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DBMS > Datomic vs. JaguarDB vs. Microsoft Azure Data Explorer vs. MongoDB vs. OushuDB

System Properties Comparison Datomic vs. JaguarDB vs. Microsoft Azure Data Explorer vs. MongoDB vs. OushuDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMongoDB  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityPerformant, highly scalable DBMS for AI and IoT applicationsFully managed big data interactive analytics platformOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMS infocolumn orientedDocument storeRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Spatial 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websitewww.datomic.comwww.jaguardb.comazure.microsoft.com/­services/­data-explorerwww.mongodb.comwww.oushu.com/­product/­oushuDB
Technical documentationdocs.datomic.comwww.jaguardb.com/­support.htmldocs.microsoft.com/­en-us/­azure/­data-explorerwww.mongodb.com/­docs/­manualwww.oushu.com/­documentation
DeveloperCognitectDataJaguar, Inc.MicrosoftMongoDB, IncOushu
Initial release2012201520192009
Current release1.0.7075, December 20233.3 July 2023cloud service with continuous releases6.0.7, June 20234.0.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL V3.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenonoyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
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Implementation languageJava, ClojureC++ infothe server part. Clients available in other languagesC++
Server operating systemsAll OS with a Java VMLinuxhostedLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)schema-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.yes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Atlas SQL InterfaceFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
ODBC
Supported programming languagesClojure
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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
C
C++
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoYes, possible languages: KQL, Python, RJavaScriptyes
TriggersBy using transaction functionsnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding 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.yes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlnorights management via user accountsAzure Active Directory AuthenticationAccess rights for users and rolesKerberos, SSL and role based access
More information provided by the system vendor
DatomicJaguarDBMicrosoft Azure Data ExplorerMongoDBOushuDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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DatomicJaguarDBMicrosoft Azure Data ExplorerMongoDBOushuDB
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