Alternatives

Products that do what Custom Data engineering services does

data engineering, Data Migration

1
Iteratively▲241
Capture customer data you trust
2021
2DE
Data Engineering Book – An open source, community-driven guide▲251
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com
3
MovingLake▲65
Proprietary data connectors for data & transactional systems
2022
4
Know Your Data▲121
Understand datasets & improve data quality, by Google PAIR
2021
5
Velvet▲166
Make everyone a data engineer
2024
6
Masthead Data▲122
Know compute cost of every pipeline & model in your BigQuery
2023
7
DataStories▲83
Clear solutions to complex problems
2015
8
StreamSets▲116
A single DataOps platform for data engineering
2021
9PA
Prefect – A workflow engine designed for modern data engineering▲59
2019 · github.com
10
Fortune Cookie▲143
Ask simple questions, get instant insights from your data
2024
11IB
I built an open-source data pipeline tool in Go▲200
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com
12
Census▲198
Your customer data, in all your tools ⚡
2020
13
Datamin▲73
Low-code Data Observability for modern B2B Operations
2022
14DA
Databunker – a GDPR compliant, secure storage for personal data (PII)▲106
2021 · github.com
15DE
Data Engineering Learning path – best resources▲13
2020 · awesomedataengineering.com
16SF
System for Private Data Management▲132
2020 · github.com
17
DataTable.dev▲93
A grid library for instant big data processing
2022
18
Data Warehouses by Freshpaint▲119
Customer data in any warehouse. Retroactively. In one click.
2020
19
Servant▲94
A simple cloud database for everyone
2014
20
Telmai▲98
Monitor your customer data quality in real-time
2021
21DL
Database Labs – Postgres as a Service▲46
2014 · databaselabs.io
22OS
Open-source real time data framework for LLM applications▲92
Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai
23PI
Prophecy.io – Cloud Native Data Engineering▲64
2019 · medium.com
24DM
DB Migrations as Clojure data▲31
2014 · github.com

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