Axiora vs QueryGlow: Which is Better in 2026?
A comprehensive comparison of Axiora and QueryGlow covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Axiora if:
- →You want a free tier to get started without commitment
- →You need every figure links back to the official filing and document id it came from or entity resolution across kanji, katakana and latin name variants and spvs
Choose QueryGlow if:
- →You want more affordable paid plans (from $79/mo)
- →You need runs on your own server, accessible from any browser or device or ai writes sql from plain english using only your schema, never your rows
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Axiora vs QueryGlow: At a Glance
Pricing Comparison: Axiora vs QueryGlow
Understanding the pricing differences between Axiora and QueryGlow is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Axiora has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Axiora and QueryGlow stacks up.
What Makes Each Tool Unique
🔵 Unique to Axiora
Features available in Axiora but not in QueryGlow:
- ✓Every figure links back to the official filing and document id it came from
- ✓Entity resolution across kanji, katakana and Latin name variants and SPVs
- ✓Activist tracker, unwinding scoreboards and accumulation trajectories
- ✓MCP server exposing 40+ tools for AI agents
- ✓Typed Python SDK and OpenBB Workspace integration on every tier
- ✓Webhook filing alerts and bulk Parquet export on higher tiers
🟣 Unique to QueryGlow
Features available in QueryGlow but not in Axiora:
- ✓Runs on your own server, accessible from any browser or device
- ✓AI writes SQL from plain English using only your schema, never your rows
- ✓Postgres, MySQL, MariaDB, SQLite, CockroachDB and TimescaleDB support
- ✓Blocks accidental DROPs and mass deletes
- ✓Agent access via scoped MCP tokens, read-only by default
- ✓$79 once with zero telemetry and no vendor cloud in the data path
Use Case Recommendations
Best for: Axiora
Axiora is a financial data API for Japanese equities where every figure traces back to the source filing it came from, so analysts can cite their work and AI agents can compute instead of guess. Its hardest problem is entity resolution. Japanese disclosure has no common identifier linking a holder across filings: the same investor files through funds, SPVs and offshore vehicles, and the names drift across kanji, katakana and Latin script, so in the public record each vehicle looks like an unrelated small holder. The worked example the company publishes is Toyo Engineering (6330), where sixty separately-filed names resolved to one holder and revealed a coordinated −28.48 percentage-point exit — a stake unwound from 32.72% to 4.24% across fourteen amendments, with the source document ids listed so you can check it. Coverage spans annual, semi-annual and quarterly reports, filing sections with translations, time-series with growth and CAGR, screening, rankings and comparison, company search, ratios and sectors, a filing list and calendar, health scores, buybacks, shareholdings above the 5% disclosure threshold, board composition and AGM voting, and earnings actuals and forecasts. The ownership-intelligence layer adds accumulation trajectories, an activist tracker, unwinding scoreboards, a capital-allocation classifier, a subsidiaries and relationship graph and a per-row purpose audit bundle. Developer surface is strong: an MCP server exposing 40+ AI tools, a typed Python SDK, OpenBB Workspace integration and webhook filing alerts.
Ideal use cases:
- •Teams or individuals who need every figure links back to the official filing and document id it came from
- •Teams or individuals who need entity resolution across kanji, katakana and latin name variants and spvs
- •Teams or individuals who need activist tracker, unwinding scoreboards and accumulation trajectories
- •Teams or individuals who need mcp server exposing 40+ tools for ai agents
- •Anyone focused on financial-data workflows
- •Anyone focused on api workflows
Best for: QueryGlow
QueryGlow is a self-hosted database GUI for PostgreSQL and MySQL that you run on your own server and open in any browser, which is the whole argument against the two alternatives it targets: desktop clients tied to one machine and cloud consoles that route your data through a vendor. It also has an AI query assistant with a specific boundary — the model sees your schema and writes SQL from plain English, but never sees the rows themselves, which is the distinction that makes it usable under a GDPR review where a general-purpose AI SQL tool would not be. Beyond Postgres and MySQL it works with MariaDB, SQLite, CockroachDB and TimescaleDB. Safety rails block accidental DROPs and mass deletes, and there is agent-ready access through scoped MCP tokens that are read-only by default, so a coding agent can query the database without write authority. The pricing is the other distinguishing feature: $79 once, forever, with no per-seat fees and no renewals, for unlimited team members. The site makes the comparison explicit against DBeaver Lite at $113/yr, DataGrip at $109/yr and Navicat Premium at $799.99/yr, and publishes head-to-head pages against pgAdmin, pgweb, DBeaver, DataGrip, HeidiSQL, TablePlus, Navicat, MySQL Workbench, Beekeeper Studio, Supabase Studio, Prisma Studio and Drizzle Studio. There is a live demo with no signup, and deployment guides for self-hosted and Docker setups.
Ideal use cases:
- •Teams or individuals who need runs on your own server, accessible from any browser or device
- •Teams or individuals who need ai writes sql from plain english using only your schema, never your rows
- •Teams or individuals who need postgres, mysql, mariadb, sqlite, cockroachdb and timescaledb support
- •Teams or individuals who need blocks accidental drops and mass deletes
- •Anyone focused on postgresql workflows
- •Anyone focused on mysql workflows
📊 Other Data & Analytics Tools to Consider
Axiora and QueryGlow aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is Axiora better than QueryGlow?
It depends on your needs. Axiora offers 6 key features including Every figure links back to the official filing and document id it came from and Entity resolution across kanji, katakana and Latin name variants and SPVs, while QueryGlow provides 6 features including Runs on your own server, accessible from any browser or device and AI writes SQL from plain English using only your schema, never your rows. Axiora uses a freemium model with a free tier, while QueryGlow is paid. Choose based on which features and pricing model align with your requirements.
Is Axiora cheaper than QueryGlow?
QueryGlow is cheaper, starting at $79/month compared to Axiora's $199/month. Axiora offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.
Can I use Axiora and QueryGlow together?
Yes, many users combine Axiora and QueryGlow in their workflow. Axiora excels at every figure links back to the official filing and document id it came from, while QueryGlow shines with runs on your own server, accessible from any browser or device. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Axiora and QueryGlow?
While both are data & analytics tools, Axiora emphasizes every figure links back to the official filing and document id it came from, whereas QueryGlow is known for runs on your own server, accessible from any browser or device. The best choice depends on your specific workflow and feature priorities.
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