CouchDB
Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability (by apache)
Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing (by apache)
| CouchDB | Apache Spark | |
|---|---|---|
| 28 | 101 | |
| 6,025 | 38,378 | |
| 0.6% | 0.6% | |
| 9.5 | 10.0 | |
| about 13 hours ago | 6 days ago | |
| Erlang | Scala | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CouchDB
Posts with mentions or reviews of CouchDB.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-01.
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System Design: Databases and DBMS
CouchDB
- Why SQLite is so great for the edge
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Creating an offline node.js app, but what can I use as a database?
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.
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How to run WebAssembly from your Rust Program
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.
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Erlang: The coding language that finance forgot
I just turns out you can't always do that in a real codebase. For example see here:
https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228 -
System Design: The complete course
Example: Apache Cassandra, CouchDB.
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Help need for Third Year Computer Science Project which is a dating website.
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.
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PDF Reviewer (3) - The Architecture
The Apache CouchDB server. It stores Annotation data.
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Database of Databases
CouchDB
- [AskJS] technology stack for PWA, ServiceWorker and offline first web app?
Apache Spark
Posts with mentions or reviews of Apache Spark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-11.
- "xAI will open source Grok"
-
Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
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🦿🛴Smarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
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Five Apache projects you probably didn't know about
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark – A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.
What are some alternatives?
When comparing CouchDB and Apache Spark you can also consider the following projects:
Riak - Riak is a decentralized datastore from Basho Technologies.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
RethinkDB - The open-source database for the realtime web.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Scalding - A Scala API for Cascading
Apache Cassandra - Mirror of Apache Cassandra
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
Appwrite - Your backend, minus the hassle.
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.