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DBMS > AlaSQL vs. Axibase vs. Datastax Enterprise vs. Microsoft Azure Data Explorer vs. Rockset

System Properties Comparison AlaSQL vs. Axibase vs. Datastax Enterprise vs. Microsoft Azure Data Explorer vs. Rockset

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAxibase  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Fully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Time Series DBMSWide column storeRelational DBMS infocolumn orientedDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
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
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitealasql.orgaxibase.com/­docs/­atsd/­financewww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­data-explorerrockset.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.datastax.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.com
DeveloperAndrey Gershun & Mathias R. WulffAxibase CorporationDataStaxMicrosoftRockset
Initial release20142013201120192019
Current release155856.8, April 2020cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaScriptJavaJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
hostedhosted
Data schemeschema-freeyesschema-freeFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or datenoyes infoshort, integer, long, float, double, decimal, stringyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesdynamic typing
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.nononoyesno infoingestion from XML files supported
Secondary indexesnonoyesall fields are automatically indexedall fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageSQL-like DML and DDL statements (CQL); Spark SQLKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINs
APIs and other access methodsJavaScript APIJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Supported programming languagesJavaScriptGo
Java
PHP
Python
R
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoYes, possible languages: KQL, Python, Rno
Triggersyesyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"Sharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
AlaSQLAxibaseDatastax EnterpriseMicrosoft Azure Data ExplorerRockset
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
AlaSQLAxibaseDatastax EnterpriseMicrosoft Azure Data ExplorerRockset
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