Kiwi Fabric

Paid APISelf-hostedWeb

What Kiwi Fabric is

Kiwi Fabric runs SQL queries across relational databases, NoSQL sources, REST APIs, SOAP services, and files using live data without retaining a copy after the response. It queries sources in parallel, pushes supported filters and projections to them, then joins or aggregates results in memory. Users can define named virtual tables spanning sources and reuse them in later queries. Saga Runner coordinates multi-step writes across systems and runs configured compensation steps in reverse order if a step fails. Fabric AI converts natural-language requests into federated SQL that users can review and edit before execution. Connection options include a REST API, PostgreSQL wire protocol, and Arrow Flight SQL, with a browser control plane and first-party libraries for Python, .NET, Java, and Node.js. The product lists role-based authorization and row- and column-level access controls. Each customer has a single-tenant deployment, and credentials remain within that instance. Pricing is available on request.

Who it suits

Kiwi Fabric is intended for engineering teams working across multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises with distributed-write needs.

What it does well

Queries live data without retaining a copy.
Supports relational, NoSQL, REST, SOAP, and file sources.
Offers REST API, PostgreSQL wire protocol, and Arrow Flight SQL.
Includes row- and column-level access controls.
Provides query timelines and a searchable audit log.

What to know first

Pricing is available on request.
Prospective users need to request access.
Direct engineering support is described for design partners.

Getting started

Visit the Kiwi Fabric product website.
Request access from the maker.
Choose an API, self-hosted, or web deployment route.
Connect clients through REST, PostgreSQL wire protocol, or Arrow Flight SQL.
Use a listed client library for Python, .NET, Java, or Node.js.

Verdict

Kiwi Fabric combines live cross-source SQL federation with coordinated distributed writes and several client interfaces. It may suit teams that need those capabilities across multiple systems and want data access controls at the federation layer.

Questions

How is Kiwi Fabric priced?

It is a paid product, with pricing on request.

Can Kiwi Fabric be self-hosted?

Yes. Self-hosted deployment is listed, alongside API and web platforms.

What sources can it query?

Listed sources include relational databases, MongoDB, Couchbase, Cassandra, Redis, REST APIs, SOAP services, and files.

Which tools can connect to Kiwi Fabric?

Clients can use REST, PostgreSQL wire protocol, or Arrow Flight SQL. Listed libraries include Python, .NET, Java, and Node.js.

How does it handle customer data?

Each customer has a single-tenant deployment, and credentials stay within that instance. Query data is federated in memory and not retained after the response.

Who makes Kiwi Fabric?

Kiwi Fabric is from Kiwify Labs. The company lists Bengaluru, India as its headquarters and 2025 as its founding year.

Facts from Kiwi Fabric's own pages

Access and support: Kiwi Fabric is described as launched; the maker invites prospective users to request access and says it provides onboarding and direct engineering support for design partners. · kiwifylabs.com, 8 Oct 2026
AI query generation: Fabric AI turns natural-language requests into federated SQL that users can review and edit before execution. · kiwifylabs.com, 8 Oct 2026
Analytics tools: The PostgreSQL wire protocol is described as compatible with Tableau, Power BI, pgAdmin, psql, and other PostgreSQL-compatible tools; Arrow Flight SQL is listed for Apache Spark, Polars, and DuckDB. · kiwifylabs.com, 8 Oct 2026
Client interfaces: Kiwi Fabric offers a REST API, PostgreSQL wire protocol, Arrow Flight SQL, and first-party client libraries for Python, .NET, Java, and Node.js. · kiwifylabs.com, 8 Oct 2026
Client libraries: First-party client libraries are listed for Python, .NET, Java, and Node.js. · kiwifylabs.com, 8 Oct 2026
Deployment and data handling: The product page describes a single-tenant deployment per customer and says database credentials stay within the customer's instance; query data is federated in memory and not retained after the response. · kiwifylabs.com, 8 Oct 2026
Distributed writes: Its Saga Runner coordinates multi-step writes across sources and automatically runs configured compensation steps in reverse order when a step fails. · kiwifylabs.com, 8 Oct 2026
Federated queries: The engine queries sources in parallel, pushes supported filters and projections to each source, and joins or aggregates results in memory. · kiwifylabs.com, 8 Oct 2026
Founded: 2025 · kiwifylabs.com, 28 Sept 2026
Headquarters: Bengaluru, India · kiwifylabs.com, 28 Sept 2026
Integrations: The product page lists relational sources including PostgreSQL, SQL Server, MySQL, Oracle, SQLite, and others, plus MongoDB, Couchbase, Cassandra, Redis, REST APIs, and SOAP services. · kiwifylabs.com, 8 Oct 2026
Intended users: The maker identifies engineering teams with multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises with distributed-write needs. · kiwifylabs.com, 8 Oct 2026
Live federation: It queries sources in parallel and combines results in memory, without ETL or a stored copy of the data. · kiwifylabs.com, 8 Oct 2026
Observability: The control plane provides execution timelines, per-source query details, saga step status, and a searchable audit log of query and saga executions. · kiwifylabs.com, 8 Oct 2026
Purpose: Kiwi Fabric provides cross-database SQL federation and distributed-write orchestration across relational, NoSQL, REST, and SOAP sources. · kiwifylabs.com, 8 Oct 2026
Query interfaces: Clients can connect through a REST API, PostgreSQL wire protocol, or Arrow Flight SQL; the product also includes a browser-based control plane. · kiwifylabs.com, 8 Oct 2026
Security: Kiwi Fabric lists password, API-key, and domain-based authentication, role-based authorization, and row- and column-level access controls enforced at its data surface. · kiwifylabs.com, 8 Oct 2026
Support: Kiwify Labs offers architecture and engineering teams help with use-case evaluation, proof-of-concept work, integration design, implementation, and production adoption. · kiwifylabs.com, 8 Oct 2026
Virtual tables: Users can define named SQL views spanning multiple sources and reuse them in later queries. · kiwifylabs.com, 8 Oct 2026
What it does: Kiwi Fabric runs SQL queries across relational databases, NoSQL sources, REST APIs, SOAP services, and files using live data without storing a copy. · kiwifylabs.com, 8 Oct 2026
Who it is for: The maker identifies engineering teams with multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises needing distributed writes as intended users. · kiwifylabs.com, 8 Oct 2026

Where Kiwi Fabric stands on Freedom251

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