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DBMS > Datomic vs. Immudb vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Datomic vs. Immudb vs. Microsoft Azure AI Search vs. Sphinx

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeSearch engineSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score5.75
Rank#58  Overall
#7  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.datomic.comgithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationdocs.datomic.comdocs.immudb.iolearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperCognitectCodenotaryMicrosoftSphinx Technologies Inc.
Initial release2012202020152001
Current release1.0.7180, July 20241.2.3, April 2022V13.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence available
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, ClojureGoC++
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like syntaxnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIgRPC protocol
PostgreSQL wire protocol
RESTful HTTP APIProprietary protocol
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 infoThe original contents of fields are not stored in the Sphinx index.
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 developmentnono
User concepts infoAccess controlnoyes infousing Azure authenticationno

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DatomicImmudbMicrosoft Azure AI SearchSphinx
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