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DBMS > Amazon DocumentDB vs. Cassandra vs. Hazelcast vs. LevelDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DocumentDB vs. Cassandra vs. Hazelcast vs. LevelDB vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCassandra  Xexclude from comparisonHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeWide column storeKey-value storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsVector DBMS infostarting with release V5Document store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score101.89
Rank#12  Overall
#1  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbcassandra.apache.orghazelcast.comgithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-db
Technical documentationaws.amazon.com/­documentdb/­resourcescassandra.apache.org/­doc/­latesthazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHazelcastGoogleMicrosoft
Initial release20192008200820112014
Current release4.1.3, July 20235.3.6, November 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC++
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infoJSON types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languagenoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JCache
JPA
Memcached protocol
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor ServicesnoJavaScript
Triggersnoyesyes infoEventsnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"ShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoReplicated Mapnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsone or two-phase-commit; repeatable reads; read commitednoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectRole-based access controlnoAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DocumentDBCassandraHazelcastLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more

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More resources
Amazon DocumentDBCassandraHazelcastLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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