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DBMS > DuckDB vs. Microsoft Azure AI Search vs. NSDb vs. Teradata Aster vs. XTDB

System Properties Comparison DuckDB vs. Microsoft Azure AI Search vs. NSDb vs. Teradata Aster vs. XTDB

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSSearch engineTime Series DBMSRelational DBMSDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteduckdb.orgazure.microsoft.com/­en-us/­services/­searchnsdb.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationduckdb.org/­docslearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturewww.xtdb.com/­docs
DeveloperMicrosoftTeradataJuxt Ltd.
Initial release20182015201720052019
Current release0.10, February 2024V11.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaClojure
Server operating systemsserver-lesshostedLinux
macOS
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes, 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.nononoyes infoin Aster File Storeno
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyeslimited SQL, making use of Apache Calcite
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
Java
JavaScript
Python
Java
Scala
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnononoR packagesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes, 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.yesnono
User concepts infoAccess controlnoyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
DuckDBMicrosoft Azure AI SearchNSDbTeradata AsterXTDB infoformerly named Crux
Recent citations in the news

DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

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Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata Aster gets graph database, HDFS-compatible file store
8 October 2013, ZDNet

Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business
22 September 2011, PR Newswire

Teradata's Aster shows how the flowers of fraud bloom
23 April 2015, The Register

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12 September 2016, RCR Wireless News

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