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FaunaDB
FaunaDB

4
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PipelineDB
PipelineDB

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

FaunaDB: The database built for serverless, featuring native GraphQL. FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness and scale. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users; PipelineDB: The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

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

Some of the features offered by FaunaDB are:

  • Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.
  • Access all data via a data model that best suits your needs - relational, document, graph or composite.
  • A unique approach to indexing makes it simpler to write efficient queries that scale with your application.

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 FaunaDB?

FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness and scale. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.

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 FaunaDB and PipelineDB?
              Firebase
              Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
              CockroachDB
              It allows you to deploy a database on-prem, in the cloud or even across clouds, all as a single store. It is a simple and straightforward bridge to your future, cloud-based data architecture.
              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.
              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.
              FoundationDB
              FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
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