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DBMS > Amazon Redshift vs. Axibase vs. EXASOL vs. Informix vs. Microsoft Azure Data Explorer

System Properties Comparison Amazon Redshift vs. Axibase vs. EXASOL vs. Informix vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAxibase  Xexclude from comparisonEXASOL  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataFully managed big data interactive analytics platform
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document 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
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Websiteaws.amazon.com/­redshiftaxibase.com/­docs/­atsd/­financewww.exasol.comwww.ibm.com/­products/­informixazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.aws.amazon.com/­redshiftwww.exasol.com/­resourcesinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAmazon (based on PostgreSQL)Axibase CorporationExasolIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Microsoft
Initial release20122013200019842019
Current release1558514.10.FC5, November 2020cloud service with continuous releases
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, C++ and Java
Server operating systemshostedLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyesyesyesyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes 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.nononoyes
Secondary indexesrestrictednoyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageyesyesKusto Query Language (KQL), SQL subset
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
PHP
Python
R
Ruby
Java
Lua
Python
R
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesuser defined functionsyesYes, possible languages: KQL, Python, R
Triggersnoyesyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoHadoop integrationnoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsAzure Active Directory Authentication

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More resources
Amazon RedshiftAxibaseEXASOLInformixMicrosoft Azure Data Explorer
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