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DBMS > Datomic vs. Microsoft Azure Search vs. RocksDB

System Properties Comparison Datomic vs. Microsoft Azure Search vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySearch-as-a-service for web and mobile app developmentEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score6.53
Rank#59  Overall
#7  Search engines
Score3.44
Rank#88  Overall
#14  Key-value stores
Websitewww.datomic.comazure.microsoft.com/­en-us/­services/­searchrocksdb.org
Technical documentationdocs.datomic.comdocs.microsoft.com/­en-us/­azure/­searchgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectMicrosoftFacebook, Inc.
Initial release201220152013
Current release0.9.5951, July 2019V16.22.1, July 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemsAll OS with a Java VMhosted
Data schemeyesyesschema-free
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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIC++ API
Java API
Supported programming languagesClojure
Java
.Net
C#
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud servicenone
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentnoyes
User concepts infoAccess controlnoyes infousing Azure authenticationno

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More resources
DatomicMicrosoft Azure SearchRocksDB
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