Happy March, GizmoData community! 🙋 This has been our biggest month yet. The theme? Meet your users where they are. Whether you’re a Windows shop, a Power BI team, or an enterprise security team that needs OAuth and audit trails — GizmoSQL now has you covered. Let’s get into it.

🔎 What is GizmoSQL?

New here? GizmoSQL is an open-source SQL engine that puts the speed of DuckDB behind a proper server. It uses Apache Arrow Flight SQL as its wire protocol, so data moves between the server and your tools in columnar Arrow format — no row-by-row serialization overhead. Think of it as “DuckDB as a service”: you get DuckDB’s blazing-fast analytics, but accessible over the network from any language, BI tool, or notebook that speaks JDBC, ODBC, ADBC, or Flight SQL. GizmoSQL is free and open-source (Apache 2.0), with an optional Enterprise Edition for teams that need OAuth/SSO, audit trails, and fine-grained access control.

🪟 GizmoSQL Now Runs on Windows

The number-one request from prospective customers is here: native Windows support. GizmoSQL Server and the interactive client now run on Windows x64 with a one-click MSI installer — no WSL, no Docker, no workarounds.

The installer is DigiCert EV code-signed, so your IT team won’t see SmartScreen warnings, and DuckDB extensions (ICU, Spatial, etc.) work out of the box without needing to install the VC++ Redistributable separately.

This opens the door for teams that have been waiting to evaluate GizmoSQL in Windows-native environments.

📊 Power BI Integration — From Zero to DirectQuery

We built three new components this month to bring first-class Power BI support to GizmoSQL:

GizmoSQL ODBC Driver (v1.1.2) — A from-scratch C++ driver that connects Excel, Power BI, Tableau, Python/pyodbc, and any ODBC-compatible tool to GizmoSQL. Cross-platform (macOS, Linux, Windows) and installable via Homebrew on macOS.

GizmoSQL Power BI Connector (v1.1.2) — A signed Power Query connector that shows up right in Get Data > Database > GizmoSQL. Supports DirectQuery (live queries — no data import needed), hierarchical navigation (browse databases > schemas > tables), and query folding so Power BI pushes filters, joins, and aggregations down to the server instead of pulling everything into memory.

GizmoSQL C# ADBC Driver — The deliverable required for Microsoft Power BI certification. This puts GizmoSQL on the path to sit alongside Databricks, Snowflake, and BigQuery as a certified Power BI data source.

An MSI installer bundles the ODBC driver and signed connector together — your Power BI users can be up and running in under a minute.

🔐 OAuth/SSO Everywhere

Single sign-on is no longer optional for enterprise adoption. This month we rolled out OAuth/SSO support across the entire GizmoSQL stack:

• GizmoSQL Server handles the OAuth flow server-side — users authenticate in their browser, and the server exchanges the code for tokens

• Every driver and adapter now supports OAuth: JDBC, ODBC, Python ADBC, C# ADBC, GizmoSQL UI, gizmosqlline, dbt, SQLMesh, SQLFrame, and Ibis

• Multi-instance proxy routing lets you register a single OAuth redirect URI that serves many dynamically provisioned GizmoSQL instances — ideal for multi-tenant or auto-scaling deployments

This means your users can authenticate with Google, Okta, Azure AD, or any OIDC provider — no separate credentials to manage.

📈 OpenTelemetry Observability — Community Contributed

One of the things we’re most excited about this month is a community contribution from Summation, who built and contributed full OpenTelemetry instrumentation directly into GizmoSQL core:

• Traces that follow a query from gRPC ingress through async SQL execution — plug into Datadog, Grafana Tempo, Jaeger, or any OTel-compatible backend

• Metrics for active sessions, query counts, row throughput, ingest volume, and DuckDB connection utilization

• Log correlation with trace and span IDs so you can jump from a log line to the full request trace

This is exactly the kind of open-source collaboration we love to see. If you’re running GizmoSQL in production, you now have production-grade visibility out of the box — and it’s there because a real production user needed it and contributed it back.

