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PipelineDB vs Pome: What are the differences?
PipelineDB: The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables; Pome: Postgres monitoring dashboard. Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.
PipelineDB and Pome belong to "Database Tools" category of the tech stack.
Pome is an open source tool with 1.07K GitHub stars and 41 GitHub forks. Here's a link to Pome's open source repository on GitHub.
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What is PipelineDB?
PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
What is Pome?
Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.
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What companies use PipelineDB?
What companies use Pome?
What companies use PipelineDB?
What companies use Pome?
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What tools integrate with PipelineDB?
What tools integrate with Pome?
What tools integrate with PipelineDB?
What tools integrate with Pome?
What are some alternatives to PipelineDB and Pome?
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.