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DBMS > Datomic vs. Informix vs. Microsoft Azure AI Search vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Informix vs. Microsoft Azure AI Search vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataSearch-as-a-service for web and mobile app developmentRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comwww.ibm.com/­products/­informixazure.microsoft.com/­en-us/­services/­searchwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
learn.microsoft.com/­en-us/­azure/­searchhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MicrosoftSAP infoformerly Sybase
Initial release2012198420151992
Current release1.0.6735, June 202314.10.FC5, November 2020V117, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, C++ and Java
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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
User concepts infoAccess controlnoUsers with fine-grained authentication, authorization, and auditing controlsyes infousing Azure authenticationfine grained access rights according to SQL-standard

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DatomicInformixMicrosoft Azure AI SearchSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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