
Airtable
Create apps that perfectly fit your team's needs
- Web
- iOS
- Android
- +2
3 alternatives · 4 questions answered
The directory
34 products matching your filters. Each one described on the same fields, so two tools can be read against each other rather than against their own marketing.
Showing 1–24 of 34

Create apps that perfectly fit your team's needs
3 alternatives · 4 questions answered

Fully managed open source data infrastructure cloud
4 alternatives · 5 questions answered

MySQL and PostgreSQL-compatible relational database built for the cloud
4 alternatives · 5 questions answered

Set up, operate, and scale a relational database in the cloud
3 alternatives · 4 questions answered

Fast, scalable cloud data warehouse from AWS
3 alternatives · 4 questions answered

Intelligent, scalable cloud database service from Microsoft
4 alternatives · 5 questions answered

Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.
3 alternatives · 5 questions answered

Globally distributed, multi-model database service from Azure
4 alternatives · 4 questions answered

SQL transformation framework enabling analytics engineers to version, test and deploy models
4 alternatives · 4 questions answered

High-performance Redis-compatible in-memory datastore with 25x better throughput
3 alternatives · 2 questions answered

SQL query engine and lakehouse layer over Iceberg tables in object storage
3 alternatives · 4 questions answered

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.
4 alternatives · 5 questions answered

Erlang MQTT broker for large IoT fleets, relicensed to BSL with production free use limited to one node
3 alternatives · 4 questions answered

Real-time data integration combining streaming, CDC, and batch
2 alternatives · 3 questions answered

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
3 alternatives · 3 questions answered

The AI-powered database built for demanding enterprise workloads
4 alternatives · 5 questions answered

Live context layer for AI agents using real-time SQL transformations
3 alternatives · 3 questions answered

Serverless analytics data warehouse built on DuckDB
2 alternatives · 3 questions answered

PostgreSQL database platform built for multi-tenant SaaS applications
3 alternatives · 3 questions answered

The world's most complete, reliable, and secure database
3 alternatives · 4 questions answered

The MySQL-compatible serverless database
4 alternatives · 4 questions answered

Fast open source time-series database for high throughput ingestion
4 alternatives · 3 questions answered

Database caching and optimization that reduces infrastructure costs 30-70%
3 alternatives · 3 questions answered

Streaming database that maintains incremental materialised views in SQL instead of Flink jobs
3 alternatives · 4 questions answered
Head to head
Pairings from this slice of the directory, each one checked by two reviewers who agreed a buyer would weigh the two against each other.
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How this works
Pricing, platforms and feature lists are taken from each vendor's own pages. Limitations, answered questions and alternatives are researched separately and carry a source URL on the page that states them. Every product is described on the same fields, so two tools can be read against each other rather than against their own marketing.
Because we did not collect any. Softwr hosts no reviews, and a rating aggregated from somewhere else is not ours to publish as though it were an assessment we made. What is shown instead is what a tool costs, where it runs, and what it is concretely bad at.
A researcher proposes them, then two independent reviewers judge one question each: would a buyer evaluating this product seriously consider that one instead. 225 of 1,841 candidates failed and were deleted, including a font inspector matched to a dark mode extension. Only pairings that survived both rounds are published.
Not to be listed. A vendor can buy a place in the results on the home page, on a category listing or on the catalogue, and where they do the result carries a Sponsored label. Everything not carrying that label is ordered on the same criteria as everything else, and a paid place never changes where an unpaid one lands: the editorial order flows around it. Where a link earns a commission that is disclosed on the page carrying it.
Prices and plan limits move without notice, so treat anything with a number on it as a starting point and check the vendor before you buy. Where a claim could go stale it carries the source it came from, which is the fastest way to tell.
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Anyone can submit a tool. A person reads every submission, checks the pricing against the vendor’s own page, and nothing is published until it passes.