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NatureQuery vs SQLer

NatureQuery

naturequery.app

SQLer

daax.ai

Side by side

FigureNatureQuerySQLer
Price from$20/mo$199/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYesYes
Plans published35
Spec score · AI SQL Generators8.1 (#5)7.7 (#12)
Database supportThe pricing page lists PostgreSQL, MySQL, SQLite, SQL Server, MariaDB, and Amazon Redshift as supported databases.The product page lists MS SQL, MySQL, PostgreSQL, and SQLite.
PurposeNatureQuery converts natural-language questions into SQL, executes the queries on a database, and exports the results.SQLer turns natural-language questions into SQL for relational databases.

Plans

NatureQuery

  • FreeFree
  • Pro$20 a month
  • Enterprise$79 a month

NatureQuery pricing →

SQLer

  • FreeFree
  • Lift-Off$199 a month
  • Growth$399 a month
  • Turbo$899 a month
  • CustomPriced on request

SQLer pricing →

In their own words

NatureQuery

NatureQuery turns natural-language questions into SQL, runs them against a connected database, and exports results as Excel spreadsheets or CSV files. Its AI is described as understanding database schemas, and the product can create bar, line, and pie charts from results. Listed database support includes PostgreSQL, MySQL, SQLite, SQL Server, MariaDB, and Amazon Redshift. Teams can invite members and share connections and saved queries using role-based access. The cloud service is available through the web and API. Its free plan costs nothing and includes 50 queries per month, one database connection, and 30 days of query history. Pro costs $20 a month and includes unlimited queries, 10 connections, collaboration for five members, API access, and priority support. Enterprise costs $79 a month and lists unlimited queries, connections, and members, plus SSO / SAML, audit logs and compliance, and dedicated support with an SLA. NatureQuery says credentials and connections are encrypted and query results are not stored.

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SQLer

SQLer turns natural-language questions into SQL for relational databases, giving developers a way to add question-to-query generation to an application. It lists MS SQL, MySQL, PostgreSQL and SQLite. Developers can supply company vocabulary, business rules, schema descriptions and question-to-SQL examples to shape generation. Schema information can be set up through direct connection, GATHERer or manual upload of SQL DDL files, and refreshed as schemas and metadata change. GATHERer runs as a Kubernetes container in the customer's application environment and transfers gathered setup information to SQLer with developer permission. SQLer generates SQL for the customer's application to execute; its product page says results remain in the customer's environment and lists single-tenant security. When a schema spans separate databases, separate queries are required for each database. DaaX reports 96% equivalence to expert-written SQL on a customer benchmark of 300 production queries. SQLer is available through web and API platforms. Its free plan includes 50 NL2SQL queries per month; paid plans start at $199 a month for 2,500 monthly queries.

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