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DBMS > ArangoDB vs. FatDB vs. Hazelcast vs. JSqlDb vs. Microsoft Azure Data Explorer

System Properties Comparison ArangoDB vs. FatDB vs. Hazelcast vs. JSqlDb vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridJavaScript Query Language Database, stores JavaScript objects and primitivesFully managed big data interactive analytics platform
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document store
Key-value store
Key-value storeDocument store
Object oriented DBMS
Relational DBMS infocolumn oriented
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitearangodb.comhazelcast.comjsqldb.org (offline)azure.microsoft.com/­services/­data-explorer
Technical documentationdocs.arangodb.comhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.FatCloudHazelcastKonrad von BackstromMicrosoft
Initial release20122012200820182019
Current release3.11.5, November 20235.3.6, November 20230.8, December 2018cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++C#Java
Server operating systemsLinux
OS X
Windows
WindowsAll OS with a Java VMLinux
macOS
Windows
hosted
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesnoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-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.yes infothe object must implement a serialization strategynoyes
Secondary indexesyesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query languagenoKusto Query Language (KQL), SQL subset
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresJavaScriptyes infovia applicationsyes infoEvent Listeners, Executor Servicesfunctions in JavaScriptYes, possible languages: KQL, Python, R
Triggersnoyes infovia applicationsyes infoEventsnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factoryes infoReplicated Mapnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesno infoCan implement custom security layer via applicationsRole-based access controlAzure Active Directory Authentication
More information provided by the system vendor
ArangoDBFatDBHazelcastJSqlDbMicrosoft Azure Data Explorer
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
ArangoDBFatDBHazelcastJSqlDbMicrosoft Azure Data Explorer
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