Dev tools · alternatives · 2026
24 alternatives to Optimus
Data cleansing and exploration made simple with Python/Spark
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Optimus launched in 2017; newer entries below may have overtaken it.
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2022 · shalerb.org · its alternatives →
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GitHub Spark AI▲193Create and manage full-stack micro-apps with AI prompts
2024 · githubnext.com · its alternatives →
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On-demand virtual warehouse to run ad hoc queries in 30 secs
2024 · datazip.io · its alternatives →
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I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com · its alternatives →
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GitHub Spark▲249AI platform for building + deploying full-stack apps
2025 · github.com · its alternatives →
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Import CSV to PostgreSQL, generate a mock API, and 20+ more
2021 · retool.com · its alternatives →
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A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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Python stream processing for humans. Contribute to omegaml/minibatch development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com · its alternatives →
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Data Cleaner▲125"Text-to-columns" on steroids - clean your unstructured data
2024 · data-cleaning.com · its alternatives →
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Clean messy data in minutes and without coding
2020 · its alternatives →
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Next-gen massive data integration framework
2022 · seatunnel.apache.org · its alternatives →
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Tantivy▲68A full-text, horse-speed search engine library in Rust
2022 · github.com · its alternatives →
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Visions is a python library for working with user defined data type systems. Out of the box, it provides type inference and automated data cleaning of sequence data with backend specific implementations for pandas, spark, python, and numpy. We often use it as a first pass cleaning step when working with tabular data and to simplify the backend logic of both pandas-profiling[1] and our tabular data compression library compressio[2]. Because data types are user defined, we can build user customizable libraries based around types without adding code complexity. In the case of compressio that…
2022 · github.com · its alternatives →
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- 20SI
2013 · static.sparkinspector.com · its alternatives →
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:racehorse:✈️ Pegasus is a scalable, modular, polite web-crawler for Clojure - shriphani/pegasus
2016 · github.com · its alternatives →
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Apache Cloudberry 2.0.0 has been released - the first official release under the Apache Software Foundation. Key highlights: * Built on PostgreSQL 14.x with distributed query processing * Dynamic Tables: automatic, scheduled refresh of query results for real-time analytics * PAX storage format: hybrid row/column storage for better OLAP performance * ASF-compliant updates on dependencies, LICENSE/NOTICE/DISCLAIMER files Apache Cloudberry is derived from PostgreSQL and the last open-source Greenplum Database. It provides massively parallel processing (MPP) capabilities for…
2024 · github.com · its alternatives →
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I spent a long time working in the payments industry, specifically on a rather niche reporting/aggregation platform with spiky workloads that were not easily parallelized. To pump as much data through our pipeline as possible, we had to rely on complex locking schemes across half a dozen or so not-so-micro services - keeping a clear mental picture of how the services interacted for a given data source was a major headache. This problem always intrigued me, even after I no longer worked at the company, and lead to the development of Wool. If you've worked with frameworks like Ray or…
Mar 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →