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Datastax Enterprise vs Memcached: What are the differences?
Datastax Enterprise: A Cloud Database Built on Apache Cassandra™. It delivers a wide range of cloud data management, deployment and development capabilities. For mixed models and complex workloads you can choose the Advanced Workloads option with it to utilize DSE Graph, DSE Search, DSE Analytics, and more; Memcached: High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Datastax Enterprise and Memcached belong to "Databases" category of the tech stack.
Memcached is an open source tool with 9.11K GitHub stars and 2.61K GitHub forks. Here's a link to Memcached's open source repository on GitHub.
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Learn MorePros of DataStax Enterprise
Pros of Memcached
Pros of DataStax Enterprise
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Pros of Memcached
- Fast object cache139
- High-performance129
- Stable91
- Mature65
- Distributed caching system33
- Improved response time and throughput11
- Great for caching HTML3
- Putta2
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Cons of DataStax Enterprise
Cons of Memcached
Cons of DataStax Enterprise
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Cons of Memcached
- Only caches simple types2
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What is DataStax Enterprise?
Scale-out NoSQL for any workload
Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.
What is Memcached?
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
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Jobs that mention DataStax Enterprise and Memcached as a desired skillset
What companies use DataStax Enterprise?
What companies use Memcached?
What companies use DataStax Enterprise?
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What tools integrate with DataStax Enterprise?
What tools integrate with Memcached?
What tools integrate with DataStax Enterprise?
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What are some alternatives to DataStax Enterprise and Memcached?
Cassandra
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.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.