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PipelineDB
PipelineDB

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PumpkinDB
PumpkinDB

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PumpkinDB vs PipelineDB: What are the differences?

What is PumpkinDB? *An event sourcing database engine *. PumpkinDB is a compact event sourcing database engine, featuring fast on-disk storage, flexible approach to event structure and encoding, sophisticated event indexing and querying.

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.

PumpkinDB and PipelineDB can be primarily classified as "Databases" tools.

Some of the features offered by PumpkinDB are:

  • Fast file-based storage
  • Library of building primitives: encoding, indexing, subscriptions, etc.
  • Query language that compiles to PumpkinScript

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

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL

PumpkinDB is an open source tool with 1.15K GitHub stars and 47 GitHub forks. Here's a link to PumpkinDB's open source repository on GitHub.

- 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 PumpkinDB?

PumpkinDB is a compact event sourcing database engine, featuring fast on-disk storage, flexible approach to event structure and encoding, sophisticated event indexing and querying.
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              What are some alternatives to PipelineDB and PumpkinDB?
              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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