Alternatives
Products that do what Advanced ETL Processor Enterprise 6.5 does
Self-Hosted ETL Without Per-Row or Usage Fees
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2017 · singer.io
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2017 · engblog.nextdoor.com
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Hi HN, I'm Alon, and I'm building Alien, an open-source platform for deploying your software into your customer's environment and keeping it fully managed. In my previous startup, I heard the same question from every single enterprise customer over and over again: "My data is sensitive. Can I deploy your product to my own cloud account?" Self-hosting is becoming very popular because it lets users keep their data private, local, and inside their own environment. Unfortunately, self-hosting breaks down when someone starts paying for your software. Especially if it's an enterprise customer.…
Apr 2026
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I built a new 8-bit CPU in VHDL from scratch (starting from the ISA). I felt that most educational soft-cores hide too much behind abstraction, eg. if I can do a+b with a single assignment that calls an optimized arithmetic library, then why did I learn the ripple carry adder in the first place ? And why did I learn flip flops if I can do all my control logic with a simple PROCESS statement like I would with a programming language ? Of course abstraction is the main selling point of HDLs, but would it work if I tried to keep strictly structural and rely on ieee.std_logic_1164 only ? Well, it…
Jan 2026 · github.com
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We've open-sourced our no-code ETL framework for Vector Data processing. The VectorETL framework allows Data & AI engineers seamlessly process data from multiple data sources (S3, MySQL, Postgres, Salesforce) to ALL MAJOR vector databases (Pinecone, Weaviate, Qdrant, Milvus etc.) using just a config file. We'd love to get your feedback!
2024 · github.com
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Data pipelines as code — self-hosted, zero black boxes
12d ago · etlfunnel.com
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Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…
2025 · github.com
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2023 · layernext.ai
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Hey HN! We’re Michael and Joseph from Mycelial (https://www.mycelial.com/). Mycelial is a point-to-point ETL solution, which means you can connect any db, file directory, or Excel workbook to a Mycelial daemon and move that data anywhere you’d like without having to transit through the Cloud. Historically, ETL processes have been bottlenecked by the need to route data through central Cloud services (Segment, Fivetran, Airbyte), introducing latency, security concerns, and unnecessary compute costs. Mycelial is our answer to these challenges, a SaaS control plane (you can run…
2024
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