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DBMS > Datomic vs. Google Cloud Datastore vs. Memcached vs. RethinkDB vs. TigerGraph

System Properties Comparison Datomic vs. Google Cloud Datastore vs. Memcached vs. RethinkDB vs. TigerGraph

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonRethinkDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingDBMS for the Web with a mechanism to push updated query results to applications in realtime.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument storeKey-value storeDocument storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.66
Rank#107  Overall
#20  Document stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.datomic.comcloud.google.com/­datastorewww.memcached.orgrethinkdb.comwww.tigergraph.com
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikirethinkdb.com/­docsdocs.tigergraph.com
DeveloperCognitectGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalThe Linux Foundation infosince July 2017
Initial release20122008200320092017
Current release1.0.7075, December 20231.6.27, May 20242.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSD licenseOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC++C++
Server operating systemsAll OS with a Java VMhostedFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details herenoyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query language (GQL)nonoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsusing Google App Enginenoyes
TriggersBy using transaction functionsCallbacks using the Google Apps EnginenoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesyes
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 integritynoyes infovia ReferenceProperties or Ancestor pathsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolyes infousers and table-level permissionsRole-based access control

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More resources
DatomicGoogle Cloud DatastoreMemcachedRethinkDBTigerGraph
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