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DBMS > Google Cloud Datastore vs. Memcached vs. Rockset vs. Transbase vs. XTDB

System Properties Comparison Google Cloud Datastore vs. Memcached vs. Rockset vs. Transbase vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparisonTransbase  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDBA resource-optimized, high-performance, universally applicable RDBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeKey-value storeDocument storeRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­datastorewww.memcached.orgrockset.comwww.transaction.de/­en/­products/­transbase.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikidocs.rockset.comwww.transaction.de/­en/­products/­transbase/­features.htmlwww.xtdb.com/­docs
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRocksetTransaction Software GmbHJuxt Ltd.
Initial release20082003201919872019
Current release1.6.25, March 2024Transbase 8.3, 20221.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercial infofree development licenseOpen Source infoMIT License
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 languageCC++C and C++Clojure
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details herenodynamic typingyesyes, extensible-data-notation format
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 infoingestion from XML files supportednono
Secondary indexesyesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noRead-only SQL queries, including JOINsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolHTTP RESTADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
JDBC
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
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresusing Google App Enginenonoyesno
TriggersCallbacks using the Google Apps Enginenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallityyesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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) protocolAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreMemcachedRocksetTransbaseXTDB infoformerly named Crux
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