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PipelineDB
PipelineDB

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YugabyteDB
YugabyteDB

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10
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YugabyteDB vs PipelineDB: What are the differences?

Developers describe YugabyteDB as "High-performance, , cloud-native distributed SQL database". It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions. On the other hand, PipelineDB is detailed as "The Streaming SQL Database". PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

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

Some of the features offered by YugabyteDB are:

  • Global Resilience
  • Low Read Latency
  • Massive Write Scalability

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

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL

YugabyteDB is an open source tool with 3.54K GitHub stars and 307 GitHub forks. Here's a link to YugabyteDB'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 YugabyteDB?

It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions.
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            What are some alternatives to PipelineDB and YugabyteDB?
            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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