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DBMS > EsgynDB vs. Google Cloud Datastore vs. Memcached vs. Microsoft Azure SQL Database vs. UniData,UniVerse

System Properties Comparison EsgynDB vs. Google Cloud Datastore vs. Memcached vs. Microsoft Azure SQL Database vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingDatabase as a Service offering with high compatibility to Microsoft SQL ServerMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.esgyn.cncloud.google.com/­datastorewww.memcached.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­azure-sqldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperEsgynGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftRocket Software
Initial release20152008200320101985
Current release1.6.25, March 2024V12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaCC++C
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, details herenoyesoptional
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.nonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresJava Stored Proceduresusing Google App EnginenoTransact SQLyes
TriggersnoCallbacks using the Google Apps Enginenoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallityyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
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.Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
EsgynDBGoogle Cloud DatastoreMemcachedMicrosoft Azure SQL Database infoformerly SQL AzureUniData,UniVerse
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