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Dev tools · alternatives · 2026

24 alternatives to LaminarDB – Streaming SQL database in Rust, zero-alloc hot path

Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency - laminardb/laminardb

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…

    2024 · github.com · its alternatives →

  2. 2
    QoreDB▲95

    The fast, open-source database client built with Rust

    Mar 2026 · qoredb.com · its alternatives →

  3. 3

    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 →

  4. 4

    Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent…

    2024 · github.com · its alternatives →

  5. 5PS

    Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…

    2024 · its alternatives →

  6. 6

    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 →

  7. 7

    tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…

    2024 · github.com · its alternatives →

  8. 8

    A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in - kividbio/kividb

    2d ago · github.com · its alternatives →

  9. 9

    Two years after open sourcing Proton, we're releasing v3.0 which brings enterprise-grade streaming capabilities to the open source version: full connectivity, processing, and routing in a single binary with zero dependencies. Key features: First vectorized streaming SQL engine in modern C++ with JIT compilation High-throughput, low-latency, high-cardinality processing End-to-end streaming: ETL, joins, aggregation, alerts, and tasks Native connectors: Kafka, Redpanda, Pulsar, ClickHouse, Splunk, Elastic, MongoDB, S3, Iceberg Native Python UDF/UDAF support to support your AI/ML work…

    Oct 2025 · github.com · its alternatives →

  10. 10

    We recently open-sourced Kaskada – an event-processing engine built on Rust and Apache Arrow. It features a high-level, declarative query language designed specifically for reasoning about events in bulk and in real time. Unlike SQL, an aggregation over events produces a timeline indicating the value at each point in time over the events that have occurred up to that point in time. The query language provides composable, expression oriented syntax, including the ability to nest aggregations. Due to the focus on events and temporal queries, it provides capabilities to shift events forward…

    2023 · github.com · its alternatives →

  11. 11

    Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS - matanolabs/matano

    2022 · github.com · its alternatives →

  12. 12

    Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…

    Dec 2025 · sql-flow.com · its alternatives →

  13. 13
    chdb▲88

    Embedded SQL OLAP engine powered by ClickHouse

    2023 · clickhouse.com · its alternatives →

  14. 14

    Offline-first SQL sync with Typescript and Rust cores - syncular/syncular

    Aug 2026 · github.com · its alternatives →

  15. 15

    Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  16. 16
    HelixDB▲105

    An open-source OLTP graph-vector database built in Rust.

    Feb 2026 · helix-db.com · its alternatives →

  17. 17

    Stream Postgres to Apache Iceberg on S3 via logical replication, queryable over the Postgres wire protocol. - GitHub - viggy28/streambed: Stream Postgres to Apache Iceberg on S3 via logical replication, queryable over the Postgres wire protocol.

    May 2026 · github.com · its alternatives →

  18. 18

    Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.

    2024 · sql-workbench.com · its alternatives →

  19. 19
  20. 20
    laminar▲81

    All-in-one platform for production-grade AI applications.

    2024 · laminar.sh · its alternatives →

  21. 21

    An example GraphQL server written in Rust. Contribute to lucperkins/rust-graphql-juniper-actix-diesel-postgres development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  22. 22AF

    Serialization framework with some interesting numbers: 10-20x faster on nested objects than json/protobuf. Technical approach: compile-time codegen (no reflection), compact binary protocol with meta-packing, little-endian layout optimized for modern CPUs. Unique features that other fast serializers don't have: - Cross-language without IDL files (Rust ↔ Python/Java/Go) - Trait object serialization (Box) - Automatic circular reference handling - Schema evolution without coordination Happy to discuss design trade-offs. Benchmarks:…

    Oct 2025 · fory.apache.org · its alternatives →

  23. 23

    Hey HN, I built StreamHouse, an open-source streaming platform that replaces Kafka's broker-managed storage with direct S3 writes. The goal: same semantics, fraction of the cost. How it works: Producers batch and compress records, a stateless server manages partition routing and metadata (SQLite for dev, PostgreSQL for prod), and segments land directly in S3. Consumers read from S3 with a local segment cache. No broker disks to manage, no replication factor to tune — S3 gives you 11 nines of durability out of the box. What's there today: - Producer API with batching, LZ4 compression, and…

    Feb 2026 · github.com · its alternatives →

  24. 24

    Contribute to orch8-io/engine development by creating an account on GitHub.

    May 2026 · github.com · its alternatives →

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