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DBMS > Amazon CloudSearch vs. Microsoft Azure Cosmos DB vs. RocksDB

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure Cosmos DB vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGlobally distributed, horizontally scalable, multi-model database serviceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.36
Rank#97  Overall
#17  Key-value stores
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­services/­cosmos-dbrocksdb.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.microsoft.com/­en-us/­azure/­cosmos-dbgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonMicrosoftFacebook, Inc.
Initial release201220142013
Current release6.2.2, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesno
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.no
Secondary indexesyes infoall search fields are automatically indexedyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsHTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
C++ API
Java API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights can be defined down to the item levelno

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More resources
Amazon CloudSearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksDB
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Recent citations in the news

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
15 October 2019, Market Report Gazette

Enterprise Search Software Market Projected to Witness Vigorous Expansion by 2019-2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
17 September 2019, Market Expert

Enterprise Search Software Market 2019 Valuable Growth Prospects and Upcoming Trends till 2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
1 October 2019, Market Expert

Global Enterprise Semantic Search Software Market Analysis, By Product, By Method And Segment Forecasts 2019-2024
25 September 2019, News Coed

Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

provided by Google News

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

How to use Jupyter Notebook and Apache Spark in Azure Cosmos DB - Microsoft
20 September 2019, Channel 9

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

NoSQL Databases Software Market Highlights by Major Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

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Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

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