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DBMS > Hazelcast vs. MongoDB vs. Postgres-XL vs. RethinkDB vs. ScyllaDB

System Properties Comparison Hazelcast vs. MongoDB vs. Postgres-XL vs. RethinkDB vs. ScyllaDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRethinkDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for the Web with a mechanism to push updated query results to applications in realtime.Cassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeDocument storeRelational DBMSDocument storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial 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
Document store
Spatial DBMS
Spatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score421.65
Rank#5  Overall
#1  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitehazelcast.comwww.mongodb.comwww.postgres-xl.orgrethinkdb.comwww.scylladb.com
Technical documentationhazelcast.org/­imdg/­docswww.mongodb.com/­docs/­manualwww.postgres-xl.org/­documentationrethinkdb.com/­docsdocs.scylladb.com
DeveloperHazelcastMongoDB, IncThe Linux Foundation infosince July 2017ScyllaDB
Initial release200820092014 infosince 2012, originally named StormDB20092015
Current release5.3.6, November 20236.0.7, June 202310 R1, October 20182.4.1, August 2020ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen 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 infoMozilla public licenseOpen Source infoApache Version 2Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++CC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Linux
Data schemeschema-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.yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes infostring, binary, float, bool, date, geometryyes
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 strategyyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infodistributed, parallel query executionnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
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
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJavaScriptuser defined functionsyes, Lua
Triggersyes infoEventsyes infoin MongoDB Atlas onlyyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioningSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedMulti-document ACID Transactions with snapshot isolationACID infoMVCCAtomic single-document operationsno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyesyes
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 3.2nonoyes infoin-memory tables
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infousers and table-level permissionsAccess rights for users can be defined per object
More information provided by the system vendor
HazelcastMongoDBPostgres-XLRethinkDBScyllaDB
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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More resources
HazelcastMongoDBPostgres-XLRethinkDBScyllaDB
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