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Cassandra vs FoundationDB: What are the differences?
What is Cassandra? A partitioned row store. Rows are organized into tables with a required primary key. 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.
What is FoundationDB? Multi-model database with particularly strong fault tolerance, performance, and operational ease. 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.
Cassandra and FoundationDB belong to "Databases" category of the tech stack.
"Distributed" is the top reason why over 96 developers like Cassandra, while over 2 developers mention "ACID transactions" as the leading cause for choosing FoundationDB.
Cassandra is an open source tool with 5.23K GitHub stars and 2.33K GitHub forks. Here's a link to Cassandra's open source repository on GitHub.
What is Cassandra?
What is FoundationDB?
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Why do developers choose Cassandra?
- Reliable25
Why do developers choose FoundationDB?
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What are the cons of using Cassandra?
What are the cons of using FoundationDB?
What companies use FoundationDB?
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What tools integrate with Cassandra?
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CassandraStitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:
Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.
Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.
CassandraCassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.
CassandraWhile we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.
CassandraWe are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc
Cassandra