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DBMS > Amazon DocumentDB vs. CockroachDB vs. FatDB vs. Hazelcast

System Properties Comparison Amazon DocumentDB vs. CockroachDB vs. FatDB vs. Hazelcast

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonHazelcast  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data grid
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­documentdbwww.cockroachlabs.comhazelcast.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.cockroachlabs.com/­docshazelcast.org/­imdg/­docs
DeveloperCockroach LabsFatCloudHazelcast
Initial release2019201520122008
Current release23.1.1, May 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#Java
Server operating systemshostedLinux
macOS
Windows
WindowsAll OS with a Java VM
Data schemeschema-freedynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServerSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonoyes infovia applicationsyes infoEvent Listeners, Executor Services
Triggersnonoyes infovia applicationsyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using RAFTselectable replication factoryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesRole-based access controlno infoCan implement custom security layer via applicationsRole-based access control

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More resources
Amazon DocumentDBCockroachDBFatDBHazelcast
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