Facebook 为什么不用 Cassandra 了？ - 知乎



Facebook 为什么不用 Cassandra 了？ - 知乎

Cassandra和MongoDB等这些Nosql产品，无论从可扩展性、性能等方面来说是有很大的优势，我觉得目前最大的一个问题还在于稳定性和运维能力。对于类似Cassandra这种相对比较"重型"的产品来说，越是智能化的，要想更好的驾驭它就必须花费越多的精力和需要更多的经验。

Facebook开发Cassandra初衷是用于Inbox Search，但是后来的Message System则使用了HBase，Facebook对此给出的解释是Cassandra的最终一致性模型不适合Message System，HBase具有更简单的一致性模型，当然还有其他的原因。HBase更加的成熟，成功的案例也比较多等等。Twitter和Digg都曾经很高调的选用Cassandra，但是最后也都放弃了，当然Twitter还有部分项目也还在使用Cassandra，但是主要的Tweet已经不是了。

Read full article from Facebook 为什么不用 Cassandra 了？ - 知乎


No comments:

Post a Comment

Subscribe to: Post Comments (Atom)

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts