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DBMS > Google Cloud Datastore vs. Hazelcast vs. JSqlDb vs. PouchDB vs. Sqrrl

System Properties Comparison Google Cloud Datastore vs. Hazelcast vs. JSqlDb vs. PouchDB vs. Sqrrl

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHazelcast  Xexclude from comparisonJSqlDb  Xexclude from comparisonPouchDB  Xexclude from comparisonSqrrl  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA widely adopted in-memory data gridJavaScript Query Language Database, stores JavaScript objects and primitivesJavaScript DBMS with an API inspired by CouchDBAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeKey-value storeDocument store
Object oriented DBMS
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
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
Score2.28
Rank#115  Overall
#21  Document stores
Websitecloud.google.com/­datastorehazelcast.comjsqldb.org (offline)pouchdb.comsqrrl.com
Technical documentationcloud.google.com/­datastore/­docshazelcast.org/­imdg/­docspouchdb.com/­guides
DeveloperGoogleHazelcastKonrad von BackstromApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20082008201820122012
Current release5.3.6, November 20230.8, December 20187.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Sourcecommercial
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 languageJavaJavaScriptJava
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnonoyes
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 strategynono
Secondary indexesyesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptJavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresusing Google App Engineyes infoEvent Listeners, Executor Servicesfunctions in JavaScriptView functions in JavaScriptno
TriggersCallbacks using the Google Apps Engineyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoReplicated MapnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnoyesyes
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 AlgorithmEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononono
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 commitednoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Google Cloud DatastoreHazelcastJSqlDbPouchDBSqrrl
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