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DBMS > Google Cloud Datastore vs. HugeGraph vs. Memcached vs. TerminusDB

System Properties Comparison Google Cloud Datastore vs. HugeGraph vs. Memcached vs. TerminusDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for cachingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeGraph DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecloud.google.com/­datastoregithub.com/­hugegraph
hugegraph.apache.org
www.memcached.orgterminusdb.com
Technical documentationcloud.google.com/­datastore/­docshugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wikiterminusdb.github.io/­terminusdb/­#
DeveloperGoogleBaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalDataChemist Ltd.
Initial release2008201820032018
Current release0.91.6.25, March 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCProlog, Rust
Server operating systemshostedLinux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyes
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like query language (GQL)nonoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresusing Google App Engineasynchronous Gremlin script jobsnoyes
TriggersCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallityJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocolRole-based access control

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More resources
Google Cloud DatastoreHugeGraphMemcachedTerminusDB infoformer name was DataChemist
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