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PipelineDB
PipelineDB

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Umbra
Umbra

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Umbra vs PipelineDB: What are the differences?

What is Umbra? An ACID-compliant database built for in-memory analytics speed. It is a fully ACID-compliant database built for in-memory analytics speed. For out-of-core processing it falls back gracefully to flash-based storage. Featuring fast code generation, low-latency query execution, and drop-in PostgreSQL compatibility.

What is PipelineDB? The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

Umbra and PipelineDB belong to "Databases" category of the tech stack.

Some of the features offered by Umbra are:

  • Low-Overhead Buffer Manager
  • Low-Latency Query Compilation
  • Compact Intermediate Representation

On the other hand, PipelineDB provides the following key features:

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL
- No public GitHub repository available -
- No public GitHub repository available -

What is PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

What is Umbra?

It is a fully ACID-compliant database built for in-memory analytics speed. For out-of-core processing it falls back gracefully to flash-based storage. Featuring fast code generation, low-latency query execution, and drop-in PostgreSQL compatibility.
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            What tools integrate with PipelineDB?
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            What are some alternatives to PipelineDB and Umbra?
            TimescaleDB
            TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
            Apache Spark
            Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
            RethinkDB
            RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
            InfluxDB
            InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
            Kafka
            Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
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