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DBMS > Google Cloud Datastore vs. Hazelcast vs. LokiJS vs. MaxDB vs. Trafodion

System Properties Comparison Google Cloud Datastore vs. Hazelcast vs. LokiJS vs. MaxDB vs. Trafodion

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHazelcast  Xexclude from comparisonLokiJS  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA widely adopted in-memory data gridIn-memory JavaScript DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.43
Rank#264  Overall
#42  Document stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitecloud.google.com/­datastorehazelcast.comgithub.com/­techfort/­LokiJSmaxdb.sap.comtrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docshazelcast.org/­imdg/­docstechfort.github.io/­LokiJSmaxdb.sap.com/­documentationtrafodion.apache.org/­documentation.html
DeveloperGoogleHazelcastSAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation, originally developed by HP
Initial release20082008201419842014
Current release5.3.6, November 20237.9.10.12, February 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++C++, Java
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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.noyes infothe object must implement a serialization strategynonono
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
JavaScript APIADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScript.Net
C#
Java
Perl
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresusing Google App Engineyes infoEvent Listeners, Executor ServicesView functions in JavaScriptyesJava Stored Procedures
TriggersCallbacks using the Google Apps Engineyes infoEventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoReplicated MapnoneSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesyesnoyes infovia user defined functions and HBase
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.Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreHazelcastLokiJSMaxDB infoformerly named Adabas-DTrafodion
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