What is PipelineDB?
PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
PipelineDB is a tool in the Databases category of a tech stack.
Who uses PipelineDB?
4 developers on StackShare have stated that they use PipelineDB.
Why developers like PipelineDB?
Here’s a list of reasons why companies and developers use PipelineDB
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- No Application Code
- Runs on PostgreSQL
- Eliminate ETL
- Efficient and Sustainable
PipelineDB Alternatives & Comparisons
What are some alternatives to PipelineDB?
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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.
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 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 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 is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.