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OlegDB
OlegDB

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PipelineDB
PipelineDB

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OlegDB vs PipelineDB: What are the differences?

What is OlegDB? A database that meets the bottom line head-on. It is a concurrent, pretty fast K/V hashtable with an Go frontend. It uses the Murmur3 hashing algorithm to hash and index keys. It operates under a startling new enterprise-ready paradigm which we call MAYO: Marginally available Yolk and Oil database.

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.

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

Some of the features offered by OlegDB are:

  • Keeps track of currently inserted nodes via a splay tree
  • LZ4 Compression
  • Enterprise-ready paradigm

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

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL
- No public GitHub repository available -
- No public GitHub repository available -

What is OlegDB?

It is a concurrent, pretty fast K/V hashtable with an Go frontend. It uses the Murmur3 hashing algorithm to hash and index keys. It operates under a startling new enterprise-ready paradigm which we call MAYO: Marginally available Yolk and Oil database.

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 OlegDB?
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            What are some alternatives to OlegDB and PipelineDB?
            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.
            Microsoft SQL Server
            Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
            MariaDB
            Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
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