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DBMS > Datastax Enterprise vs. Microsoft Azure AI Search vs. Trino

System Properties Comparison Datastax Enterprise vs. Microsoft Azure AI Search vs. Trino

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDataStax 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.Search-as-a-service for web and mobile app developmentFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelWide column storeSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Vector DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­en-us/­services/­searchtrino.io
Technical documentationdocs.datastax.comlearn.microsoft.com/­en-us/­azure/­searchtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDataStaxMicrosoftTrino Software Foundation
Initial release201120152012 info2020 rebranded from PrestoSQL
Current release6.8, April 2020V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
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.Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaJava
Server operating systemsLinux
OS X
hostedLinux
macOS infofor devlopment
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoImplicit feature of the cloud servicedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectyes infousing Azure authenticationSQL standard access control
More information provided by the system vendor
Datastax EnterpriseMicrosoft Azure AI SearchTrino
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsAnnual subscription
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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