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DBMS > Amazon CloudSearch vs. Datomic vs. EXASOL vs. Snowflake vs. WakandaDB

System Properties Comparison Amazon CloudSearch vs. Datomic vs. EXASOL vs. Snowflake vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.comwww.exasol.comwww.snowflake.comwakanda.github.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.comwww.exasol.com/­resourcesdocs.snowflake.net/­manuals/­index.htmlwakanda.github.io/­doc
DeveloperAmazonCognitectExasolSnowflake Computing Inc.Wakanda SAS
Initial release20122012200020142012
Current release1.0.7075, December 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++, JavaScript
Server operating systemshostedAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsHTTP APIRESTful HTTP API.Net
JDBC
ODBC
WebSocket
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
Java
Lua
Python
R
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsuser defined functionsyes
TriggersnoBy using transaction functionsyesno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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 developmentyesnono
User concepts infoAccess controlauthentication via encrypted signaturesnoAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Amazon CloudSearchDatomicEXASOLSnowflakeWakandaDB
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