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DBMS > Microsoft Azure AI Search vs. Qdrant vs. TypeDB vs. XTDB

System Properties Comparison Microsoft Azure AI Search vs. Qdrant vs. TypeDB vs. XTDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonQdrant  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA high-performance vector database with neural network or semantic-based matchingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSearch engineVector DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Document store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteazure.microsoft.com/­en-us/­services/­searchgithub.com/­qdrant/­qdrant
qdrant.tech
typedb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchqdrant.tech/­documentationtypedb.com/­docswww.xtdb.com/­docs
DeveloperMicrosoftQdrantVaticleJuxt Ltd.
Initial release2015202120162019
Current releaseV12.26.3, January 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT License
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.
Implementation languageRustJavaClojure
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesyes, extensible-data-notation format
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLnononolimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
HTTP REST
JDBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceCollection-level replicationMulti-source replication infoby using Cassandrayes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infousing Azure authenticationKey-based authenticationyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Microsoft Azure AI SearchQdrantTypeDB infoformerly named GraknXTDB infoformerly named Crux
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Microsoft Azure AI SearchQdrantTypeDB infoformerly named GraknXTDB infoformerly named Crux
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