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DBMS > Datomic vs. Manticore Search vs. SiteWhere vs. WakandaDB vs. YottaDB

System Properties Comparison Datomic vs. Manticore Search vs. SiteWhere vs. WakandaDB vs. YottaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonManticore Search  Xexclude from comparisonSiteWhere  Xexclude from comparisonWakandaDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMulti-storage database for search, including full-text search.M2M integration platform for persisting/querying time series dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA fast and solid embedded Key-value store
Primary database modelRelational DBMSSearch engineTime Series DBMSObject oriented DBMSKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.datomic.commanticoresearch.comgithub.com/­sitewhere/­sitewherewakanda.github.ioyottadb.com
Technical documentationdocs.datomic.commanual.manticoresearch.comsitewhere1.sitewhere.io/­index.htmlwakanda.github.io/­docyottadb.com/­resources/­documentation
DeveloperCognitectManticore SoftwareSiteWhereWakanda SASYottaDB, LLC
Initial release20122017201020122001
Current release1.0.7180, July 20246.0, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version 2Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPLv3, extended commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++JavaC++, JavaScriptC
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeyesFixed schemapredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesno
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.noCan index from XMLnonono
Secondary indexesyesyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLnoSQL-like query languagenonoby using the Octo plugin
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP RESTRESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication based on Galera libraryselectable replication factor infobased on HBasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDoptimistic locking
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)yes infoThe original contents of fields are not stored in the Manticore index.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 developmentnonoyes
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptyesUsers and groups based on OS-security mechanisms

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More resources
DatomicManticore SearchSiteWhereWakandaDBYottaDB
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