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InfluxDB is a focused time-series database with a free local edition and usage-priced cloud hosting. Replacing it is less about finding a like-for-like database than matching your ingestion and query patterns to a different operating model. ClickHouse targets analytical SQL, DuckDB handles local and embedded analytics, and PostgreSQL offers a relational data layer. Managed services such as Neon change who operates the database. Before migrating, check how your existing queries, data retention and application code map to the new system.
01Why people leave InfluxDB
Version changes add migration work
Home Assistant users discuss the InfluxDB v1 app’s deprecation and migrations from v2 to v3, though a commenter says v1 remains maintained.
Relational data needs relational queries
In an r/algotrading discussion, developers weigh SQL, data modification and query patterns against specialized time-series storage.
Workload fit matters more than the label
A Reddit thread notes that minute-resolution data may suit several databases; higher-resolution workloads can change the choice.
02The alternatives, ranked by fit
- Large-scale analytics
ClickHouseClickHouseClickHouse is the closest fit here when the workload is analytical rather than transactional: its stated strength is fast analytical SQL on large datasets. It is open source and self-hostable, so teams can operate it themselves instead of relying on usage-priced InfluxDB Cloud. The listed starting price is n/a; budget for infrastructure and database operations.
Trade-off: It is a columnar analytics database, not a like-for-like time-series replacement.
8.3/10from
Custom - Local SQL analytics
DuckDBDuckDBDuckDB suits local analysis and embedded queries, with SQL over Parquet and CSV as stated use cases. It is open source, self-hostable and has a free plan, making it a low-cost option for data work that does not need a hosted time-series service. A Reddit commenter also favored its SQL and database-file model for market data.
Trade-off: A Reddit commenter warns that concurrent access involving a writer can constrain other processes.
8.5/10from
Freefree plan - Relational data layer
PostgreSQLPostgreSQLPostgreSQL is a fit when time-series records belong in a broader relational application model. It is open source and self-hostable, with a listed starting price of n/a and a free plan; you supply the hosting and operational work. Reddit users describe using plain Postgres for market data, but workload and query patterns determine whether that fits.
Trade-off: You operate the database, and it is not a dedicated time-series service.
8.4/10from
Freefree plan - Managed Postgres
NeonNeonNeon offers managed Postgres for teams that want a relational database without operating the server themselves. Its listed starting price is $15 with a free plan, and its stated features include branching and backend services. That makes it worth considering when application development workflows matter more than keeping a dedicated time-series database.
Trade-off: Paid bills depend on usage, and it is not a time-series-specific database.
7.6/10from
$15/mofree plan - MySQL applications
MySQLMySQLMySQL makes sense when your application already depends on its database and you want to keep that stack rather than introduce a separate time-series system. It is open source, self-hostable and GPL-licensed. The listed starting price is $178.33 despite a free plan; production costs and licensing depend on edition and server size.
Trade-off: The listed production price and edition-dependent licensing need review.
7.3/10from
$178.33/mofree plan - Document-shaped applications
MongoDBMongoDBMongoDB fits applications whose records are document-shaped, not teams seeking a direct time-series substitute. It offers one query API for document-centric apps, is self-hostable, and has a listed starting price of $8 with a free plan. Consider it when your application data model is the main reason for leaving InfluxDB.
Trade-off: Its document-centric model may not suit time-series analysis.
7.2/10from
$8/mofree plan
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
 InfluxDB InfluxDB (current) | 7.2 | $1,500/mo | Yes | High-resolution operational telemetry |
| ClickHouse ClickHouse | 8.3 | Custom | No | Real-time analytics on large datasets |
| DuckDB DuckDB | 8.5 | Free | Yes | Local SQL analytics and data wrangling |
| PostgreSQL PostgreSQL | 8.4 | Free | Yes | Teams that want open-source database software |
| Neon Neon | 7.6 | $15/mo | Yes | Apps needing managed Postgres |
| MySQL MySQL | 7.3 | $178.33/mo | Yes | Applications already built on MySQL |
| MongoDB MongoDB | 7.2 | $8/mo | Yes | Apps built around document-shaped data |
Questions people ask
Which InfluxDB alternative is best for analytics?
ClickHouse is the clearest fit among these options for real-time analytics on large datasets, according to its stated use case. DuckDB is aimed at local SQL analytics and working with Parquet and CSV. Choose based on where the data lives, how queries run and whether your team can operate the database.
Can PostgreSQL replace InfluxDB?
It can be a candidate when time-series records sit alongside relational application data. Reddit developers report using plain Postgres for market data, while others in the same discussion emphasize that query patterns and data volume affect the choice. We would validate your ingestion, retention and query needs before moving production workloads.
Which option has the lowest published starting price?
DuckDB, PostgreSQL and ClickHouse list n/a as their starting price and have free plans or open-source self-hosted options. Neon lists $15 with a free plan, MongoDB $8 with a free plan, and MySQL $178.33 with a free plan. Managed-service bills and self-hosting costs are not directly comparable.