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DBMS > Apache Kylin vs. Google Cloud Datastore vs. Memcached vs. RavenDB

System Properties Comparison Apache Kylin vs. Google Cloud Datastore vs. Memcached vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument storeKey-value storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Score2.68
Rank#102  Overall
#19  Document stores
Websitekylin.apache.orgcloud.google.com/­datastorewww.memcached.orgravendb.net
Technical documentationkylin.apache.org/­docscloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikiravendb.net/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHibernating Rhinos
Initial release2015200820032010
Current release3.1.0, July 20201.6.29, June 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD licenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details herenono
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (GQL)noSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyes
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownoyes
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.Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolAuthorization levels configured per client per database

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Apache KylinGoogle Cloud DatastoreMemcachedRavenDB
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