🚀 GizmoSQL Core Updates (v1.18.0 → v1.19.4)

Ten releases since the last Dispatch! Beyond the headline features above:

• DuckDB v1.5.0 upgrade — native VARIANT data type and built-in GeoArrow export for GEOMETRY columns

• Catalog visibility filtering (Enterprise) — JWT-based access rules automatically hide unauthorized databases from metadata queries, so users only see what they’re allowed to see

• Interactive row limiting — the CLI client now fetches only the rows needed for display instead of streaming millions of rows, making ad-hoc exploration of large tables fast and responsive

• Query cancellation — Ctrl+C in the client cancels the query on the server, not just locally

• Cross-instance tokens for load-balanced deployments, so users don’t lose their session when routed to a different server

🖥️ GizmoSQL UI (v2.5.4)

The web-based SQL interface keeps getting better:

• Windows MSI installer with code signing — one-click setup alongside GizmoSQL Server

• OAuth/SSO login — same identity provider as the rest of your stack

• Admin screen for managing sessions and viewing instrumentation data

• Upgraded to Next.js 16 + React 19 for improved performance

📊 Grafana Plugin — Now on the Marketplace (v1.8.0)

The GizmoSQL Grafana data source plugin is now available on the Grafana Marketplace, making it easy for any Grafana user to install and connect to GizmoSQL for dashboards and alerting.

🐍 Python ADBC Driver (v1.1.3)

The adbc-driver-gizmosql package on PyPI makes connecting from Python simple:

• OAuth/SSO with a single parameter change

• DDL/DML auto-detection — cursor.execute("CREATE TABLE ...") just works, no special method needed

• Bulk ingest for loading millions of rows with automatic schema inference

• Supports Python 3.10 through 3.14

☕ JDBC Driver (v1.5.1)

• OAuth/SSO via OIDC Authorization Code + PKCE

• Reduced memory footprint — lower per-instance overhead for high-concurrency workloads

• Clean session lifecycle — connections now properly close server-side sessions on disconnect

🧩 Adapter Ecosystem

All Python adapters have migrated to adbc-driver-gizmosql and now support OAuth/SSO, making it easy to plug GizmoSQL into your existing data stack:

• ibis-gizmosql (v1.0.1) — Ibis backend with local file loading via bulk ingest and TPC-H support

• dbt-gizmosql (v1.11.8) — dbt adapter with OAuth/SSO

• sqlmesh-gizmosql (v0.2.0) — SQLMesh adapter with OAuth/SSO

• sqlframe-gizmosql (v1.1.0) — PySpark-compatible interface with OAuth/SSO

• gizmosqlline — SQLLine CLI with OAuth/SSO and JDBC v1.5.0

🌐 Community & Contributions

• xorq now includes a GizmoSQL backend — query DuckDB over Arrow Flight SQL from the xorq data orchestration framework (PR #1586)

• ADBC Quickstarts — GizmoSQL is now featured as a Flight SQL server option in the adbc-quickstarts project by Columnar Tech, with examples across Python, Go, Java, C++, Rust, and R

• Summation contributed OpenTelemetry observability to GizmoSQL core

• Fabricent joined as a GizmoData Technology Partner

📝 From the Blog

• “Freeing the Individuals from the Matrix: How GizmoSQL Makes Your Database AI-Agent Ready” — guest post by Chris Harrison exploring AI-powered SQL agents backed by GizmoSQL, DuckDB, and Claude

• GizmoSQL Windows release video now on the homepage

• Power BI Connector announcement on the news page

• Homepage revamp with a benchmark carousel, new Customers page, and refreshed messaging

• 1TB TPC-H benchmark updated: 108.88 seconds

🏢 GizmoSQL Enterprise Edition

Enterprise Edition gives production teams the governance and observability they need:

• Catalog visibility filtering — users only see the databases they’re authorized to access

• DuckLake-backed session auditing — centralized telemetry across multiple GizmoSQL instances

• Multi-instance OAuth routing — single redirect URI for auto-scaling deployments

• KILL SESSION — terminate active sessions via SQL

Pricing:

• Core Edition: Free forever (Apache 2.0)

• Enterprise Edition: $500/month per server

• Enterprise+: Custom pricing for volume discounts and SLAs

☁️ Coming Soon: GizmoData Cloud Data Platform

The managed GizmoSQL platform continues to take shape — the Nexus API now supports per-instance license edition, instrumentation, and OAuth configuration. More to share soon.

