The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Paradedb Alternatives
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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lago
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hydra
Hydra: Column-oriented Postgres. Add scalable analytics to your project in minutes. (by hydradatabase)
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testcontainers-node
Testcontainers is a NodeJS library that supports tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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rum
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MeiliSearch
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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prism
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
paradedb reviews and mentions
- Using ClickHouse to scale an events engine
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Code Search Is Hard
Elasticsearch is good, and it does scale, but it is much more cumbersome and expensive to scale and operate than Postgres. If you use the managed service, you'll pay for the operational pain in the form of higher pricing.
The Postgres movement is strong and extensions like ParadeDB https://github.com/paradedb/paradedb are designed specifically to solve this pain point (Disclaimer: I work for ParadeDB)
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Ask HN: Best way to mirror a Postgres database to parquet?
No timeline yet, but we know it's a high-priority feature and are working hard on it. Best way would be to join our Slack (link here: https://github.com/paradedb/paradedb/blob/dev/README.md) to follow along. It will be in the coming weeks/months, though.
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Transforming Postgres into a Fast OLAP Database
You're right. We're working on this currently. You can track the issue here: https://github.com/paradedb/paradedb/issues/717
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We built our customer data warehouse all on Postgres
There are definitely ways to cleanly make Postgres scale for analytics. We didn't discuss in this blog, but we will be writing about them in the future. For example, check out what the folks at ParadeDB are doing. https://github.com/paradedb/paradedb. Neon is doing an awesome job separating compute from storage. Supabase contributed foreign data wrappers make it super easy to read from S3 into Postgres. Lots of great work going out there :)
- Show HN: Pg_analytics – Speed Up Postgres Analytical Queries by 94x
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Multi-Database Support in DuckDB
Check out https://github.com/paradedb/paradedb/tree/dev/pg_analytics, we're shipping this week
- ParadeDB – PostgreSQL for Search
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Postgresql index
Shameless plug, but I'm one of the makers of `pg_bm25` (https://github.com/paradedb/paradedb). We're making a faster tsvector/tsrank as a Postgres extension. Maybe it can help, our benchmarks show much faster performance especially as row count increases
- Building an open source vector database. Looking for advice.
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Stats
paradedb/paradedb is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of paradedb is Rust.
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