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KairosDB
KairosDB

11
20
+ 1
5
PipelineDB
PipelineDB

6
13
+ 1
0
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KairosDB vs PipelineDB: What are the differences?

Developers describe KairosDB as "Fast Time Series Database on Cassandra". KairosDB is a fast distributed scalable time series database written on top of Cassandra. 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.

KairosDB and PipelineDB can be categorized as "Databases" tools.

KairosDB is an open source tool with 1.52K GitHub stars and 315 GitHub forks. Here's a link to KairosDB's open source repository on GitHub.

- No public GitHub repository available -

What is KairosDB?

KairosDB is a fast distributed scalable time series database written on top of Cassandra.

What is PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
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        What tools integrate with KairosDB?
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          What are some alternatives to KairosDB and PipelineDB?
          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.
          Graphite
          Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
          Cassandra
          Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
          OpenTSDB
          It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.
          Prometheus
          Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
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