💡 Looking Ahead

• Power BI certification — on the path to becoming a Microsoft-certified Power BI connector

• Shaper — SQL API endpoints, fullscreen dashboard cards, read-only mode, and AI-powered features in development

• Continued GizmoEdge and DuckLake integration work

That’s a wrap for March 2026 — our biggest month yet! Questions, feedback, or want a demo? We’d love to hear from you. 🚀

🚀 GizmoSQL Updates

GizmoSQL is our open-source, high-performance SQL engine powered by DuckDB and Apache Arrow Flight SQL. It lets you run DuckDB remotely with blazing-fast Arrow-native data transfer, full TLS/mTLS security, and seamless integration with tools like Python, DBeaver, and Tableau.

⬆️ DuckDB v1.4.4 Upgrade

GizmoSQL now runs on DuckDB v1.4.4, bringing all the latest performance improvements and bug fixes from the DuckDB team.

🗺️ Native Geospatial Support (v1.15.1)

Spatial data users rejoice! GizmoSQL now includes built-in support for geospatial data:

• GEOMETRY Type - Native spatial data type support

• 100+ Spatial Functions - Full suite of geospatial operations

• GeoArrow Export - Efficient Arrow-native transport of geospatial data through Flight SQL

• GeoPandas Integration - Seamless Python geospatial workflows

📚 New Documentation Site

We’ve launched a brand new documentation site with improved navigation and comprehensive guides:

• 🔐 Token Authentication Guide - Step-by-step instructions for configuring token-based auth

• 🦆 DuckLake Integration Documentation - Complete guide to setting up and using DuckLake with GizmoSQL

• 🐧 Linux Homebrew Support - Our Homebrew tap now supports Linux in addition to macOS

☕ JDBC Driver v1.4.1

We’ve released JDBC Driver v1.4.1 with updated download links and improved compatibility. Our custom JDBC driver supports server-side query cancellation—a feature not available in the base Arrow Flight SQL JDBC driver. This means tools like DBeaver can actually cancel long-running queries instead of just disconnecting!

The driver is now available on Maven Central under our new com.gizmodata namespace. We’ve also updated gizmosqlline—our command-line SQL client—to use the new driver.

👉 Maven Central | Documentation

🖥️ Introducing GizmoSQL UI

We’re excited to announce GizmoSQL UI—a web-based SQL interface that makes working with GizmoSQL servers a breeze! No more fiddling with command-line tools or complex setup.

Features include:

• 🔌 Connection Management - Connect to GizmoSQL servers with TLS and authentication support

• ✏️ Monaco SQL Editor - Syntax highlighting and autocomplete powered by the same editor as VS Code

• 📊 Results Grid - View query results in a responsive table with type-aware formatting

• 🗂️ Schema Browser - Browse catalogs, schemas, tables, and columns

• 📤 Export Options - Export results to CSV, TSV, JSON, or Parquet formats

Install via Homebrew and you’re up and running:

brew install gizmodata/tap/gizmosql-ui
gizmosql-ui


👉 GitHub | Releases

🧩 Adapter Ecosystem Growth

The GizmoSQL adapter ecosystem continues to expand, making it easier to plug GizmoSQL into your existing data stack:

• SQLMesh Adapter - Use GizmoSQL as a backend for your data transformation pipelines. SQLMesh is a modern alternative to dbt, and now you can leverage GizmoSQL’s speed for your SQL-based data modeling workflows.

• PySpark SQLFrame Adapter - Write familiar PySpark DataFrame code, but execute it against GizmoSQL instead of Spark. Perfect for teams who want GizmoSQL’s performance without rewriting their existing PySpark pipelines.

🔧 Bug Fixes & Improvements

• Fixed connection mutex issue to allow multiple cursors per connection

• Improved catalog access propagation and instrumentation schema checks

• Enhanced system info logging capabilities

🏢 GizmoSQL Enterprise Edition

We’re excited to announce that GizmoSQL Enterprise Edition is now available! 🎉 Built for production deployments, Enterprise Edition adds powerful features on top of our free, open-source Core Edition.

✨ Enterprise Features

📊 Session Instrumentation & Auditing Track server instances, client sessions, SQL statements, and query executions. All records are stored in DuckDB for analysis and auditing, with built-in views like active_sessions, session_activity, and session_stats.

🦆 DuckLake-Backed Instrumentation New in v1.16.0! Capture and analyze query metrics directly within a DuckLake catalog, providing deeper insights into your workload performance and usage patterns. For organizations with multiple GizmoSQL instances - this feature lets you centralize telemetry data - for easy reporting of performance characteristics across your infrastructure.

