The data warehouse for operational workloads.
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Updated
Jun 8, 2024 - Rust
The data warehouse for operational workloads.
A curated list of awesome big data frameworks, resources and other awesomeness. With repository stars⭐ and forks🍴
Open Source Phasor Data Concentrator
Lean and mean distributed stream processing system written in rust and web assembly.
Redpanda Cloud documentation
Open source content for the Redpanda documentation
How to build a Medallion design pattern using Fabric Real-Time Intelligence
Fancy stream processing made operationally mundane
100% Python stream processing with Streaming DataFrames
TNT4J Streams allows data streaming, parsing from various data sources into TNT4J event sinks
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
jKool Event Streaming Library -- telemetry collection, simulation and streaming to jKool enabled servers, jKool Cloud.
🌊 Online machine learning in Python
Code-Native Data Pipelines
Open-Source Web UI for managing Apache Kafka clusters
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Grid Solutions Framework
Simple tools for working with data streams in LazyLists in Scala
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
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