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HarperDB
HarperDB

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PipelineDB
PipelineDB

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HarperDB vs PipelineDB: What are the differences?

What is HarperDB? HarperDB's data platform connects & distributes data, regardless of source to enable real-time insights & decisioning. HarperDB helps companies create operational data pipelines from edge to cloud & all points in between for data orchestration, solving problems such as remote asset management, data integration of OT and IT systems, & many other use cases

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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.

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

Some of the features offered by HarperDB are:

  • Edge to Cloud Availability
  • Hybrid Cloud Capabilities
  • Database as a Microservice

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

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL
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What is HarperDB?

HarperDB helps companies create operational data pipelines from edge to cloud & all points in between for data orchestration, solving problems such as remote asset management, data integration of OT and IT systems, & many other use cases

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 are some alternatives to HarperDB and PipelineDB?
          SQLite
          SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
          Hadoop
          The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
          MySQL
          The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
          PostgreSQL
          PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
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