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DBMS > Google Cloud Datastore vs. Ignite vs. Realm vs. Riak TS

System Properties Comparison Google Cloud Datastore vs. Ignite vs. Realm vs. Riak TS

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIgnite  Xexclude from comparisonRealm  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument storeKey-value store
Relational DBMS
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#79  Overall
#12  Document stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Websitecloud.google.com/­datastoreignite.apache.orgrealm.io
Technical documentationcloud.google.com/­datastore/­docsapacheignite.readme.io/­docsrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperGoogleApache Software FoundationRealm, acquired by MongoDB in May 2019Open Source, formerly Basho Technologies
Initial release2008201520142015
Current releaseApache Ignite 2.63.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source
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 languageC++, Java, .NetErlang
Server operating systemshostedLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesno
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.noyesnono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLnoyes, limited
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresusing Google App Engineyes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessaryErlang
TriggersCallbacks using the Google Apps Engineyes (cache interceptors and events)yes infoChange Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)noyes
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsyesno

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