⚡ KILL SESSION Command Terminate active client sessions via SQL with KILL SESSION '<session-id>'. Perfect for managing runaway queries or rogue connections. Requires admin role.

🔒 Per-Catalog Permissions Fine-grained access control via bootstrap tokens. Use the catalog_access JWT claim to grant read, write, or no access to specific catalogs on a per-user basis.

💰 Pricing

• Core Edition - Free forever (Apache 2.0 open-source)

• Enterprise Edition - $500/mo per server with priority support

• Enterprise+ - Custom pricing for volume discounts and SLAs

👉 Learn more about GizmoSQL editions

🎤 DuckDB Developer Meeting - Amsterdam

Philip Moore presented “GizmoEdge: A distributed DuckDB engine for IoT” at the inaugural DuckDB Developer Meeting #1 in Amsterdam on January 30th! 🇳🇱 It was fantastic to connect with the DuckDB community and share our vision for distributed analytics at the edge.

📺 The talk is now available on YouTube - watch it here!

🌐 GizmoEdge Progress

GizmoEdge is our distributed SQL engine that brings warp-speed analytics to the edge. It coordinates fleets of lightweight DuckDB workers across devices, regions, and clouds—enabling real-time queries over distributed data without the need for centralized ETL.

Recent highlights include:

• ➗ Distributed Query Handling for AVG Aggregates - Proper distributed computation of average functions across edge nodes

• 🐍 Python 3.14 Support - Keeping pace with the latest Python releases

• 📦 We’ve shipped over a dozen releases since December, now at v0.0.126

Our early access program is still open - if you’re interested in bringing analytics to the edge, let us know!

📝 Blog & Guest Articles

⚡ ADBC Flight SQL 1.10.0: Bulk Ingestion for GizmoSQL

The new ADBC Flight SQL Python driver 1.10.0 brings bulk ingestion to Arrow Flight SQL servers like GizmoSQL. Load millions of rows directly from Python or DuckDB with automatic schema inference. 👉 Read more

✍️ Guest Articles

We’re grateful for the community voices helping spread the word about GizmoSQL:

• 🤔 “What the Heck is GizmoSQL?” by Shawn Gordon - A deep dive into what makes GizmoSQL tick, originally published on HackerNoon. Read it

• ☸️ “Introducing GizmoSQL Operator” by Nima Khoshini - Learn about the GizmoSQL Kubernetes Operator and how it reduces operational costs for large-scale SQL queries. Read it

💬 Customer Spotlight

We’re thrilled to have production customers trusting GizmoSQL for their critical data infrastructure! 🙏

“Since partnering with GizmoData, we’ve gone live in production with one of our primary customers. GizmoSQL has become a critical part of our infrastructure, and we look forward to continuing the partnership.”

— Hema Nagarajan, Director of Engineering at Summation

“GizmoSQL fits right into our stack — performant, flexible, and reliable. It’s a key piece of how we deliver unified observability at Randoli.”

— Rajith Attapattu, Founder & CTO at Randoli

🧠 Upstream Contributions

We’re proud to continue contributing to the open-source ecosystem:

Apache Arrow ADBC

• 📥 Bulk Ingest Support for Go Flight SQL Driver (PR #3808) - Our contribution enables efficient bulk data loading through the Go ADBC Flight SQL driver

• 🐍 Python Cursor Close Fix (PR #3810) - Improved resource cleanup in the Python driver manager

These contributions help strengthen the entire Arrow Flight SQL ecosystem that GizmoSQL builds upon.

☁️ Coming Soon: GizmoData Cloud Data Platform

We’re building a fully managed GizmoSQL hosting platform with additional enterprise features:

• 📁 Full catalog support

• 👥 Organization management

• 📝 SQL Worksheets

• 🐍 Python notebooks

• 📊 Data visualization

• 🛟 24/7 support

Interested? 👉 Join the waitlist!

💡 Looking Ahead

We have an exciting roadmap for Q1 2026, including continued GizmoEdge development, additional DuckLake integrations, and the Cloud Data Platform. Stay tuned!

