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DBMS > Hazelcast vs. Microsoft Azure Cosmos DB vs. MongoDB vs. ScyllaDB vs. Trafodion

System Properties Comparison Hazelcast vs. Microsoft Azure Cosmos DB vs. MongoDB vs. ScyllaDB vs. Trafodion

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted in-memory data gridGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureCassandra and DynamoDB compatible wide column storeTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document storeWide column storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score421.65
Rank#5  Overall
#1  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitehazelcast.comazure.microsoft.com/­services/­cosmos-dbwww.mongodb.comwww.scylladb.comtrafodion.apache.org
Technical documentationhazelcast.org/­imdg/­docslearn.microsoft.com/­azure/­cosmos-dbwww.mongodb.com/­docs/­manualdocs.scylladb.comtrafodion.apache.org/­documentation.html
DeveloperHazelcastMicrosoftMongoDB, IncScyllaDBApache Software Foundation, originally developed by HP
Initial release20082014200920152014
Current release5.3.6, November 20236.0.7, June 2023ScyllaDB Open Source 5.4.1, January 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)nono
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Implementation languageJavaC++C++C++, Java
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyes infoAll properties auto-indexed by defaultyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJavaScriptJavaScriptyes, LuaJava Stored Procedures
Triggersyes infoEventsJavaScriptyes infoin MongoDB Atlas onlynono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolationno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes infoin-memory tablesno
User concepts infoAccess controlRole-based access controlAccess rights can be defined down to the item levelAccess rights for users and rolesAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
HazelcastMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBScyllaDBTrafodion
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HazelcastMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBScyllaDBTrafodion
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