Kiwi Fabric
Kiwi Fabric provides SQL access across relational databases, NoSQL sources, REST APIs, SOAP services, and files, querying live data without keeping a stored …
What Kiwi Fabric is
Kiwi Fabric provides SQL access across relational databases, NoSQL sources, REST APIs, SOAP services, and files, querying live data without keeping a stored copy. It runs source queries in parallel, pushes supported filters and projections to those sources, then joins or aggregates results in memory. Named virtual tables let users define reusable views across sources. For multi-source writes, Saga Runner coordinates steps and runs configured compensation actions in reverse order if a step fails. Fabric AI can turn 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 first-party libraries for Python, .NET, Java, and Node.js. The browser control plane shows execution timelines, source query details, saga status, and a searchable audit log. Kiwi lists single-tenant deployments, authentication and authorization controls, and row- and column-level access controls. Pricing is on request; self-hosted deployment is listed.
Good
- Queries live data across varied sources
- Supports reusable virtual tables
- Coordinates distributed writes with compensation steps
- Offers row- and column-level access controls
- Provides REST, PostgreSQL, and Arrow Flight SQL interfaces
Watch out
- Pricing is available on request
- Launched product access is requested through the maker
Who it suits
It is aimed at engineering teams working across multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises that need coordinated writes. It may also suit teams that want data federated in memory rather than retained after a response.
Verdict
Kiwi Fabric combines cross-source SQL federation with orchestration for multi-step writes. Its listed interfaces, controls, and deployment model are relevant to teams building data services across separate systems.
The facts
Each one read from Kiwi Fabric's own pages, with the date it was checked.
What it does
- 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.checked 8 Oct 2026
- AI query generation
- Fabric AI turns natural-language requests into federated SQL that users can review and edit before execution.checked 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.checked 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.checked 8 Oct 2026
- Client libraries
- First-party client libraries are listed for Python, .NET, Java, and Node.js.checked 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.checked 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.checked 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.checked 8 Oct 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.checked 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.checked 8 Oct 2026
- Live federation
- It queries sources in parallel and combines results in memory, without ETL or a stored copy of the data.checked 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.checked 8 Oct 2026
- Purpose
- Kiwi Fabric provides cross-database SQL federation and distributed-write orchestration across relational, NoSQL, REST, and SOAP sources.checked 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.checked 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.checked 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.checked 8 Oct 2026
- Virtual tables
- Users can define named SQL views spanning multiple sources and reuse them in later queries.checked 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.checked 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.checked 8 Oct 2026
The company
- Founded
- 2025checked 28 Sep 2026
- Headquarters
- Bengaluru, Indiachecked 28 Sep 2026
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