Thank you for being part of the GizmoData community. As always, we’d love to hear your feedback and use cases. 💙

Until next time,

The GizmoData Team

Want to stay updated? Subscribe to The GizmoData Dispatch for monthly updates on GizmoSQL, GizmoEdge, and the broader data ecosystem. ✉️

As 2025 wraps up, we’re closing the year with big leaps for both GizmoSQL and GizmoEdge — and some exciting news heading into 2026.

🚀 GizmoSQL Updates

⚡ Bulk Ingestion Now Available
Our latest release introduces server-side Bulk Ingestion, allowing you to ship entire Arrow datasets directly into GizmoSQL server.
This breakthrough makes it effortless to push large datasets to DuckLake and other DuckDB-powered data lakes — no serialization or manual file staging needed.

We’re also contributing client-side improvements to the Apache Arrow ADBC codebase so that Go and Python clients can take full advantage of this endpoint. (See the “In the Works” section below for links!)

🧩 ADBC Scanner Extension from Query.Farm
Our brilliant friends at Query.Farm have built a DuckDB ADBC Scanner extension, which lets DuckDB query ADBC data sources directly — including GizmoSQL.
That means you can now reference GizmoSQL servers right from your local DuckDB CLI, or even chain multiple GizmoSQL instances together for federated queries!

👉 Try it yourself with our demo server and example here — running on our dime.

🪣 Upgraded to DuckDB v1.4.3
GizmoSQL now runs on DuckDB v1.4.3, which adds support for Azure Blob Storage writes — perfect for modern cloud workflows.

⚙️ Configurable Query Timeouts
You can now adjust the server’s query timeout both globally and per session via SQL:

-- Global (admins only)
SET GLOBAL gizmosql.query_timeout = 60;

-- Session-specific
SET gizmosql.query_timeout = 30;

🔉 Independent Log Levels
Admins can now set independent log levels for query and authentication logs, making it easier to tune verbosity without losing critical insight.

🧵 Better Concurrency Handling
We continue to tighten our concurrency architecture: shorter mutex locks, shared locks for read operations, and optimized thread coordination add up to dramatically improved throughput.

☸️ Kubernetes Operator by the Community
Big thanks to Nima Khoshini, who contributed a new GizmoSQL Kubernetes Operator!
This makes provisioning GizmoSQL instances on Kubernetes a breeze.

🏢 Introducing GizmoSQL Enterprise Edition

We’re thrilled to announce the upcoming GizmoSQL Enterprise Edition — a commercially licensed version that extends the already robust open-source GizmoSQL Community Edition with advanced enterprise features, including:

• 🔐 Role-Based Access Control (RBAC) with system, catalog, schema, and table/view-level privileges

• 🔑 Single Sign-On (SSO) for seamless authentication

• 📊 OpenTelemetry integration for observability and tracing

• 🧑‍💻 Session management and monitoring — admins can view or terminate sessions in real time

• 🤝 Enterprise support with SLAs and direct access to our engineering team

• 🧭 Roadmap influence — customers help shape future product direction

If your organization needs enterprise-grade support, compliance, and visibility for your DuckDB-powered (and DuckLake) workloads, GizmoSQL Enterprise Edition is built for you.

🌐 GizmoEdge Progress

GizmoEdge continues to evolve toward warp-speed distributed SQL — powered by a fleet of DuckDB workers that collaborate across devices and regions.

We’re currently seeking design partners interested in testing real-time, distributed query execution — especially for IoT use cases where you want to query your fleet without ETL.

If you want to join the early access program, reach out at gizmodata.com or reply to this newsletter!

🧠 In the Works: Contributing Upstream to Apache Arrow ADBC

We’re actively collaborating with the Apache Arrow team to improve the ADBC client libraries:

• PR #3808 – Enables Go and Python clients to use GizmoSQL’s new Bulk Ingestion endpoint seamlessly.

• PR #3810 – Fixes cursor cleanup when closing connections in the Python driver manager.

These improvements will make ADBC clients more robust, performant, and ready for enterprise use with GizmoSQL and beyond.

🎤 Upcoming Event

GizmoData Founder Philip Moore to Speak at the DuckDB Developer Meeting 2026
We’re excited to announce that Philip will be speaking about GizmoEdge at the DuckDB Developer Meeting on January 30, 2026.
If you’ll be in Amsterdam, stop by and say hi — and get a sneak peek at what’s next for distributed DuckDB compute.

