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DBMS > Datomic vs. Hazelcast vs. Microsoft Azure AI Search vs. NuoDB vs. TimescaleDB

System Properties Comparison Datomic vs. Hazelcast vs. Microsoft Azure AI Search vs. NuoDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNuoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data gridSearch-as-a-service for web and mobile app developmentNuoDB is a webscale distributed database that supports SQL and ACID transactionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.datomic.comhazelcast.comazure.microsoft.com/­en-us/­services/­searchwww.3ds.com/­nuodb-distributed-sql-databasewww.timescale.com
Technical documentationdocs.datomic.comhazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­searchdoc.nuodb.comdocs.timescale.com
DeveloperCognitectHazelcastMicrosoftDassault Systèmes infooriginally NuoDB, Inc.Timescale
Initial release20122008201520132017
Current release1.0.6735, June 20235.3.6, November 2023V12.15.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC++C
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes infothe object must implement a serialization strategynonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoEvent Listeners, Executor ServicesnoJava, SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersBy using transaction functionsyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud servicedata is dynamically stored/cached on the nodes where it is read/writtenyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoReplicated Mapyes infoImplicit feature of the cloud serviceyes infoManaged transparently by NuoDBSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes infoTemporary tableno
User concepts infoAccess controlnoRole-based access controlyes infousing Azure authenticationStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard

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DatomicHazelcastMicrosoft Azure AI SearchNuoDBTimescaleDB
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