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Based on our record, Apache Calcite seems to be a lot more popular than OrientDB. While we know about 12 links to Apache Calcite, we've tracked only 1 mention of OrientDB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / 11 months ago
Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: about 1 year ago
One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / almost 2 years ago
Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / almost 2 years ago
You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / almost 2 years ago
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / over 1 year ago
Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Superintendent.app - Superintendent.app is a Desktop app that enables you to write SQL on CSV files.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.