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DBMS > Datomic vs. Microsoft Azure Table Storage vs. WakandaDB

System Properties Comparison Datomic vs. Microsoft Azure Table Storage vs. WakandaDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Wide Column Store for rapid development using massive semi-structured datasetsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSWide column storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitewww.datomic.comazure.microsoft.com/­en-us/­services/­storage/­tableswakanda.github.io
Technical documentationdocs.datomic.comwakanda.github.io/­doc
DeveloperCognitectMicrosoftWakanda SAS
Initial release201220122012
Current release1.0.7075, December 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaScript
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesClojure
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes
TriggersBy using transaction functionsnoyes
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 service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
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 developmentnono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesyes

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More resources
DatomicMicrosoft Azure Table StorageWakandaDB
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