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DBMS > Microsoft Azure AI Search vs. OpenMLDB vs. ScyllaDB vs. SiteWhere

System Properties Comparison Microsoft Azure AI Search vs. OpenMLDB vs. ScyllaDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentAn open-source machine learning database that provides a feature platform for training and inferenceCassandra and DynamoDB compatible wide column storeM2M integration platform for persisting/querying time series data
Primary database modelSearch engineTime Series DBMSWide column storeTime Series DBMS
Secondary database modelsVector DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchopenmldb.aiwww.scylladb.comgithub.com/­sitewhere/­sitewhere
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­maindocs.scylladb.comsitewhere1.sitewhere.io/­index.html
DeveloperMicrosoft4 Paradigm Inc.ScyllaDBSiteWhere
Initial release2015202020152010
Current releaseV12024-2 February 2024ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, Java, ScalaC++Java
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Data schemeyesFixed schemaschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyes infocluster global secondary indicesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL)no
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP REST
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tablesno
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardAccess rights for users can be defined per objectUsers with fine-grained authorization concept
More information provided by the system vendor
Microsoft Azure AI SearchOpenMLDBScyllaDBSiteWhere
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure AI SearchOpenMLDBScyllaDBSiteWhere
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