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DBMS > BigObject vs. Microsoft Azure AI Search vs. OpenQM vs. ScyllaDB

System Properties Comparison BigObject vs. Microsoft Azure AI Search vs. OpenQM vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesSearch-as-a-service for web and mobile app developmentQpenQM is a high-performance, self-tuning, multi-value DBMSCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineMultivalue DBMSWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitebigobject.ioazure.microsoft.com/­en-us/­services/­searchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.scylladb.com
Technical documentationdocs.bigobject.iolearn.microsoft.com/­en-us/­azure/­searchdocs.scylladb.com
DeveloperBigObject, Inc.MicrosoftRocket Software, originally Martin PhillipsScyllaDB
Initial release2015201519932015
Current releaseV13.4-12ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeyesyesyes infowith some exceptionsschema-free
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.nonoyesno
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Java
JavaScript
Python
.Net
Basic
C
Java
Objective C
PHP
Python
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 proceduresLuanoyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnoyes infoin-memory tables
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights can be defined down to the item levelAccess rights for users can be defined per object
More information provided by the system vendor
BigObjectMicrosoft Azure AI SearchOpenQM infoalso called QMScyllaDB
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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More resources
BigObjectMicrosoft Azure AI SearchOpenQM infoalso called QMScyllaDB
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