💡 That’s a Wrap

2025 was the year we proved that open columnar data can scale from edge devices to the cloud — and 2026 will be the year we make it universal.

From all of us at GizmoData — thank you for your support, feedback, and enthusiasm throughout the year.
See you in Amsterdam 👋

💬 Call to Action

If your organization wants to:

• Run GizmoSQL or GizmoEdge in production

• Get enterprise-grade support for your data platform

• Or explore modern data lakehouse architecture with the help of our team

👉 Contact us at gizmodata.com — we’d love to collaborate.

Hi folks 👋,

Thanks for subscribing to the GizmoData Dispatch newsletter — we are PUMPED to bring you the November 2025 edition.

At GizmoData, we believe lightning-fast analytics should be accessible to businesses of every size — and at a fraction of the cost of other platforms.

⭐️ GizmoSQL — Lightning-Fast SQL Server

GizmoSQL is an open-source Arrow Flight SQL server powered by DuckDB, designed to make analytics faster, cheaper, more secure, and simpler than ever.

Over the past month, we’ve made major progress on integrations and tooling — making GizmoSQL even more compatible with reporting, ETL, and data engineering systems.

🔗 Highlights

💥 SQLFrame Integration

We forked the SQLFrame utility repo to enable GizmoSQL as a drop-in replacement for Spark when executing PySpark DataFrames.

➡️ This can reduce compute costs by 75% or more compared to Databricks for workloads under 5 TB — and yes, it even works inside a Databricks notebook.

Repo: https://github.com/gizmodata/sqlframe

⬆️ DuckDB Upgrade

We upgraded GizmoSQL to the latest DuckDB v1.4.2 release — unlocking every new DuckDB feature, including the new Vortex file format.

⬆️ Arrow Flight Upgrade

We also updated GizmoSQL’s Arrow Flight SQL engine to v22.0.0, ensuring all customers get the latest Arrow capabilities and performance improvements.

❤️ Customer Testimonials

More customers are adopting GizmoSQL as an alternative to “base DuckDB,” MotherDuck, Databricks, Snowflake, Oracle, and more.

GizmoSQL can chew through billions of rows in seconds — outperforming engineered systems that cost millions… for just pennies. If it sounds unbelievable, try it. You have nothing to lose.

We even saw someone post a totally unsolicited testimonial in the DuckDB Discord this month!

🏢 Enterprise Edition

Did you know GizmoData offers an Enterprise version of GizmoSQL with premium features?

Includes:

• 24/7 support with SLAs

• Prioritized bug triage and security fixes

• Commercial license with warranty & indemnity

• Custom releases with private features

• Roadmap influence for top-tier customers

Plus:

• A dbt adapter → https://pypi.org/project/dbt-gizmosql/

• Many integrations → https://gizmodata.com/gizmosql/#adapters

• Try it online →

  https://gizmosql.gizmodata.com

🔐 You Can SECURELY Run DuckDB with GizmoSQL + DuckLake

Running “base DuckDB” directly against your lake requires sharing cloud and Postgres credentials with every end-user.

GizmoSQL fixes this by:

• Centralizing secret management

• Enforcing authentication before lake access

• Allowing read-only, token-based users

• Supporting DuckDB extensions remotely

GitHub → https://github.com/gizmodata/gizmosql
More info and benchmarks → https://gizmodata.com/gizmosql

🌍 GizmoEdge — Distributed Analytics Everywhere

GizmoEdge is the world’s first distributed DuckDB SQL engine — allowing you to power workloads across VMs, Kubernetes, and even IoT devices.

🏆 GizmoEdge was #1 in the world on Hacker News!

And yes… it keeps getting better.

• 🚀 Proven fastest SQL database engine in the world

• ⚡ Scales to thousands of DuckDB workers

• 🔄 Uses WebSockets + Arrow IPC — ZERO serialization/deserialization overhead

Watch us run the 1-trillion-row challenge here:

GizmoEdge is still in preview — we are actively looking for design partners for OLAP and/or distributed edge workloads.

Try it free (just sign in):
➡️

https://gizmoedge.gizmodata.com

The GizmoEdge worker app is on the Apple App Store — meaning you can literally use your iPhone, iPad, or Mac as a DuckDB worker. Try it today!

🧩 What’s Next

We’re working on:

• ETL workflow guides showing how to combine dbt, Dagster, and GizmoSQL

• Tutorials on connecting Tableau, Superset, PowerBI, Metabase, etc.

