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Kiwi Fabric
Bengaluru, India
What it is
Kiwi Fabric is paid software for running SQL across relational databases, NoSQL systems, REST APIs, SOAP services, and files without storing a copy of the data. It queries sources in parallel, pushes supported filters and projections to them, then joins or aggregates results in memory. Named virtual tables can combine sources for reuse. Saga Runner coordinates multi-step writes and runs configured compensation steps in reverse order when a step fails. Fabric AI turns natural-language requests into federated SQL that users can review and edit. Connections are available through REST, the PostgreSQL wire protocol, and Arrow Flight SQL, with libraries for Python, .NET, Java, and Node.js. A browser control plane shows execution timelines, source details, saga status, and searchable audit logs. Deployments are single-tenant, with credentials kept in the customer instance. Pricing is on request.
For and against
For
- Queries live data without retaining a copy
- Coordinates distributed writes with compensation steps
- Natural-language SQL can be reviewed and edited
- REST, PostgreSQL, and Arrow Flight SQL interfaces
- Row- and column-level access controls
Against
- Pricing is available only on request
- Launched access requires requesting entry
- Distributed queries depend on connected sources
- Self-hosted deployment requires customer infrastructure
The verdict
Kiwi Fabric combines live federation, cross-system writes, and multiple client interfaces. Its fit depends on your source systems, deployment model, and need for coordinated write workflows.
Who it suits
It is aimed at engineering teams with multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises needing distributed writes. Self-hosted deployment and row-level controls suit teams managing their own data environment.
On the record
- 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 · read 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 · read 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 · read 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 · read 8 Oct 2026
- Client libraries
- First-party client libraries are listed for Python, .NET, Java, and Node.js.kiwifylabs.com · read 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 · read 8 Oct 2026
- Distributed writes
- Its saga engine tracks multi-step writes durably and can run compensation actions when a step fails.kiwifylabs.com · read 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 · read 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.kiwifylabs.com · read 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 · read 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 · read 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 · read 8 Oct 2026
- Purpose
- Kiwi Fabric provides cross-database SQL federation and distributed-write orchestration across relational, NoSQL, REST, and SOAP sources.kiwifylabs.com · read 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 · read 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 · read 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 · read 8 Oct 2026
- Virtual tables
- Users can define named SQL views spanning multiple sources and reuse them in later queries.kiwifylabs.com · read 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 · read 8 Oct 2026
