational database — one schema end to end. Rows arrive four ways: upload a file, migrate from a competitor (Parseur, Docparser, Airtable, Notion, Sheets, Postgres), bidirectional sync with Sheets / Airtable / Notion / Postgres, or direct CRUD via dashboard grid or REST/SDK. Use all four, any one, or mix per table. Every row keeps its source — page, bounding box, or audio timestamp. Corrections compound into better extractions over time, per-customer, never shared. Typed columns, relational fields (link / lookup / rollup), entity views, full-text search, natural-language queries, row-level audit log, soft deletes, smart caching, SSE streaming, typed SDKs (TypeScript, Python, Go, Rust), webhooks, OpenAPI spec. Time to first row: under 60 seconds. Free tier available.

About

A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.

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

Finance and accounts-payable teams, sales and RevOps teams, operations teams, indie developers, data engineers, and SaaS companies handling high volumes of documents, invoices, contracts, meeting recordings, emails, or mixed structured and unstructured data. Industries include finance, legal, healthcare, logistics, insurance, real estate, education, and professional services.

Audience

Companies and professionals looking for an open source data storage engine solution to facilitate their data analysis processes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$49/month/user
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

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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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anyrow
Founded: 2025
Croatia
anyrow.ai/

Company Information

The Apache Software Foundation
Founded: 1999
United States
kudu.apache.org/overview.html

Alternatives

Alternatives

Apache Hudi

Apache Hudi

Apache Corporation
Apache Parquet

Apache Parquet

The Apache Software Foundation
PostgreSQL

PostgreSQL

PostgreSQL Global Development Group
Apache HBase

Apache HBase

The Apache Software Foundation

Categories

Categories

Integrations

Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop

Integrations

Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
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