• GizmoSQL Cloud (beta) — fully managed SQL over your data lake

• New GizmoSQL Features

  • Enhanced RBAC (system / schema / object level)

  • Bulk data ingestion (server + ADBC client improvements)

  • DuckDB extension for remote GizmoSQL connectivity

  • dbt adapter + Metabase driver (released 🎉)

  • Benchmarks + customer case studies

🙏 Thank You

Thanks for reading — and for being part of the GizmoData community.

We’re building the fastest, most cost-efficient data platform in the world, and we genuinely appreciate your interest and support. Whether you’re testing GizmoSQL, kicking the tires on GizmoEdge, or just curious about the future of analytics — we’re thrilled to have you here.

Want to learn more?

➡️ Visit

https://gizmodata.com

for product details, benchmarks, open-source repos, and enterprise offerings.

See you next month! 🚀

💬 Join the Conversation

Follow us here:

• LinkedIn → https://www.linkedin.com/company/gizmodata

• X → https://x.com/gizmodata777

• YouTube → https://www.youtube.com/@GizmoData

• GitHub → https://github.com/gizmodata

• PyPI → https://pypi.org/org/gizmodata/

Thanks for subscribing to the GizmoData newsletter — we’re thrilled to have you on board!

At GizmoData, we’re building the future of SQL analytics, from lightning-fast data lake queries in the cloud to distributed compute at the edge.

Here’s what we’ve been up to:

🧠 GizmoSQL — Open Source, Cloud-Ready Analytics

GizmoSQL is an open-source Arrow Flight SQL Server powered by DuckDB, designed to make analytics faster, cheaper, and simpler than ever.

• Run complex queries directly against Parquet, Iceberg, or Delta tables.

• Connect via ODBC, JDBC, or ADBC — with integrations for dbt, Superset, and Metabase.

• Benchmarks show it running 1TB TPC-H in seconds, with cloud costs measured in cents.

• Support concurrent users with the powerful DuckDB engine - with ACID compliance, full transaction support, robust security - including token-based authentication, and more!

More customers are choosing GizmoSQL as a powerful alternative to Snowflake and Databricks. It can lower your costs by 90% or more!

Check it out on GitHub → github.com/gizmodata/gizmosql

View more info including benchmarks and more → gizmodata.com/gizmosql

🌍 GizmoEdge — Distributed Analytics Everywhere

GizmoEdge takes the same powerful DuckDB engine — and runs it everywhere as a powerful distributed SQL engine.
From laptops and iPhones to Kubernetes pods and IoT devices, GizmoEdge turns your entire environment into a distributed query engine.

• Each device becomes a compute node.

• Queries are automatically split and run in parallel.

• Perfect for low-latency IoT analytics, privacy-preserving AI, and offline edge data sync.

We ran the 1 Trillion Row Challenge with GizmoEdge - in less than 5 seconds! Watch our video:

Please note: GizmoEdge is still in preview - we are looking for design partners to power their OLAP and/or distributed edge IoT data workloads.

Learn more → gizmodata.com/gizmoedge

🧩 What’s Next

We’re working on:

• GizmoSQL Cloud (beta) — a fully managed platform for running SQL over your data lake.

• Enhancing GizmoSQL — we are working on adding many new features to GizmoSQL - namely:

  • Enhanced RBAC - including system, schema, and object level permissions

  • Bulk data ingestion - enhancing both the GizmoSQL server and the ADBC client to support bulk ingestion

  • DuckDB extension allowing GizmoSQL and DuckDB users to connect to running GizmoSQL instances - think “database link”.

• dbt-GizmoSQL adapter and Metabase driver (already released 🎉).

• Benchmarks + case studies showing real-world speed and cost savings.

💬 Join the Conversation

Follow us on LinkedIn for product updates, benchmarks, and case studies.
Or just reply to this email — we’d love to hear what you’re building.

If you have questions or would like to talk about enterprise support options for GizmoSQL or licensing GizmoEdge - contact GizmoData at: info@gizmodata.com - or call: 1 (866) GIZMODATA today. We also offer commercial licensing for GizmoSQL with indemnity for those interested in warranty beyond the Apache 2.0 license.

Thanks for being part of the GizmoData journey — this is just the beginning.

– Philip Moore
Founder, GizmoData