Apache Accumulo
Apache Cassandra
| Apache Accumulo | Apache Cassandra | |
|---|---|---|
| 2 | 36 | |
| 1,046 | 8,521 | |
| -0.2% | 0.5% | |
| 9.7 | 9.9 | |
| about 9 hours ago | 2 days ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
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.
Apache Accumulo
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In One Minute : Hadoop
Accumulo, a sorted, distributed key/value store that provides robust, scalable data storage and retrieval.
- Apache Accumulo – sorted, distributed, robust, scalable key/value store
Apache Cassandra
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System Design: Databases and DBMS
Apache Cassandra
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How to Choose the Right MQTT Data Storage for Your Next Project
Apache Cassandra{:target="_blank"} is a highly scalable and fault-tolerant database that can handle large volumes of data across multiple nodes or clusters. It provides fast read and write operations, making it suitable for real-time analytics or applications with high throughput requirements.
- 10+ Open-Source Projects For Web Developers In 2023
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Database 101: Data Consistency for Beginners
Wide Column: Apache Cassandra, ScyllaDB and DynamoDB
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In One Minute : Hadoop
Cassandra, a replicated, fault-tolerant, decentralized and scalable database system.
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Build Your First App with JavaScript, Node.js, and DataStax Astra DB
A popular database you might already be familiar with is Apache Cassandra®, which powers high-performing applications for thousands of companies including Hulu, Netflix, Spotify, and Apple. While this free, open-source database is known for its high availability, scalability, and resilience; the downside is that it’s also notoriously complex to set up and manage.
- Reducing logging cost by two orders of magnitude using CLP
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Baeldung Series Part 2: Build a Dashboard With Cassandra, Astra and CQL – Mapping Event Data
In our previous article, we looked at augmenting our dashboard to store and display individual events from the Avengers using DataStax Astra, a serverless DBaaS powered by Apache Cassandra using Stargate to offer additional APIs for working with it.
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System Design: CAP theorem
Example: Apache Cassandra, CouchDB.
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Deploy a TikTok Clone with Node.js, Netlify, and DataStax Astra DB
For our TikTok database, we’re using DataStax Astra DB: a cloud-based database that fully manages Apache Cassandra®, one of the most robust and scalable NoSQL databases around.
What are some alternatives?
Presto - The official home of the Presto distributed SQL query engine for big data
Druid - Apache Druid: a high performance real-time analytics database.
beam - Apache Beam is a unified programming model for Batch and Streaming data processing.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Apache Flink - Apache Flink
Apache HBase - Apache HBase
Hazelcast Jet - Distributed Stream and Batch Processing
Event Store - EventStoreDB, the event-native database. Designed for Event Sourcing, Event-Driven, and Microservices architectures