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DBMS > Amazon CloudSearch vs. EsgynDB vs. Google Cloud Datastore vs. TinkerGraph vs. YottaDB

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. Google Cloud Datastore vs. TinkerGraph vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA fast and solid embedded Key-value store
Primary database modelSearch engineRelational DBMSDocument storeGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.08
Rank#345  Overall
#34  Graph DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cncloud.google.com/­datastoretinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyottadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcloud.google.com/­datastore/­docsyottadb.com/­resources/­documentation
DeveloperAmazonEsgynGoogleYottaDB, LLC
Initial release20122015200820092001
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC
Server operating systemshostedLinuxhostedDocker
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyesno
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.nononono
Secondary indexesyes infoall search fields are automatically indexedyesyesnono
SQL infoSupport of SQLnoyesSQL-like query language (GQL)noby using the Octo plugin
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
TinkerPop 3PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App Engineno
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersMulti-source replication using Paxosnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.none
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and groups based on OS-security mechanisms

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More resources
Amazon CloudSearchEsgynDBGoogle Cloud DatastoreTinkerGraphYottaDB
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