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DBMS > atoti vs. FeatureBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MySQL

System Properties Comparison atoti vs. FeatureBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MySQL

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFeatureBase  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A widely adopted in-memory data gridFully managed big data interactive analytics platformWidely used open source RDBMS
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMS infocolumn orientedRelational DBMS infoKey/Value like access via memcached API
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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websiteatoti.iowww.featurebase.comhazelcast.comazure.microsoft.com/­services/­data-explorerwww.mysql.com
Technical documentationdocs.atoti.iodocs.featurebase.comhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperActiveViamMolecula and Pilosa Open Source ContributorsHazelcastMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release2017200820191995
Current release2022, May 20225.3.6, November 2023cloud service with continuous releases8.4.0, April 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaGoJavaC and C++
Server operating systemsLinux
macOS
All OS with a Java VMhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)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
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.noyes infothe object must implement a serialization strategyyesyes
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL queriesSQL-like query languageKusto Query Language (KQL), SQL subsetyes infowith proprietary extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonyes infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Ryes infoproprietary syntax
Triggersnoyes infoEventsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlRole-based access controlAzure Active Directory AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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Related products and services
3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
atotiFeatureBaseHazelcastMicrosoft Azure Data ExplorerMySQL
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