Redis
MongoDB
ArangoDB
Apache Cassandra
PostgreSQL
neo4j
memcached
CouchBase
Apache Calcite
Apache Drill
Presto DB
PostgreSQL
DSQ
Superintendent.app
Cloudtrek
GraphQL Voyager
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Apache CalciteBased on our record, Redis seems to be a lot more popular than Apache Calcite. While we know about 183 links to Redis, we've tracked only 12 mentions of Apache Calcite. 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.
The page 404s for me currently and it does not seem to be archived by the wayback machine either: https://web.archive.org/web/20240000000000*/https://redis.io/news/121. - Source: Hacker News / 23 days ago
Redis - real time data storage with different data structures in a cache. - Source: dev.to / 24 days ago
Redis.io no longer mentions open source. They have still not changed meta description on their page. It still says it is open source ^^ view-source:https://redis.io/. - Source: Hacker News / about 1 month ago
Follow the steps below to install Redis:. - Source: dev.to / about 2 months ago
Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage. - Source: dev.to / 2 months ago
> 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 / 9 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 / over 1 year 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
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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)
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
